diff --git a/docs/source/features/sampling.md b/docs/source/features/sampling.md
index 1db9455305f6..13b24f533243 100644
--- a/docs/source/features/sampling.md
+++ b/docs/source/features/sampling.md
@@ -19,9 +19,10 @@ The PyTorch backend supports a wide variety of features, listed below:
 There are two sampling backends available.
 
 * Torch Sampler
-* TRTLLM Sampler
+* TRTLLM Sampler (deprecated)
 
-Torch Sampler currently supports a superset of features of TRTLLM Sampler, and is intended as the long-term solution. One can specify which sampler to use explicitly with:
+Torch Sampler is used by default and supports a superset of features of TRTLLM Sampler. TRTLLM Sampler will be removed in release 1.4.
+One can specify which sampler to use explicitly with:
 
 ```python
 from tensorrt_llm import LLM
diff --git a/jenkins/TensorRT_LLM_PLC.groovy b/jenkins/TensorRT_LLM_PLC.groovy
index 1a549ad97b92..3186024aa7e0 100644
--- a/jenkins/TensorRT_LLM_PLC.groovy
+++ b/jenkins/TensorRT_LLM_PLC.groovy
@@ -1,4 +1,5 @@
 @Library(['trtllm-jenkins-shared-lib@main']) _
+import groovy.json.JsonSlurper
 
 def createKubernetesPodConfig()
 {
@@ -78,7 +79,16 @@ def getLLMRepo () {
 def installTools() {
     container("cpu") {
         sh "apt update"
-        sh "apt install -y git git-lfs openjdk-17-jdk python3-dev python3-venv curl unzip wget"
+        sh "apt install -y git git-lfs openjdk-17-jdk python3-dev python3-venv curl zip unzip wget"
+    }
+}
+
+def validateBranchName(String branch) {
+    container("cpu") {
+        def rc = sh(script: "git check-ref-format --branch '${branch}'", returnStatus: true)
+        if (rc != 0) {
+            error("Invalid branch name: '${branch}'")
+        }
     }
 }
 
@@ -86,15 +96,13 @@ def checkoutSource ()
 {
     container("cpu") {
         trtllm_utils.setupGitMirror()
-        stage("Checkout TRTLLM Source") {
-            def LLM_REPO = getLLMRepo()
-            sh "git config --global --add safe.directory ${env.WORKSPACE}"
-            trtllm_utils.checkoutSource(LLM_REPO, params.branchName, env.WORKSPACE, false, true)
-        }
+        def LLM_REPO = getLLMRepo()
+        sh "git config --global --add safe.directory ${env.WORKSPACE}"
+        trtllm_utils.checkoutSource(LLM_REPO, params.branchName, env.WORKSPACE, false, true)
     }
 }
 
-def getPulseToken() {
+def getPulseToken(serviceId, scopes) {
     def token
     //Configure credential 'starfleet-client-id' under Jenkins Credential Manager
     withCredentials([usernamePassword(
@@ -104,10 +112,10 @@ def getPulseToken() {
     )]) {
         // Do not save AUTH_HEADER to a groovy variable since that
         // will expose the auth_header without being masked
-        token= sh(script: '''
-            AUTH_HEADER=$(echo -n $SF_CLIENT_ID:$SF_CLIENT_SECRET | base64 -w0)
-            curl -s --request POST --header "Authorization: Basic $AUTH_HEADER" --header "Content-Type: application/x-www-form-urlencoded" "https://4ubglassowmtsi7ogqwarmut7msn1q5ynts62fwnr1i.ssa.nvidia.com/token?grant_type=client_credentials&scope=verify:nspectid%20sourcecode:blackduck%20update:report" | jq ".access_token" |  tr -d '"'
-        ''', returnStdout: true).trim()
+        token= sh(script: """
+            AUTH_HEADER=\$(echo -n \$SF_CLIENT_ID:\$SF_CLIENT_SECRET | base64 -w0)
+            curl -s --request POST --header "Authorization: Basic \$AUTH_HEADER" --header "Content-Type: application/x-www-form-urlencoded" "https://${serviceId}.ssa.nvidia.com/token?grant_type=client_credentials&scope=${scopes}" | jq ".access_token" |  tr -d '"'
+        """, returnStdout: true).trim()
     }
     return token
 }
@@ -169,22 +177,22 @@ def sonarScan()
     }
 }
 
-def pulseScan(llmRepo, branchName) {
+def pulseScanSourceCode(llmRepo, branchName) {
     container("docker") {
         sh "apk add jq curl"
-        def token = getPulseToken()
+        def token = getPulseToken("4ubglassowmtsi7ogqwarmut7msn1q5ynts62fwnr1i", "verify:nspectid%20sourcecode:blackduck%20update:report")
         if (!token) {
             throw new Exception("Invalid token get")
         }
         withCredentials([
             usernamePassword(
                 credentialsId: "svc_tensorrt_gitlab_read_api_token",
-                usernameVariable: 'USERNAME',
-                passwordVariable: 'PASSWORD'
+                usernameVariable: 'GITLAB_USERNAME',
+                passwordVariable: 'GITLAB_PASSWORD'
             ),
             string(credentialsId: 'default-git-url', variable: 'DEFAULT_GIT_URL')
         ]) {
-            trtllm_utils.llmExecStepWithRetry(this, script: "docker login ${DEFAULT_GIT_URL}:5005 -u ${USERNAME} -p ${PASSWORD}")
+            trtllm_utils.llmExecStepWithRetry(this, script: "docker login ${DEFAULT_GIT_URL}:5005 -u ${GITLAB_USERNAME} -p ${GITLAB_PASSWORD}")
             docker.withRegistry("https://${DEFAULT_GIT_URL}:5005") {
                 docker.image("pstooling/pulse-group/pulse-open-source-scanner/pulse-oss-cli:stable")
                   .inside("--user 0 --privileged -v /var/run/docker.sock:/var/run/docker.sock") {
@@ -207,25 +215,96 @@ def pulseScan(llmRepo, branchName) {
         }
     }
     container("cpu") {
-        sh "cat nspect_scan_report.json"
-        sh 'unzip -p sbom.zip "*.json" > sbom_toupload.json'
-        sh "cat sbom_toupload.json"
+        def outputDir = "scan_report/source_code"
+        sh "mkdir -p ${outputDir}"
+        sh "unzip -p sbom.zip \"*.json\" > ${outputDir}/sbom.json"
+        sh "mv nspect_scan_report.json ${outputDir}/vulns.json"
+    }
+}
+def pulseScanContainer(llmRepo, branchName) {
+    // imageTags: key -> [image: <full image:tag>, platform: <platform or empty>]
+    def imageTags = [:]
+    container("cpu") {
+        def output = sh(
+            script: "python3 ./jenkins/scripts/get_image_key_to_tag.py ${params.branchName}",
+            returnStdout: true
+        ).trim()
+        println(output)
+        def containerTagMap = new JsonSlurper().parseText(output)
+        imageTags["release_amd64"] = [image: containerTagMap["NGC Release Image amd64"], platform: "linux/amd64"]
+        imageTags["release_arm64"] = [image: containerTagMap["NGC Release Image arm64"], platform: "linux/arm64"]
+
+        def baseImage = sh(script: "grep -m1 '^ARG BASE_IMAGE=' docker/Dockerfile.multi | cut -d= -f2", returnStdout: true).trim()
+        def baseTag = sh(script: "grep -m1 '^ARG BASE_TAG=' docker/Dockerfile.multi | cut -d= -f2", returnStdout: true).trim()
+        imageTags["base_amd64"] = [image: "${baseImage}:${baseTag}", platform: "linux/amd64"]
+        imageTags["base_arm64"] = [image: "${baseImage}:${baseTag}", platform: "linux/arm64"]
+    }
+    container("docker") {
+        sh "apk add jq curl"
+        def token = getPulseToken("x9thwm-cootr2q1jdv5p7b8iw4fs4ob3x6nqqsoznyk", "nspect.verify%20scan.anchore")
+        if (!token) {
+            throw new Exception("Invalid token get")
+        }
+        withCredentials([
+            usernamePassword(
+                credentialsId: "svc_tensorrt_gitlab_read_api_token",
+                usernameVariable: 'GITLAB_USERNAME',
+                passwordVariable: 'GITLAB_PASSWORD'
+            ),
+            usernamePassword(
+                credentialsId: "urm-artifactory-creds",
+                usernameVariable: 'URM_USERNAME',
+                passwordVariable: 'URM_PASSWORD'
+            ),
+            string(credentialsId: 'default-git-url', variable: 'DEFAULT_GIT_URL'),
+        ]) {
+            trtllm_utils.llmExecStepWithRetry(this, script: "docker login ${DEFAULT_GIT_URL}:5005 -u ${GITLAB_USERNAME} -p ${GITLAB_PASSWORD}")
+            trtllm_utils.llmExecStepWithRetry(this, script: "docker login urm.nvidia.com -u ${URM_USERNAME} -p ${URM_PASSWORD}")
+            docker.withRegistry("https://${DEFAULT_GIT_URL}:5005") {
+                docker.image("gitlab-master.nvidia.com:5005/pstooling/pulse-group/pulse-container-scanner/pulse-cli:5.1.0")
+                .inside("--user 0 --privileged -v /var/run/docker.sock:/var/run/docker.sock") {
+                    withEnv([
+                        "NSPECT_ID=NSPECT-95LK-6FZF",
+                        "SSA_TOKEN=${token}",
+                    ]) {
+                        imageTags.each { key, entry ->
