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Description
Summary
Dynamic Policy Bundles and Federated Machine Identity for Asynchronous Industrial Meshes
Driving User Story
As an Operations Director of an energy and materials company,
I want to deploy a network of autonomous agents and IoT devices that coordinate across multiple operational segments using decentralized identity and adaptive policy bundles,
With each agent dynamically updating its operational policy in response to real-time events or anomaly detection,
So that industrial operations remain resilient, auditable, and compliant even under disruption or changing regulatory and environmental conditions.
Context
- I have looked for similar use cases and feel this issue is a distinct use-case, rather than best encoded as a variant or "alternate path" to an existing one.
This use case describes how a network of autonomous agents, industrial machines, and IoT sensors can coordinate operations across segmented trust zones,
using asynchronous communication, federated identity, and dynamic policy bundles to maintain security, compliance, and resilience —
even when agents or devices appear and disappear dynamically due to network variability or operational lifecycle.
The architecture assumes no persistent user identity, but instead ephemeral agent and machine identities, guided by policy prompts that evolve at runtime.
Example Scenario
An energy and mining enterprise operates multiple extraction and processing sites across different regions.
Each site functions as an independent microsegment, with autonomous AI agents managing drilling units, transport fleets, and environmental sensors.
Agents interact asynchronously through a federated service mesh, sharing signed telemetry and operational events.
External partners — such as suppliers, maintenance contractors, or insurance providers — integrate their own agents via federated, zero-trust gateways.
Even when local connectivity fluctuates, operations continue safely through policy-guided autonomy and verifiable machine identity.
Related Use Cases
- [UC] Use case: Adaptive error handling in multi-step API workflows (Use case: Adaptive error handling in multi-step API workflows #3)
Terminology
| Term | Definition |
|---|---|
| Microsegment | Isolated operational domain (e.g., plant, rig, fleet zone) governed by local policy. |
| Asynchronous Coordination | Event-driven communication between agents without synchronous coupling or central orchestration. |
| Ephemeral Agent Identity | Temporary cryptographic identity bound to a runtime instance and verified through attestation or decentralized identifier (DID). |
| Dynamic Policy Bundle | A signed and versioned set of operational constraints, objectives, and behavioral rules that agents load and interpret at runtime. Unlike static configuration files, policy bundles can be updated or amended dynamically — either by human operators through approved interfaces, or autonomously by the system in response to anomaly detection, regulatory updates, or changing environmental conditions. |
| Policy Prompt | A semantic representation of the policy bundle — effectively a “prompt made of policy.” It acts as an operational context for agents, blending declarative rules (“what must or must not happen”) with procedural guidance (“how to adapt or react”). Policies therefore serve as both control and intent, providing agents with interpretive autonomy within bounded, explainable limits. |
| Federated Trust Domain | Independently governed operational domain participating in a decentralized trust framework where policies, attestations, and identities are shared or verified across boundaries. |
| Machine DID | Decentralized Identifier assigned to a device or sensor for verifiable machine identity and cryptographically signed telemetry. |
Actors
| Actor | Description |
|---|---|
| Operations Agent | Coordinates tasks and event routing across segments. |
| IoT Sensor or Machine | Emits telemetry signed with verifiable identity (e.g., DID or attestation key). |
| Policy Authority | Issues, validates, and updates policy bundles dynamically across segments. |
| Federation Gateway | Handles asynchronous, zero-trust communication across trust domains. |
| Compliance Agent | Observes adherence to operational and safety policies and logs compliance metrics. |
| Cybersecurity Agent | Validates attestations, detects rogue devices, and enforces segmentation boundaries. |
| External Partner Agent | Belongs to supplier or insurer; joins via federated identity and limited-scope credentials. |
Other Stakeholders
- Insurance Providers – analyze behavioral and reliability metrics from agent interactions.
- Regulators – require audit logs and safety proofs based on decentralized attestations.
- Suppliers / Contractors – integrate or manage devices through their own federated trust domains.
- Operations Management – oversees segment-level performance and compliance adherence.
Flows
0 - Preconditions
- Each operational zone is a microsegment with its own trust policies.
- Agents, machines, and IoT devices register with ephemeral, attestable identities (DIDs or equivalent).
- Communication across segments occurs asynchronously through message queues or federated gateways.
- Each domain maintains a dynamic policy authority that issues or amends policy bundles at runtime.
- Agents interpret policy updates as policy prompts, adjusting behavior automatically within compliance constraints.
1 - Trigger
A machine or sensor in one microsegment emits telemetry indicating a deviation or anomaly, initiating an event-driven workflow among agents.
2A - Happy Path
- The device signs and transmits the anomaly event using its verifiable machine identity.
- The local Maintenance Agent validates the signature and performs a controlled shutdown or isolation procedure.
- The Operations Agent updates global status asynchronously and alerts other dependent segments.
- The Compliance Agent verifies adherence to operational and safety policy bundles.
- The Policy Authority automatically issues a policy update (new policy prompt) to all agents in the affected segment — tightening operational constraints until the anomaly is resolved.
- The Federation Gateway securely relays anonymized event data to external insurers or partner domains.
- The Cybersecurity Agent ensures that all messages match registered attestations and updated mesh policy constraints.
- All policy changes and events are cryptographically signed and auditable.
Result:
The anomaly is contained locally, agents adapt their policies autonomously, and external partners receive verified data without breaching segmentation or trust boundaries.
2B - Alternative Paths
a. Unauthorized Device Attempt
A new device tries to join the mesh without valid attestation. The Cybersecurity Agent denies registration and triggers a policy enforcement update.
b. Operator Policy Adjustment
An operator injects a temporary policy override through a secure console. The Policy Authority verifies and redistributes it to all agents in the relevant domain.
c. Policy Update from Anomaly Detection
An autonomous detection module identifies systemic risk and updates the policy prompt in affected microsegments, limiting agent actions and notifying human oversight.
d. Federation Link Interruption
When cross-domain connectivity fails, the segment continues operating under its current policy bundle, logging deferred updates until federation resumes.
3A - Challenges and Key Risks
- Rogue Devices or Fake Attestations – unverified endpoints could compromise operations.
- Latency in Asynchronous Flows – delayed events might affect rapid response operations.
- Policy Drift or Version Conflict – dynamic policy updates across domains may desynchronize if federation is unstable.
- Privacy vs. Transparency – balancing audit visibility with proprietary or regulated data.
- Overreaction of Autonomous Policy Updates – excessive restriction of actions could halt operations unintentionally.
3B - Success Criteria
- Agents and devices authenticate via verifiable decentralized identities.
- Policy updates are distributed and applied consistently across microsegments.
- Federation gateways enforce asynchronous, policy-scoped trust boundaries.
- Operations remain resilient to network disruptions and partial disconnections.
- All critical events and policy changes are signed, auditable, and traceable.
- External auditors and insurers receive consistent, verifiable event and policy data.
3C - Acceptable Outcomes
- Temporary isolation or local shutdowns are acceptable if containment and safety are preserved.
- Offline segments resume operation once policy synchronization and attestation are restored.
- Minor telemetry or policy version gaps do not compromise compliance visibility.