Swiftward is a deterministic policy enforcement engine for AI safety, Trust & Safety, and financial risk — that runs on your infrastructure.
Write rules in YAML, deploy without restarts, test changes using shadow mode or A/B splits. Every decision is deterministic and fully traced. Self-hosted only.
- Unpredictable Decisions: Custom systems lack reproducibility
- Slow Policy Iteration: Code changes require deployments
- Weak Auditability: Incomplete decision trails
- Testing Difficulties: No safe way to validate against production traffic
Swiftward provides:
- Deterministic evaluation (same inputs = same verdict)
- Instant policy updates (no deploys)
- Complete audit trails
- Built-in A/B testing and shadow mode
Use Cases:
- UGC Moderation — toxicity, PII blocking, trust-based decisions
- AI Guardrails — prompt injection, restricted topics, session tracking
- SDLC Policy — secret scanning, review requirements, PR gates
- Fraud Detection — state-based rules, rate limiting, HITL escalation
Target Organizations:
- Need predictable outcomes with audit trails
- Require on-premises control
- Want fast iteration without code deployments
Event — Input to evaluation (user posted, AI generated, PR opened)
Entity — Subject being tracked (user, session). Has state: labels, counters, metadata.
Policy — YAML definition with signals, rules, and effects. Versioned and immutable when frozen.
Verdict — Outcome: approved, rejected, or flagged
Decision Trace — Complete audit record of every evaluation
- Deterministic, explainable decisions with audit trails
- On-premises deployment requirements
- Safe policy iteration (A/B testing, shadow mode)
- Fast time-to-value (days, not months)
Not intended to replace: Workflow orchestrators (Temporal), streaming processors (Flink), general BPM engines.
- How It Works — Architecture overview
- Comparisons — vs OPA, SaaS, build-it-yourself
- Examples — Try locally
- Contact us — Let's talk