+                            def platform = entry.platform.replace("linux/", "")
+                            def outputDir = "scan_report/${key}"
+                            sh "mkdir -p ${outputDir}"
+                            echo "Scanning ${key}: ${entry.image} (${entry.platform}) -> ${outputDir}"
+                            sh "pulse-cli -n \$NSPECT_ID --ssa \$SSA_TOKEN scan-image -i ${entry.image} --platform ${entry.platform} --sbom=cyclonedx-json --output-dir=${outputDir} -o"
+                        }
+                    }
+                }
+            }
+        }
+    }
+}
+
+def processScanResults(branchName) {
+    container("cpu") {
+        def ELASTICSEARCH_POST_URL = "http://nvdataflow.nvidia.com/dataflow/swdl-tensorrt-infra-plc-scan/posting"
+        def ELASTICSEARCH_QUERY_URL = "https://gpuwa.nvidia.com/elasticsearch"
+        def TRTLLM_ES_INDEX_BASE = "df-swdl-tensorrt-infra-plc-scan"
+        def TRTLLM_ES_INDEX_PREAPPROVED_BASE = "df-swdl-tensorrt-infra-plc-container-pre-approve"
+        def jobPath = env.JOB_NAME.replaceAll("/", "%2F")
+        def pipelineUrl = "${env.JENKINS_URL}blue/organizations/jenkins/${jobPath}/detail/${jobPath}/${env.BUILD_NUMBER}/pipeline"
         withCredentials([string(credentialsId: 'trtllm_plc_slack_webhook', variable: 'PLC_SLACK_WEBHOOK')]) {
-            def ELASTICSEARCH_POST_URL = "http://nvdataflow.nvidia.com/dataflow/swdl-tensorrt-infra-plc/posting"
-            def ELASTICSEARCH_QUERY_URL = "https://gpuwa.nvidia.com/elasticsearch"
-            def TRTLLM_ES_INDEX_BASE = "df-swdl-tensorrt-infra-plc"
-            def jobPath = env.JOB_NAME.replaceAll("/", "%2F")
-            def pipelineUrl = "${env.JENKINS_URL}blue/organizations/jenkins/${jobPath}/detail/${jobPath}/${env.BUILD_NUMBER}/pipeline"
             withEnv([
                 "TRTLLM_ES_POST_URL=${ELASTICSEARCH_POST_URL}",
                 "TRTLLM_ES_QUERY_URL=${ELASTICSEARCH_QUERY_URL}",
                 "TRTLLM_ES_INDEX_BASE=${TRTLLM_ES_INDEX_BASE}",
+                "TRTLLM_ES_INDEX_PREAPPROVED_BASE=${TRTLLM_ES_INDEX_PREAPPROVED_BASE}",
                 "TRTLLM_PLC_WEBHOOK=${PLC_SLACK_WEBHOOK}"
             ]) {
                 sh """
                     python3 -m venv venv
                     venv/bin/pip install requests elasticsearch==7.13.4
-                    venv/bin/python ./jenkins/scripts/submit_vulnerability_report.py --build-url ${pipelineUrl} --build-number ${env.BUILD_NUMBER} --branch ${params.branchName}
+                    venv/bin/python ./jenkins/scripts/pulse_in_pipeline_scanning/main.py \
+                        --build-url ${pipelineUrl} \
+                        --build-number ${env.BUILD_NUMBER} \
+                        --branch ${branchName} \
+                        --report-directory ${pwd()}/scan_report
                 """
             }
         }
@@ -256,7 +335,6 @@ pipeline {
         // Jobs in other folders (e.g. personal/dev pipelines) will have no cron trigger.
         parameterizedCron(env.JOB_NAME.startsWith('LLM/helpers/') ? '''
             H 2 * * * %branchName=main;repoUrlKey=tensorrt_llm_github
-            H 3 * * * %branchName=release/1.2;repoUrlKey=tensorrt_llm_github
         ''' : '')
     }
     stages {
@@ -265,34 +343,29 @@ pipeline {
                 script {
                     installTools()
                     checkoutSource()
+                    validateBranchName(params.branchName)
                 }
             }
         }
         stage('Run TRT-LLM PLC Jobs') {
             parallel {
-                stage("Source Code OSS Scanning"){
-                    stages {
-                        stage("Generate Lock Files"){
-                            steps
-                            {
-                                script {
-                                    generateLockFiles(env.LLM_REPO, env.BRANCH_NAME)
-                                }
-                            }
+                stage("Source Code OSS Scanning") {
+                    steps {
+                        script {
+                            generateLockFiles(env.LLM_REPO, env.BRANCH_NAME)
+                            pulseScanSourceCode(env.LLM_REPO, env.BRANCH_NAME)
                         }
-                        stage("Run Pulse Scanning"){
-                            steps
-                            {
-                                script {
-                                    pulseScan(env.LLM_REPO, env.BRANCH_NAME)
-                                }
-                            }
+                    }
+                }
+                stage("Run Container Scanning") {
+                    steps {
+                        script {
+                            pulseScanContainer(env.LLM_REPO, env.BRANCH_NAME)
                         }
                     }
                 }
-                stage("SonarQube Code Analysis"){
-                    steps
-                    {
+                stage("SonarQube Code Analysis") {
+                    steps {
                         script {
                             sonarScan()
                         }
@@ -300,5 +373,12 @@ pipeline {
                 }
             }
         }
+        stage("Process Scan Result") {
+            steps {
+                script {
+                    processScanResults(env.BRANCH_NAME)
+                }
+            }
+        }
     } // stages
 } // pipeline
diff --git a/jenkins/scripts/get_image_key_to_tag.py b/jenkins/scripts/get_image_key_to_tag.py
new file mode 100755
index 000000000000..fbaced2d0346
--- /dev/null
+++ b/jenkins/scripts/get_image_key_to_tag.py
@@ -0,0 +1,94 @@
+#!/usr/bin/env python3
+# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+import sys
+import urllib.error
+import urllib.request
+
+
+def fetch_url(url):
+    try:
+        with urllib.request.urlopen(url) as response:
+            return response.status, response.read()
+    except urllib.error.HTTPError as e:
+        return e.code, None
+    except Exception as e:
+        print(f"Error fetching {url}: {e}", file=sys.stderr)
+        return None, None
+
+
+def get_latest_build_number(jenkins_base):
+    for build_type in ("lastBuild", "lastCompletedBuild"):
+        url = f"{jenkins_base}/{build_type}/api/json"
+        status, data = fetch_url(url)
+        if status == 200 and data:
+            try:
+                return json.loads(data)["number"]
+            except (json.JSONDecodeError, KeyError):
+                pass
+        if build_type == "lastBuild":
+            print(
+                "Failed to get last build number. Trying last completed build...", file=sys.stderr
+            )
+    return None
+
+
+def main():
+    if len(sys.argv) != 2:
+        print(f"Usage: {sys.argv[0]} <branch_name>", file=sys.stderr)
+        sys.exit(1)
+
+    branch_name = sys.argv[1]
+    jenkins_base = (
+        f"https://prod.blsm.nvidia.com/sw-tensorrt-top-1/job/LLM/job/{branch_name}/job/L0_PostMerge"
+    )
+    artifactory_base = (
+        f"https://urm.nvidia.com/artifactory/sw-tensorrt-generic-local/"
+        f"llm-artifacts/LLM/{branch_name}/L0_PostMerge"
+    )
+
+    print(f"Fetching latest build number from Jenkins for branch: {branch_name}", file=sys.stderr)
+
+    build_number = get_latest_build_number(jenkins_base)
+    if build_number is None:
+        print(
+            f"Error: Could not determine the latest build number from {jenkins_base}",
+            file=sys.stderr,
+        )
+        sys.exit(1)
+
+    print(f"Latest build number: {build_number}", file=sys.stderr)
+
+    while build_number > 0:
+        artifact_url = f"{artifactory_base}/{build_number}/imageKeyToTag.json"
+        print(f"Fetching: {artifact_url}", file=sys.stderr)
+        status, data = fetch_url(artifact_url)
+        if status == 200 and data:
+            sys.stdout.write(data.decode())
+            sys.exit(0)
+        print(
+            f"Got HTTP {status} for build {build_number}, trying build {build_number - 1}...",
+            file=sys.stderr,
+        )
+        build_number -= 1
+
+    print("Error: Could not find imageKeyToTag.json in any recent build", file=sys.stderr)
+    sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/main.py b/jenkins/scripts/pulse_in_pipeline_scanning/main.py
new file mode 100644
index 000000000000..0b00e12fb95b
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/main.py
@@ -0,0 +1,115 @@
+import argparse
+import os
+from datetime import datetime, timezone
+
+from submit_report import (
+    submit_container_licenses,
+    submit_container_vulns,
+    submit_source_code_licenses,
+    submit_source_code_vulns,
+)
+from utils.es import get_last_scan_results
+from utils.slack import post_slack_msg
+
+# this json file will be generated from pulse in pipeline scanning
+SOURCE_CODE_VULNERABILITY = "./nspect_scan_report.json"
+SOURCE_CODE_SBOM = "./sbom_toupload.json"
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--build-url", required=True, help="Jenkins build URL")
+parser.add_argument("--build-number", required=True, help="Jenkins build number")
+parser.add_argument("--branch", required=True, help="Branch name that passed to the pipeline")
+parser.add_argument(
+    "--report-directory",
+    required=False,
+    help="Directory where the reports located",
+    default="./scan_report",
+)
+args = parser.parse_args()
+
+SEVERITY_RANK = {"Critical": 4, "High": 3, "Medium": 2, "Low": 1}
+ES_HEADERS = {"Content-Type": "application/json"}
+
+
+SUBMIT_KWARG = {
+    "build_metadata": {
+        "build_url": args.build_url,
+        "build_number": args.build_number,
+        "branch": args.branch,
+    },
+    "start_datetime": datetime.now(timezone.utc),
+}
+
+
+def process_container_result():
+    NEW_RISKY_DEPENDENCIES = []
+
+    last_source_vulns = get_last_scan_results("source_code_vulnerability", args.branch)
+    new_source_vulns = submit_source_code_vulns(
+        os.path.join(args.report_directory, "source_code/vulns.json"),
+        last_source_vulns,
+        **SUBMIT_KWARG,
+    )
+    if len(new_source_vulns) > 0:
+        NEW_RISKY_DEPENDENCIES.append(f"{len(new_source_vulns)} new source code vulnerability")
+
+    last_source_licenses = get_last_scan_results("source_code_license", args.branch)
+    new_source_licenses = submit_source_code_licenses(
+        os.path.join(args.report_directory, "source_code/sbom.json"),
+        last_source_licenses,
+        **SUBMIT_KWARG,
+    )
+    if len(new_source_licenses) > 0:
+        NEW_RISKY_DEPENDENCIES.append(
+            f"{len(new_source_licenses)} new source code non-permissive license"
+        )
+
+    last_container_vulns = get_last_scan_results("container_vulnerability", args.branch)
+    new_amd64_container_vulns = submit_container_vulns(
+        os.path.join(args.report_directory, "release_amd64/vulns.json"),
+        os.path.join(args.report_directory, "base_amd64/vulns.json"),
+        "amd64",
+        last_container_vulns,
+        **SUBMIT_KWARG,
+    )
+    new_arm64_container_vulns = submit_container_vulns(
+        os.path.join(args.report_directory, "release_arm64/vulns.json"),
+        os.path.join(args.report_directory, "base_arm64/vulns.json"),
+        "arm64",
+        last_container_vulns,
+        **SUBMIT_KWARG,
+    )
+    count_container_vulns = len(new_amd64_container_vulns + new_arm64_container_vulns)
+    if count_container_vulns > 0:
+        NEW_RISKY_DEPENDENCIES.append(f"{count_container_vulns} new container vulnerability")
+
+    last_container_licenses = get_last_scan_results("container_license", args.branch)
+    new_amd64_container_licenses = submit_container_licenses(
+        os.path.join(args.report_directory, "release_amd64/licenses.json"),
+        os.path.join(args.report_directory, "base_amd64/licenses.json"),
+        "amd64",
+        last_container_licenses,
+        **SUBMIT_KWARG,
+    )
+    new_arm64_container_licenses = submit_container_licenses(
+        os.path.join(args.report_directory, "release_arm64/licenses.json"),
+        os.path.join(args.report_directory, "base_arm64/licenses.json"),
+        "arm64",
+        last_container_licenses,
+        **SUBMIT_KWARG,
+    )
+    count_container_licenses = len(new_amd64_container_licenses + new_arm64_container_licenses)
+    if count_container_licenses > 0:
+        NEW_RISKY_DEPENDENCIES.append(
+            f"{count_container_licenses} new container non-permissive license"
+        )
+
+    if NEW_RISKY_DEPENDENCIES:
+        print(", ".join(NEW_RISKY_DEPENDENCIES))
+        post_slack_msg(args.build_number, args.branch, ", ".join(NEW_RISKY_DEPENDENCIES))
+    else:
+        print("No new risk involved")
+
+
+if __name__ == "__main__":
+    process_container_result()
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/submit_preapproved.py b/jenkins/scripts/pulse_in_pipeline_scanning/submit_preapproved.py
new file mode 100644
index 000000000000..4f68b2cc84c4
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/submit_preapproved.py
@@ -0,0 +1,95 @@
+import argparse
+import csv
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+import requests
+
+ES_POST_URL = os.environ.get("TRTLLM_ES_PREAPPROVED_POST_URL")
+if not ES_POST_URL:
+    raise EnvironmentError("Environment variable 'TRTLLM_ES_PREAPPROVED_POST_URL' is not set.")
+
+
+def es_post(url: str, documents: list) -> tuple[int, bool]:
+    """POST documents to an Elasticsearch bulk endpoint."""
+    if not documents:
+        return 0, False
+    resp = requests.post(
+        url.rstrip("/"),
+        data=json.dumps(documents),
+        headers={"Content-Type": "application/json"},
+        timeout=60,
+    )
+    resp.raise_for_status()
+    result = resp.json()
+    indexed = sum(
+        1
+        for item in result.get("items", [])
+        if item.get("index", {}).get("result") in ("created", "updated")
+    )
+    errors = result.get("errors", False)
+    if errors:
+        failed = [
+            item["index"] for item in result.get("items", []) if item.get("index", {}).get("error")
+        ]
+        print(f"Indexing errors ({len(failed)}):")
+        for f in failed:
+            print(f"  {f.get('_id')}: {f.get('error', {}).get('reason')}")
+    return indexed, errors
+
+
+def load_preapproved(csv_path: str) -> list[dict]:
+    """Parse pre_approved.csv and return a list of ES documents."""
+    path = Path(csv_path)
+    if not path.exists():
+        raise FileNotFoundError(f"CSV file not found: {csv_path}")
+
+    ts = int(datetime.now(timezone.utc).timestamp() * 1000)
+
+    preapproved_dependencies = []
+    with path.open(newline="") as f:
+        reader = csv.reader(f)
+        for row in reader:
+            if not row:
+                continue
+            package_name = row[0].strip() if len(row) > 0 else ""
+            package_version = row[1].strip() if len(row) > 1 else ""
+            if not package_name:
+                continue
+            preapproved_dependencies.append(
+                {
+                    "s_package_name": package_name,
+                    "s_package_version": package_version or None,
+                }
+            )
+    return [{"ts_created": ts, "preapproved_deps": preapproved_dependencies}]
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Upload pre-approved license list to Elasticsearch."
+    )
+    parser.add_argument(
+        "--csv",
+        default="./pre_approved.csv",
+        help="Path to pre_approved.csv (default: %(default)s)",
+    )
+    args = parser.parse_args()
+
+    docs = load_preapproved(args.csv)
+    print(f"Loaded {len(docs)} pre-approved entries from {args.csv}")
+    print(docs)
+
+    indexed, errors = es_post(ES_POST_URL, docs)
+    if errors:
+        print("ERROR: Elasticsearch reported indexing errors.", file=sys.stderr)
+        sys.exit(1)
+
+    print(f"Successfully indexed {indexed} documents.")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/submit_report.py b/jenkins/scripts/pulse_in_pipeline_scanning/submit_report.py
new file mode 100644
index 000000000000..f186b738ca55
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/submit_report.py
@@ -0,0 +1,243 @@
+import json
+import os
+import sys
+from datetime import datetime
+from pathlib import Path
+from typing import NotRequired, TypedDict
+
+sys.path.append(os.path.abspath(".."))
+from utils.common import load_json
+from utils.es import es_post
+from utils.report import diff_licenses, diff_vulns
+
+ES_POST_URL = os.environ.get("TRTLLM_ES_POST_URL")
+if not ES_POST_URL:
+    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_POST_URL' is not set!")
+
+SEVERITY_RANK = {"Critical": 4, "High": 3, "Medium": 2, "Low": 1}
+GPL_LICENSE_PREFIXES = ("GPL", "LGPL", "GCC GPL")
+
+
+class BuildMetadata(TypedDict):
+    build_url: str
+    build_number: str
+    branch: str
+    platform: NotRequired[str]
+
+
+def safe(value, default=None):
+    return value if value else default
+
+
+def submit_source_code_vulns(
+    input_file: str, last_scan_result: dict, build_metadata: BuildMetadata, start_datetime: datetime
+):
+    # Read scan report
+
+    bulk_documents = []
+    new_items = []
+    vulns_path = Path(input_file)
+    if vulns_path.exists():
+        vulnerabilities = json.loads(vulns_path.read_text())
+
+        for v in vulnerabilities:
+            sev = v.get("Severity", "Low")
+            if SEVERITY_RANK.get(sev, 0) <= 2:
+                continue
+            package_name = safe(v.get("Package Name"))
+            package_version = safe(v.get("Package Version"))
+            result_key = (package_name, package_version)
+            is_new = result_key not in last_scan_result
+            doc = {
+                "ts_created": int(start_datetime.timestamp() * 1000),
+                "s_type": "source_code_vulnerability",
+                "s_run_date": start_datetime.strftime("%Y-%m-%d"),
+                "s_build_url": build_metadata["build_url"],
+                "s_build_number": build_metadata["build_number"],
+                "s_branch": build_metadata["branch"],
+                "s_severity": safe(v.get("Severity")),
+                "s_package_name": package_name,
+                "s_package_version": package_version,
+                "s_cve": safe(v.get("Related Vuln")),
+                "s_bdsa": safe(v.get("CVE ID")),
+                "d_score": safe(v.get("Score")),
+                "s_status": safe(v.get("Status")),
+                "s_published_date": safe(v.get("Vulnerability Published Date")),
+                "s_upgrade_short_term": safe(v.get("Upgrade-Guidance", {}).get("Short-Term")),
+                "s_upgrade_long_term": safe(v.get("Upgrade-Guidance", {}).get("Long-Term")),
+                "b_is_new": is_new,
+            }
+            if is_new:
+                new_items.append(doc)
+
+            bulk_documents.append(doc)
+
+        vulnerability_count = len(bulk_documents)
+        if vulnerability_count:
+            _, errors = es_post(ES_POST_URL, bulk_documents)
+            if errors:
+                raise RuntimeError(
+                    "Elasticsearch bulk indexing reported errors for vulnerability report."
+                )
+    else:
+        print(f"Vulnerability result json not found, vulnerability reporting: {input_file}")
+
+    return new_items
+
+
+def submit_source_code_licenses(
+    input_file: str, last_scan_result: dict, build_metadata: BuildMetadata, start_datetime: datetime
+):
+    sbom_documents = []
+    new_items = []
+    sbom_path = Path(input_file)
+    if sbom_path.exists():
+        sbom_data = json.loads(sbom_path.read_text())
+        for component in sbom_data.get("components", []):
+            license_ids = []
+            package_name = component.get("name")
+            package_version = component.get("version")
+            for lic_entry in component.get("licenses", []):
+                lic = lic_entry.get("license", {})
+                license_ids.append(lic.get("id") or lic.get("name") or "")
+            gpl_licenses = [lid for lid in license_ids if lid.startswith(GPL_LICENSE_PREFIXES)]
+            if not gpl_licenses:
+                continue
+            result_key = (package_name, package_version)
+            is_new = result_key not in last_scan_result
+            purl = component.get("purl", "")
+            supplier = component.get("supplier", {}).get("name", "") or ""
+            doc = {
+                "ts_created": int(start_datetime.timestamp() * 1000),
+                "s_type": "source_code_license",
+                "s_run_date": start_datetime.strftime("%Y-%m-%d"),
+                "s_build_url": build_metadata["build_url"],
+                "s_build_number": build_metadata["build_number"],
+                "s_branch": build_metadata["branch"],
+                "s_package_name": package_name,
+                "s_package_version": package_version,
+                "s_purl": purl,
+                "s_supplier": supplier,
+                "s_license_ids": ",".join(gpl_licenses),
+                "s_bom_ref": component.get("bom-ref"),
+                "s_component_type": component.get("type"),
+                "b_is_new": is_new,
+            }
+            if is_new:
+                new_items.append(doc)
+            sbom_documents.append(doc)
+        if sbom_documents:
+            _, sbom_errors = es_post(ES_POST_URL, sbom_documents)
+            if sbom_errors:
+                raise RuntimeError(
+                    "Elasticsearch bulk indexing reported errors for SBOM license report."
+                )
+    else:
+        print(f"SBOM file not found, skipping GPL/LGPL license reporting: {input_file}")
+
+    return new_items
+
+
+def submit_container_vulns(
+    input_file: str,
+    base_input_file: str,
+    platform: str,
+    last_scan_result: dict,
+    build_metadata: BuildMetadata,
+    start_datetime: datetime,
+):
+    release_data = load_json(input_file)
+    base_data = load_json(base_input_file)
+    trtllm_deps = diff_vulns(input_file)
+
+    docs = []
+    new_items = []
+    release_image = release_data.get("image_tag", "")
+    base_image = base_data.get("image_tag", "")
+    for v in trtllm_deps:
+        package_name = v.get("package_name")
+        package_version = v.get("package_version")
+        result_key = (package_name, package_version)
+        is_new = result_key not in last_scan_result
+        doc = {
+            "ts_created": int(start_datetime.timestamp() * 1000),
+            "s_type": "container_vulnerability",
+            "s_run_date": start_datetime.strftime("%Y-%m-%d"),
+            "s_build_url": build_metadata["build_url"],
+            "s_build_number": build_metadata["build_number"],
+            "s_branch": build_metadata["branch"],
+            "s_platform": platform,
+            "s_release_image": release_image,
+            "s_base_image": base_image,
+            "s_severity": v.get("severity"),
+            "s_package_name": package_name,
+            "s_package_version": package_version,
+            "s_cve": v.get("vuln"),
+            "s_package_paths": ",".join(v.get("package_paths", [])),
+            "b_is_new": is_new,
+        }
+        if is_new:
+            new_items.append(doc)
+        docs.append(doc)
+    if docs:
+        _, errors = es_post(ES_POST_URL, docs)
+        if errors:
+            raise RuntimeError(
+                f"Elasticsearch indexing errors for container vulnerability ({release_image})."
+            )
+    else:
+        print(f"No High/Critical container vulnerabilities in {release_image}.")
+
+    return new_items
+
+
+def submit_container_licenses(
+    input_file: str,
+    base_input_file: str,
+    platform: str,
+    last_scan_result: dict,
+    build_metadata: BuildMetadata,
+    start_datetime: datetime,
+):
+    release_data = load_json(input_file)
+    base_data = load_json(base_input_file)
+    trtllm_deps = diff_licenses(input_file, base_input_file)
+
+    docs = []
+    new_items = []
+    release_image = release_data.get("image_tag", "")
+    base_image = base_data.get("image_tag", "")
+    for v in trtllm_deps:
+        package_name = v.get("package_name")
+        package_version = v.get("package_version")
+        result_key = (package_name, package_version)
+        is_new = result_key not in last_scan_result
+        doc = {
+            "ts_created": int(start_datetime.timestamp() * 1000),
+            "s_type": "container_license",
+            "s_run_date": start_datetime.strftime("%Y-%m-%d"),
+            "s_build_url": build_metadata["build_url"],
+            "s_build_number": build_metadata["build_number"],
+            "s_branch": build_metadata["branch"],
+            "s_platform": platform,
+            "s_release_image": release_image,
+            "s_base_image": base_image,
+            "s_package_name": package_name,
+            "s_package_version": package_version,
+            "s_package_type": v.get("type"),
+            "s_license_ids": ",".join(v.get("licenses", [])),
+            "b_is_new": is_new,
+        }
+        if is_new:
+            new_items.append(doc)
+        docs.append(doc)
+    if docs:
+        _, errors = es_post(ES_POST_URL, docs)
+        if errors:
+            raise RuntimeError(
+                f"Elasticsearch indexing errors for container licenses ({release_image})."
+            )
+    else:
+        print(f"No non-permissive licenses in {release_image}.")
+
+    return new_items
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/utils/common.py b/jenkins/scripts/pulse_in_pipeline_scanning/utils/common.py
new file mode 100644
index 000000000000..1e24d7d5fa4d
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/utils/common.py
@@ -0,0 +1,14 @@
+import json
+
+NON_PERMISSIVE_LICENSE_PREFIXES = ("GPL", "LGPL", "GCC GPL", "AGPL", "SSPL", "CPAL", "EUPL")
+
+
+def load_json(path):
+    with open(path) as f:
+        return json.load(f)
+
+
+def is_non_permissive(licenses):
+    return len(licenses) == 0 or any(
+        lic.startswith(NON_PERMISSIVE_LICENSE_PREFIXES) for lic in licenses
+    )
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/utils/es.py b/jenkins/scripts/pulse_in_pipeline_scanning/utils/es.py
new file mode 100644
index 000000000000..fbbef21235ca
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/utils/es.py
@@ -0,0 +1,122 @@
+import json
+import os
+
+import requests
+from elasticsearch import Elasticsearch, RequestsHttpConnection
+
+ES_QUERY_URL = os.environ.get("TRTLLM_ES_QUERY_URL")
+ES_INDEX_BASE = os.environ.get("TRTLLM_ES_INDEX_BASE") or ""
+ES_INDEX_PREAPPROVED_BASE = os.environ.get("TRTLLM_ES_INDEX_PREAPPROVED_BASE") or ""
+
+if not ES_QUERY_URL:
+    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_QUERY_URL' is not set!")
+if not ES_INDEX_BASE:
+    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_INDEX_BASE' is not set!")
+if not ES_INDEX_PREAPPROVED_BASE:
+    raise EnvironmentError(
+        "Error: Environment variable 'TRTLLM_ES_INDEX_PREAPPROVED_BASE' is not set!"
+    )
+
+TIMEOUT = 1000
+ES_CLIENT = Elasticsearch(
+    timeout=TIMEOUT, hosts=ES_QUERY_URL, connection_class=RequestsHttpConnection
+)
+
+
+def es_post(url, documents):
+    """POST a list of documents to an Elasticsearch index and return (indexed, errors)."""
+    if not documents:
+        return 0, False
+    resp = requests.post(
+        url.rstrip("/"),
+        data=json.dumps(documents),
+        headers={"Content-Type": "application/json"},
+        timeout=60,
+    )
+    resp.raise_for_status()
+    result = resp.json()
+    indexed = sum(
+        1
+        for item in result.get("items", [])
+        if item.get("index", {}).get("result") in ("created", "updated")
+    )
+    errors = result.get("errors", False)
+    if errors:
+        failed = [
+            item["index"] for item in result.get("items", []) if item.get("index", {}).get("error")
+        ]
+        print(f"Indexing errors ({len(failed)}):")
+        for f in failed:
+            print(f"  {f.get('_id')}: {f.get('error', {}).get('reason')}")
+    return indexed, errors
+
+
+def get_last_scan_results(report_type: str, branch: str):
+    data = ES_CLIENT.search(
+        index=ES_INDEX_BASE + "-*",
+        body={
+            "size": 0,  # only the latest
+            "query": {
+                "bool": {
+                    "filter": [
+                        {"term": {"s_type": report_type}},
+                        {"term": {"s_branch": branch}},
+                    ]
+                }
+            },
+            "aggs": {"latest_ts": {"max": {"field": "ts_created"}}},
+        },
+    )
+    if "aggregations" not in data or not data["aggregations"]["latest_ts"]["value"]:
+        return {}
+    latest_ts = data["aggregations"]["latest_ts"]["value"]
+    scroll_size = 1000
+    docs = []
+
+    resp = ES_CLIENT.search(
+        index=ES_INDEX_BASE + "-*",
+        body={
+            "query": {
+                "bool": {
+                    "filter": [
+                        {"term": {"s_type": report_type}},
+                        {"term": {"s_branch": branch}},
+                        {"term": {"ts_created": int(latest_ts)}},
+                    ]
+                }
+            },
+        },
+        size=scroll_size,
+        scroll="2m",
+    )
+
+    scroll_id = resp["_scroll_id"]
+    hits = resp["hits"]["hits"]
+    docs.extend(hits)
+
+    while len(hits) > 0:
+        resp = ES_CLIENT.scroll(scroll_id=scroll_id, scroll="2m")
+        scroll_id = resp["_scroll_id"]
+        hits = resp["hits"]["hits"]
+        docs.extend(hits)
+
+    detected_dependencies = {}
+    for doc in docs:
+        package_name = doc["_source"]["s_package_name"]
+        package_version = doc["_source"]["s_package_version"]
+        if (package_name, package_version) not in detected_dependencies:
+            detected_dependencies[(package_name, package_version)] = 1
+        else:
+            detected_dependencies[(package_name, package_version)] += 1
+    return detected_dependencies
+
+
+def get_latest_license_preapproved_container_deps():
+    data = ES_CLIENT.search(
+        index=ES_INDEX_PREAPPROVED_BASE + "-*",
+        body={"size": 1, "sort": [{"ts_created": "desc"}], "_source": ["preapproved_deps"]},
+    )
+    data_source = data["hits"]["hits"][0]["_source"]
+    if not data_source:
+        return []
+    return data_source["preapproved_deps"]
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/utils/report.py b/jenkins/scripts/pulse_in_pipeline_scanning/utils/report.py
new file mode 100644
index 000000000000..c52bfac216ac
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/utils/report.py
@@ -0,0 +1,67 @@
+from utils.es import get_latest_license_preapproved_container_deps
+
+from .common import is_non_permissive, load_json
+
+HIGH_SEVERITY = frozenset({"Critical", "High"})
+
+
+def dedup_vulns(vulns):
+    """Deduplicate by (vuln, package_name, package_version), merging package_paths."""
+    seen = {}
+    for v in vulns:
+        key = (v["vuln"], v["package_name"], v["package_version"])
+        if key not in seen:
+            seen[key] = dict(v)
+            seen[key]["package_paths"] = [v["package_path"]]
+        else:
+            if v["package_path"] not in seen[key]["package_paths"]:
+                seen[key]["package_paths"].append(v["package_path"])
+    return seen
+
+
+def dedup_licenses(contents):
+    """Deduplicate by (package, version, type), merging license lists."""
+    seen = {}
+    for e in contents:
+        key = e["package"]
+        if key not in seen:
+            seen[key] = dict(e)
+            seen[key]["licenses"] = sorted(set(e["licenses"]))
+        else:
+            seen[key]["licenses"] = sorted(set(seen[key]["licenses"]) | set(e["licenses"]))
+    return seen
+
+
+def diff_vulns(release_path):
+    release_data = load_json(release_path)
+
+    release_vulns = dedup_vulns(release_data["vulnerabilities"])
+    introduced_vulns = [v for _, v in release_vulns.items() if v.get("severity") in HIGH_SEVERITY]
+
+    return introduced_vulns
+
+
+def diff_licenses(release_path, base_path):
+    release_data = load_json(release_path)
+    base_data = load_json(base_path)
+    preapproved_deps = get_latest_license_preapproved_container_deps()
+    map_preapproved_deps = {}
+    for item in preapproved_deps:
+        map_preapproved_deps[item["s_package_name"]] = True
+
+    release_pkgs = dedup_licenses(release_data["contents"])
+    base_pkgs = dedup_licenses(base_data["contents"])
+
+    introduced_licenses = [
+        v
+        for k, v in release_pkgs.items()
+        if (
+            (k not in base_pkgs)
+            and (k not in map_preapproved_deps)
+            and is_non_permissive(v["licenses"])
+        )
+    ]
+
+    introduced_licenses.sort(key=lambda e: (e["package"], e["version"]))
+
+    return introduced_licenses
diff --git a/jenkins/scripts/pulse_in_pipeline_scanning/utils/slack.py b/jenkins/scripts/pulse_in_pipeline_scanning/utils/slack.py
new file mode 100644
index 000000000000..27e7212f89dc
--- /dev/null
+++ b/jenkins/scripts/pulse_in_pipeline_scanning/utils/slack.py
@@ -0,0 +1,24 @@
+import os
+from datetime import datetime, timezone
+from urllib.parse import quote
+
+import requests
+
+
+def post_slack_msg(build_number, branch, risk_detail):
+    SLACK_WEBHOOK_URL = os.environ.get("TRTLLM_PLC_WEBHOOK")
+    if not SLACK_WEBHOOK_URL:
+        raise EnvironmentError("Error: Environment variable 'TRTLLM_PLC_WEBHOOK' is not set!")
+    starttime = datetime.now(timezone.utc).replace(hour=0, minute=0, second=0, microsecond=0)
+    base = (
+        "https://gpuwa.nvidia.com/kibana/s/tensorrt/app/dashboards"
+        "#/view/f90d586c-553a-468e-b064-48e846e983a2"
+    )
+    start_iso = starttime.replace(tzinfo=None).isoformat()
+    g = f"(filters:!(),refreshInterval:(pause:!t,value:60000),time:(from:'{start_iso}Z',to:now))"
+    a = f"(query:(language:kuery,query:'s_build_number:{build_number} and s_branch:\"{branch}\"'))"
+    dashboard_link = f"{base}?_g={quote(g)}&_a={quote(a)}"
+    dependencyReport = f"New risk found from nightly scanning ({branch} branch)\n{risk_detail}"
+    slack_payload = {"report": dependencyReport, "dashboardUrl": dashboard_link}
+    slack_resp = requests.post(SLACK_WEBHOOK_URL, json=slack_payload, timeout=60)
+    slack_resp.raise_for_status()
diff --git a/jenkins/scripts/submit_vulnerability_report.py b/jenkins/scripts/submit_vulnerability_report.py
deleted file mode 100644
index 1b0695580176..000000000000
--- a/jenkins/scripts/submit_vulnerability_report.py
+++ /dev/null
@@ -1,283 +0,0 @@
-import argparse
-import json
-import os
-from datetime import datetime, timezone
-from pathlib import Path
-from urllib.parse import quote
-
-import requests
-from elasticsearch import Elasticsearch, RequestsHttpConnection
-
-# Define config
-ES_POST_URL = os.environ.get("TRTLLM_ES_POST_URL")
-ES_QUERY_URL = os.environ.get("TRTLLM_ES_QUERY_URL")
-ES_INDEX_BASE = os.environ.get("TRTLLM_ES_INDEX_BASE") or ""
-TIMEOUT = 1000
-DOC_TYPE = "_doc"
-SIZE = 10000
-
-# Slack configuration
-# Required: TRTLLM_PLC_WEBHOOK      — Slack incoming webhook URL
-# Required: TRTLLM_KIBANA_DASHBOARD — Kibana dashboard URL for this report
-SLACK_WEBHOOK_URL = os.environ.get("TRTLLM_PLC_WEBHOOK")
-KIBANA_DASHBOARD_URL = os.environ.get("TRTLLM_KIBANA_DASHBOARD")
-
-# this json file will be generated from pulse in pipeline scanning
-SOURCE_CODE_VULNERABILITY = "./nspect_scan_report.json"
-SOURCE_CODE_SBOM = "./sbom_toupload.json"
-
-GPL_LICENSE_PREFIXES = ("GPL", "LGPL", "GCC GPL")
-
-parser = argparse.ArgumentParser()
-parser.add_argument("--build-url", required=True, help="Jenkins build URL")
-parser.add_argument("--build-number", required=True, help="Jenkins build number")
-parser.add_argument("--branch", required=True, help="Branch name that passed to the pipeline")
-args = parser.parse_args()
-
-NEWLY_REPORTED_DEPENDENCIES = {}
-
-if not ES_POST_URL:
-    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_POST_URL' is not set!")
-if not ES_QUERY_URL:
-    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_QUERY_URL' is not set!")
-if not ES_INDEX_BASE:
-    raise EnvironmentError("Error: Environment variable 'TRTLLM_ES_INDEX_BASE' is not set!")
-if not SLACK_WEBHOOK_URL:
-    raise EnvironmentError("Error: Environment variable 'TRTLLM_PLC_WEBHOOK' is not set!")
-
-ES_CLIENT = Elasticsearch(
-    timeout=TIMEOUT, hosts=ES_QUERY_URL, connection_class=RequestsHttpConnection
-)
-
-NOW = datetime.now(timezone.utc)
-SEVERITY_RANK = {"Critical": 4, "High": 3, "Medium": 2, "Low": 1}
-ES_HEADERS = {"Content-Type": "application/json"}
-
-
-def safe(value, default=None):
-    return value if value else default
-
-
-def es_post(url, documents, headers):
-    """POST a list of documents to an Elasticsearch index and return (indexed, errors)."""
-    if not documents:
-        return 0, False
-    resp = requests.post(
-        url.rstrip("/"),
-        data=json.dumps(documents),
-        headers=headers,
-        timeout=60,
-    )
-    resp.raise_for_status()
-    result = resp.json()
-    indexed = sum(
-        1
-        for item in result.get("items", [])
-        if item.get("index", {}).get("result") in ("created", "updated")
-    )
-    errors = result.get("errors", False)
-    if errors:
-        failed = [
-            item["index"] for item in result.get("items", []) if item.get("index", {}).get("error")
-        ]
-        print(f"Indexing errors ({len(failed)}):")
-        for f in failed:
-            print(f"  {f.get('_id')}: {f.get('error', {}).get('reason')}")
-    return indexed, errors
-
-
-def get_last_scan_results(report_type: str):
-    data = ES_CLIENT.search(
-        index=ES_INDEX_BASE + "-*",
-        body={
-            "size": 0,  # only the latest
-            "query": {
-                "bool": {
-                    "filter": [
-                        {"term": {"s_type": report_type}},
-                        {"term": {"s_branch": args.branch}},
-                    ]
-                }
-            },
-            "aggs": {"latest_ts": {"max": {"field": "ts_created"}}},
-        },
-    )
-    if "aggregations" not in data or not data["aggregations"]["latest_ts"]["value"]:
-        return {}
-    latest_ts = data["aggregations"]["latest_ts"]["value"]
-    scroll_size = 1000
-    docs = []
-
-    resp = ES_CLIENT.search(
-        index=ES_INDEX_BASE + "-*",
-        body={
-            "query": {
-                "bool": {
-                    "filter": [
-                        {"term": {"s_type": report_type}},
-                        {"term": {"s_branch": args.branch}},
-                        {"term": {"ts_created": int(latest_ts)}},
-                    ]
-                }
-            },
-        },
-        size=scroll_size,
-        scroll="2m",
-    )
-
-    scroll_id = resp["_scroll_id"]
-    hits = resp["hits"]["hits"]
-    docs.extend(hits)
-
-    while len(hits) > 0:
-        resp = ES_CLIENT.scroll(scroll_id=scroll_id, scroll="2m")
-        scroll_id = resp["_scroll_id"]
-        hits = resp["hits"]["hits"]
-        docs.extend(hits)
-
-    detected_dependencies = {}
-    for doc in docs:
-        package_name = doc["_source"]["s_package_name"]
-        if package_name not in detected_dependencies:
-            detected_dependencies[package_name] = 1
-        else:
-            detected_dependencies[package_name] += 1
-    return detected_dependencies
-
-
-def process_vulnerability(input_file: str):
-    # Read scan report
-    vulnerabilities = json.loads(Path(input_file).read_text())
-    map_dependencies_last_report = get_last_scan_results("source_code_vulnerability")
-
-    bulk_documents = []
-
-    for v in vulnerabilities:
-        sev = v.get("Severity", "Low")
-        if SEVERITY_RANK.get(sev, 0) <= 2:
-            continue
-
-        doc = {
-            "ts_created": int(NOW.timestamp() * 1000),
-            "s_type": "source_code_vulnerability",
-            "s_run_date": NOW.strftime("%Y-%m-%d"),
-            "s_build_url": args.build_url,
-            "s_build_number": args.build_number,
-            "s_branch": args.branch,
-            "s_severity": safe(v.get("Severity")),
-            "s_package_name": safe(v.get("Package Name")),
-            "s_package_version": safe(v.get("Package Version")),
-            "s_cve": safe(v.get("Related Vuln")),
-            "s_bdsa": safe(v.get("CVE ID")),
-            "d_score": safe(v.get("Score")),
-            "s_status": safe(v.get("Status")),
-            "s_published_date": safe(v.get("Vulnerability Published Date")),
-            "s_upgrade_short_term": safe(v.get("Upgrade-Guidance", {}).get("Short-Term")),
-            "s_upgrade_long_term": safe(v.get("Upgrade-Guidance", {}).get("Long-Term")),
-        }
-
-        # Elasticsearch bulk API: action metadata line + document line
-        bulk_documents.append(doc)
-
-    vulnerability_count = len(bulk_documents)
-    if vulnerability_count:
-        _, errors = es_post(ES_POST_URL, bulk_documents, ES_HEADERS)
-        if errors:
-            raise RuntimeError(
-                "Elasticsearch bulk indexing reported errors for vulnerability report."
-            )
-    else:
-        print("No High/Critical vulnerabilities found.")
-    count_new_vulnerability = 0
-    for doc in bulk_documents:
-        dependency_name = doc["s_package_name"]
-        if dependency_name not in map_dependencies_last_report:
-            count_new_vulnerability += 1
-    NEWLY_REPORTED_DEPENDENCIES["source_code_vulnerability"] = count_new_vulnerability
-
-
-def process_sbom(input_file: str):
-    sbom_documents = []
-    sbom_path = Path(input_file)
-    map_dependencies_last_report = get_last_scan_results("source_code_license")
-    if sbom_path.exists():
-        sbom_data = json.loads(sbom_path.read_text())
-        for component in sbom_data.get("components", []):
-            license_ids = []
-            for lic_entry in component.get("licenses", []):
-                lic = lic_entry.get("license", {})
-                license_ids.append(lic.get("id") or lic.get("name") or "")
-            gpl_licenses = [lid for lid in license_ids if lid.startswith(GPL_LICENSE_PREFIXES)]
-            if not gpl_licenses:
-                continue
-            purl = component.get("purl", "")
-            supplier = component.get("supplier", {}).get("name", "") or ""
-            sbom_documents.append(
-                {
-                    "ts_created": int(NOW.timestamp() * 1000),
-                    "s_type": "source_code_license",
-                    "s_run_date": NOW.strftime("%Y-%m-%d"),
-                    "s_build_url": args.build_url,
-                    "s_build_number": args.build_number,
-                    "s_branch": args.branch,
-                    "s_package_name": component.get("name"),
-                    "s_package_version": component.get("version"),
-                    "s_purl": purl,
-                    "s_supplier": supplier,
-                    "s_license_ids": ",".join(gpl_licenses),
-                    "s_bom_ref": component.get("bom-ref"),
-                    "s_component_type": component.get("type"),
-                }
-            )
-        _, sbom_errors = es_post(ES_POST_URL, sbom_documents, ES_HEADERS)
-        if sbom_errors:
-            raise RuntimeError(
-                "Elasticsearch bulk indexing reported errors for SBOM license report."
-            )
-    else:
-        print(f"SBOM file not found, skipping GPL/LGPL license reporting: {input_file}")
-    count_new_vulnerability = 0
-    for doc in sbom_documents:
-        dependency_name = doc["s_package_name"]
-        if dependency_name not in map_dependencies_last_report:
-            count_new_vulnerability += 1
-    NEWLY_REPORTED_DEPENDENCIES["source_code_license"] = count_new_vulnerability
-
-
-def post_slack_msg():
-    starttime = datetime.now(timezone.utc).replace(hour=0, minute=0, second=0, microsecond=0)
-    base = (
-        "https://gpuwa.nvidia.com/kibana/s/tensorrt/app/dashboards"
-        "#/view/f90d586c-553a-468e-b064-48e846e983a2"
-    )
-    start_iso = starttime.replace(tzinfo=None).isoformat()
-    g = f"(filters:!(),refreshInterval:(pause:!t,value:60000),time:(from:'{start_iso}Z',to:now))"
-    a = (
-        f"(query:(language:kuery,query:'s_build_number:{args.build_number}"
-        f' and s_branch:"{args.branch}"\'))'
-    )
-    dashboard_link = f"{base}?_g={quote(g)}&_a={quote(a)}"
-    hasNewDependencyReported = False
-    dependencyReport = f"New TRTLLM dependency found from nightly scanning ({args.branch} branch)\n"
-    for key in NEWLY_REPORTED_DEPENDENCIES:
-        count_reported = NEWLY_REPORTED_DEPENDENCIES[key]
-        dependencyReport += "\n- "
-        if count_reported:
-            hasNewDependencyReported = True
-        else:
-            continue
-        match key:
-            case "source_code_vulnerability":
-                dependencyReport += f"{count_reported} new source code vulnerability reported"
-            case "source_code_license":
-                dependencyReport += f"{count_reported} new source code GPL license reported"
-    if not hasNewDependencyReported:
-        return
-    slack_payload = {"report": dependencyReport, "dashboardUrl": dashboard_link}
-    slack_resp = requests.post(SLACK_WEBHOOK_URL, json=slack_payload, timeout=60)
-    slack_resp.raise_for_status()
-
-
-process_vulnerability(SOURCE_CODE_VULNERABILITY)
-process_sbom(SOURCE_CODE_SBOM)
-post_slack_msg()
diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock
index c9f9fc95e416..27aacc378c66 100644
--- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock
+++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock
@@ -934,103 +934,103 @@ files = [
 
 [[package]]
 name = "pillow"
-version = "12.1.1"
+version = "12.2.0"
 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 [package.extras]
diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock
index c3851e2b922f..c979f138db6d 100644
--- a/security_scanning/examples/models/contrib/mmdit/poetry.lock
+++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock
@@ -606,103 +606,103 @@ files = [
 
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 [package.extras]
diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock
index 1a46670e13fb..aab27aed9504 100644
--- a/security_scanning/examples/models/core/mllama/poetry.lock
+++ b/security_scanning/examples/models/core/mllama/poetry.lock
@@ -978,103 +978,103 @@ files = [
 
 [[package]]
 name = "pillow"
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 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
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 ]
 
 [package.extras]
diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock
index 9e4d4bd2135e..86090abbee0c 100644
--- a/security_scanning/examples/models/core/qwen/poetry.lock
+++ b/security_scanning/examples/models/core/qwen/poetry.lock
@@ -601,14 +601,14 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.135.2"
+version = "0.135.3"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock
index 9ecdc54a415a..795ac99acc67 100644
--- a/security_scanning/examples/models/core/qwenvl/poetry.lock
+++ b/security_scanning/examples/models/core/qwenvl/poetry.lock
@@ -2463,103 +2463,103 @@ xml = ["lxml (>=5.3.0)"]
 
 [[package]]
 name = "pillow"
-version = "12.1.1"
+version = "12.2.0"
 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 [package.extras]
diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock
index 4322eb0e6013..1268c115b725 100644
--- a/security_scanning/examples/models/core/whisper/poetry.lock
+++ b/security_scanning/examples/models/core/whisper/poetry.lock
@@ -1196,33 +1196,37 @@ tests = ["matplotlib (>=3.5.0)", "packaging (>=20.0)", "pytest", "pytest-cov", "
 
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 ]
 
 [[package]]
@@ -1693,37 +1697,41 @@ test-extras = ["pytest-mpl", "pytest-randomly"]
 
 [[package]]
 name = "numba"
-version = "0.64.0"
+version = "0.65.0"
 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "numba-0.65.0.tar.gz", hash = "sha256:edad0d9f6682e93624c00125a471ae4df186175d71fd604c983c377cdc03e68b"},
 ]
 
 [package.dependencies]
-llvmlite = "==0.46.*"
+llvmlite = "==0.47.*"
 numpy = ">=1.22,<2.5"
 
 [[package]]
diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json
index d97957f8b0df..848e3a92ab62 100644
--- a/security_scanning/metadata.json
+++ b/security_scanning/metadata.json
@@ -1,4 +1,4 @@
 {
-  "commit_hash": "7a450b413bbc875a2b4f6a60631a6683b8011308",
-  "timestamp": "2026-04-01T02:46:57Z"
+  "commit_hash": "6d0a3ace0a251fe3a8854aed1fc75ecdcae1e2c1",
+  "timestamp": "2026-04-01T20:17:52Z"
 }
diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock
index bb6248ef6360..f5031d61b1b0 100644
--- a/security_scanning/poetry.lock
+++ b/security_scanning/poetry.lock
@@ -4205,103 +4205,103 @@ test = ["black", "black", "datasets", "diffusers", "hf-doc-builder", "hf-doc-bui
 
 [[package]]
 name = "pillow"
-version = "12.1.1"
+version = "12.2.0"
 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
@@ -6949,4 +6949,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.13"
-content-hash = "33397afd9b4077454952dfad53a96dbefc3d3509325cf1512e23dc517690e79b"
+content-hash = "f315f083ea9870f1dcba3325e218c5fd9ffa62aa235ca368079e8ac9fa414f3c"
diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml
index d3d383212601..895e49dfd5dc 100644
--- a/security_scanning/pyproject.toml
+++ b/security_scanning/pyproject.toml
@@ -38,7 +38,7 @@ dependencies = [
     "pydantic (>=2.9.1)",
     "pydantic-settings[yaml] (>=2.13.1,<3.0.0)",
     "omegaconf (>=2.3.0,<3.0.0)",
-    "pillow (>=12.1.1,<13.0.0)",
+    "pillow (>=12.2.0,<13.0.0)",
     "optimum (>=2.1.0,<3.0.0)",
     "datasets (==3.1.0)",
     "evaluate (>=0.4.6,<0.5.0)",
diff --git a/security_scanning/tests/integration/defs/perf/poetry.lock b/security_scanning/tests/integration/defs/perf/poetry.lock
index 284a5be8ac46..8a62b8971eee 100644
--- a/security_scanning/tests/integration/defs/perf/poetry.lock
+++ b/security_scanning/tests/integration/defs/perf/poetry.lock
@@ -432,103 +432,103 @@ files = [
 
 [[package]]
 name = "pillow"
-version = "12.1.1"
+version = "12.2.0"
 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 ]
 
 [package.extras]
diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py
index 118d60bbe701..6946294259fe 100644
--- a/tensorrt_llm/_torch/modules/attention.py
+++ b/tensorrt_llm/_torch/modules/attention.py
@@ -10,6 +10,7 @@
 import tensorrt_llm.quantization.utils.fp8_utils as fp8_utils
 from tensorrt_llm._utils import (get_sm_version, is_sm_100f, nvtx_range,
                                  nvtx_range_debug)
+from tensorrt_llm.llmapi.llm_args import SkipSoftmaxAttentionConfig
 from tensorrt_llm.logger import logger
 from tensorrt_llm.mapping import Mapping
 
@@ -525,9 +526,26 @@ def __init__(
 
         self.quant_config = config.get_quant_config()
         self.attn_backend = config.attn_backend
-        attn_cls = get_attention_backend(
-            self.attn_backend,
-            sparse_attn_config=config.sparse_attention_config)
+
+        # Resolve target_sparsity → threshold_scale_factor if needed
+        sparse_attn_cfg = config.sparse_attention_config
+        if (isinstance(sparse_attn_cfg, SkipSoftmaxAttentionConfig)
+                and sparse_attn_cfg.target_sparsity is not None):
+            hf_sparse = getattr(config.pretrained_config,
+                                'sparse_attention_config', None)
+            if not isinstance(hf_sparse, dict):
+                raise ValueError(
+                    "sparse_attention_config with target_sparsity requires formula "
+                    "coefficients in the model's config.json "
+                    "(sparse_attention_config.threshold_scale_factor.{prefill,decode}.{a,b}), "
+                    "but sparse_attention_config was not found or was not dict type in config.json."
+                )
+            formula = hf_sparse.get('threshold_scale_factor', {})
+            sparse_attn_cfg = sparse_attn_cfg.resolve_for_target_sparsity(
+                formula)
+
+        attn_cls = get_attention_backend(self.attn_backend,
+                                         sparse_attn_config=sparse_attn_cfg)
 
         # These two modules are mutually exclusive - either splitted_qkv_lora or fused_qkv_lora will be used,
         # but never both at the same time. splitted_qkv_lora handles Q,K,V separately while fused_qkv_lora
@@ -593,7 +611,7 @@ def __init__(
             skip_create_weights_in_init=config.skip_create_weights_in_init,
             q_scaling=self.q_scaling,
             attention_chunk_size=self.attention_chunk_size,
-            sparse_attention_config=config.sparse_attention_config,
+            sparse_attention_config=sparse_attn_cfg,
         )
 
         self.support_fused_qkv = self.attn.support_fused_qkv()
diff --git a/tensorrt_llm/_torch/pyexecutor/_util.py b/tensorrt_llm/_torch/pyexecutor/_util.py
index 112b7437df0f..4142cca18f62 100644
--- a/tensorrt_llm/_torch/pyexecutor/_util.py
+++ b/tensorrt_llm/_torch/pyexecutor/_util.py
@@ -1430,9 +1430,10 @@ def instantiate_sampler(
     if mm_encoder_only:
         # NOTE: handle model outputs specially for mm encoder executor/engine
         return EarlyStopWithMMResult()
-    if llm_args.sampler_type == SamplerType.TRTLLMSampler or (
-            llm_args.sampler_type == SamplerType.auto
-            and decoding_mode.isBeamSearch()):
+    if llm_args.sampler_type == SamplerType.TRTLLMSampler:
+        logger.warning(
+            "TRTLLMSampler is deprecated and will be removed in release 1.4. Please use TorchSampler instead."
+        )
         logger.debug(f"DecodingMode: {decoding_mode.name}")
         return TRTLLMSampler(engine.model,
                              engine.dtype,
diff --git a/tensorrt_llm/llmapi/llm_args.py b/tensorrt_llm/llmapi/llm_args.py
index 4180f91b4a85..ca119c41f41e 100644
--- a/tensorrt_llm/llmapi/llm_args.py
+++ b/tensorrt_llm/llmapi/llm_args.py
@@ -357,6 +357,11 @@ class SkipSoftmaxAttentionConfig(BaseSparseAttentionConfig):
     threshold_scale_factor: Optional[Union[float, Dict[str, float]]] = Field(
         default=None,
         description="The threshold scale factor for skip softmax attention.")
+    target_sparsity: Optional[Union[float, Dict[str, float]]] = Field(
+        default=None,
+        description="Target sparsity for prefill and/or decode phases. "
+        "Requires formula coefficients in the model's config.json. "
+        "Ignored if threshold_scale_factor is also set.")
 
     def supports_backend(self, backend: str) -> bool:
         return backend == "pytorch"
@@ -373,6 +378,56 @@ def threshold_scale_factor_decode(self) -> Optional[float]:
             return self.threshold_scale_factor.get('decode', None)
         return self.threshold_scale_factor
 
+    @property
+    def target_sparsity_prefill(self) -> Optional[float]:
+        if isinstance(self.target_sparsity, dict):
+            return self.target_sparsity.get('prefill', None)
+        return self.target_sparsity
+
+    @property
+    def target_sparsity_decode(self) -> Optional[float]:
+        if isinstance(self.target_sparsity, dict):
+            return self.target_sparsity.get('decode', None)
+        return self.target_sparsity
+
+    def resolve_for_target_sparsity(
+            self, formula: dict) -> 'SkipSoftmaxAttentionConfig':
+        """
+        Given formula coefficients from HF config.json (dict with 'prefill' and
+        'decode' keys, each containing 'a' and 'b'), compute threshold_scale_factor
+        and return a new SkipSoftmaxAttentionConfig with it set.
+
+        formula example:
+          {"prefill": {"a": 7e-5, "b": 7.929109},
+           "decode":  {"a": 7e-5, "b": 16.9025}}
+
+        If threshold_scale_factor is already set, it takes precedence and
+        this method returns self unchanged.
+        """
+        if self.threshold_scale_factor is not None:
+            return self
+
+        import math
+
+        def _compute(phase: str, sparsity: Optional[float]) -> Optional[float]:
+            if sparsity is None:
+                return None
+            coeffs = formula.get(phase)
+            if not coeffs or 'a' not in coeffs or 'b' not in coeffs:
+                raise ValueError(
+                    f"SkipSoftmaxAttentionConfig: config.json is missing formula "
+                    f"coefficients for phase '{phase}' needed to compute "
+                    f"threshold_scale_factor from target_sparsity.")
+            return coeffs['a'] * math.exp(coeffs['b'] * sparsity)
+
+        return SkipSoftmaxAttentionConfig(
+            algorithm=self.algorithm,
+            target_sparsity=self.target_sparsity,
+            threshold_scale_factor={
+                'prefill': _compute('prefill', self.target_sparsity_prefill),
+                'decode': _compute('decode', self.target_sparsity_decode),
+            })
+
 
 class MoeLoadBalancerConfig(StrictBaseModel):
     """
@@ -3282,8 +3337,12 @@ class TorchLlmArgs(BaseLlmArgs):
     sampler_type: Union[str, SamplerType] = Field(
         default=SamplerType.auto,
         description=
-        "The type of sampler to use. Options are TRTLLMSampler, TorchSampler or auto. Defaults to auto, which will use TorchSampler unless BeamSearch is requested.",
-        status="beta")
+        "The type of sampler to use. Options are TRTLLMSampler, TorchSampler or auto. Defaults to auto, which will use TorchSampler. "
+        "TRTLLMSampler is deprecated and will be removed in release 1.4.",
+        status="deprecated",
+        deprecated=
+        "This parameter will be removed in release 1.4. TorchSampler will be the default sampler."
+    )
 
     sampler_force_async_worker: bool = Field(
         default=False,
diff --git a/tests/unittest/api_stability/references/llm.yaml b/tests/unittest/api_stability/references/llm.yaml
index 8b2971b5ac2c..993f431cb1a9 100644
--- a/tests/unittest/api_stability/references/llm.yaml
+++ b/tests/unittest/api_stability/references/llm.yaml
@@ -122,7 +122,7 @@ methods:
       sampler_type:
         annotation: Union[str, tensorrt_llm.llmapi.llm_args.SamplerType]
         default: auto
-        status: beta
+        status: deprecated
       sampler_force_async_worker:
         annotation: bool
         default: False
diff --git a/tests/unittest/llmapi/test_llm_args.py b/tests/unittest/llmapi/test_llm_args.py
index 8dcc2fe35a2b..999edbcdcde7 100644
--- a/tests/unittest/llmapi/test_llm_args.py
+++ b/tests/unittest/llmapi/test_llm_args.py
@@ -1536,3 +1536,78 @@ def test_no_custom_init_methods(self):
                 + "\n".join(violations) +
                 "\n\nThese should be replaced with alternatives like validators, model_post_init, or classmethods. See this test's docstring for more details."
             )
+
+
+class TestSkipSoftmaxAttentionConfig:
+
+    def test_resolve_computes_thresholds(self):
+        import math
+
+        from tensorrt_llm.llmapi.llm_args import SkipSoftmaxAttentionConfig
+
+        formula = {
+            'prefill': {
+                'a': 7e-5,
+                'b': 7.929109
+            },
+            'decode': {
+                'a': 7e-5,
+                'b': 16.9025
+            },
+        }
+        cfg = SkipSoftmaxAttentionConfig(target_sparsity={
+            'prefill': 0.5,
+            'decode': 0.5
+        })
+        resolved = cfg.resolve_for_target_sparsity(formula)
+
+        expected_prefill = 7e-5 * math.exp(7.929109 * 0.5)
+        expected_decode = 7e-5 * math.exp(16.9025 * 0.5)
+        assert resolved.threshold_scale_factor_prefill == pytest.approx(
+            expected_prefill)
+        assert resolved.threshold_scale_factor_decode == pytest.approx(
+            expected_decode)
+
+    def test_resolve_scalar_target_sparsity(self):
+        import math
+
+        from tensorrt_llm.llmapi.llm_args import SkipSoftmaxAttentionConfig
+
+        formula = {
+            'prefill': {
+                'a': 7e-5,
+                'b': 7.929109
+            },
+            'decode': {
+                'a': 7e-5,
+                'b': 16.9025
+            },
+        }
+        cfg = SkipSoftmaxAttentionConfig(target_sparsity=0.3)
+        resolved = cfg.resolve_for_target_sparsity(formula)
+
+        assert resolved.threshold_scale_factor_prefill == pytest.approx(
+            7e-5 * math.exp(7.929109 * 0.3))
+        assert resolved.threshold_scale_factor_decode == pytest.approx(
+            7e-5 * math.exp(16.9025 * 0.3))
+
+    def test_resolve_missing_coefficients_raises(self):
+        from tensorrt_llm.llmapi.llm_args import SkipSoftmaxAttentionConfig
+
+        cfg = SkipSoftmaxAttentionConfig(target_sparsity={
+            'prefill': 0.5,
+            'decode': 0.5
+        })
+        with pytest.raises(ValueError, match="missing formula coefficients"):
+            cfg.resolve_for_target_sparsity({})
+
+    def test_threshold_scale_factor_unaffected(self):
+        from tensorrt_llm.llmapi.llm_args import SkipSoftmaxAttentionConfig
+
+        cfg = SkipSoftmaxAttentionConfig(threshold_scale_factor={
+            'prefill': 0.001,
+            'decode': 0.002
+        })
+        assert cfg.target_sparsity is None
+        assert cfg.threshold_scale_factor_prefill == pytest.approx(0.001)
+        assert cfg.threshold_scale_factor_decode == pytest.approx(0.002)