Sentinel-Ops by YadriWorks - Runtime AI Governance Engine

Sentinel-Ops is the governance layer for AI-enabled applications in production. It intercepts every tool call, API request, and LLM interaction your application makes and enforces a declarative Safe Operating Envelope (SOE) policy - without modifying your application code.

The Problem: Organizations deploying autonomous AI agents, RAG pipelines, and LLM-powered services face a critical gap - these systems can access unauthorized data, execute destructive commands, or drift beyond their intended scope with no deterministic control plane in place. Security and compliance teams need enforceable guardrails, not just monitoring.

• Identity - Define what role the application can claim, what authority it has, and which environments it can operate in.
• Data Access - Control which files and paths the application can read and write using glob patterns. Deny access to credentials, PII, and production data.
• Tool Actions - Specify which commands, tools, and API calls the application can execute using glob and regex patterns. Block destructive operations like rm -rf, DROP TABLE, or unauthorized API calls.

A financial services team running 20 autonomous coding agents needs to ensure no agent can access production credentials, customer PII, or execute database mutations outside a sandbox. With Sentinel-Ops, a single .soe.json policy file enforces these boundaries deterministically across all agents - every violation is denied and logged with full audit context for compliance review.

1. Define your governance policy in a .soe.json file
2. Deploy Sentinel-Ops via CloudFormation (5 minutes)
3. Point your AI application through the SOE API or transparent sidecar proxy
4. Every tool call is evaluated: ALLOW, DENY, or ESCALATE

Deterministic Enforcement: 95% of decisions are made via regex/glob matching in under 1ms. No LLM in the critical path. Zero hallucination risk. Fail-closed - unknown actions are denied by default.

AI-Assisted Classification: For the 5% of ambiguous cases, Sentinel AI uses your LLM provider (Groq or Anthropic) to reason about intent. You provide the API key and control this entirely.

Cumulative Risk Scoring: Arbiter tracks risk across sessions. An application that makes 50 borderline calls gets progressively restricted - even if each individual call is allowed.

Cross-Application Anomaly Detection: Beacon monitors patterns across all governed applications. Detects coordinated attacks, unusual trajectories, and behavioral anomalies.

Immutable Audit Trail: Every decision is logged to an append-only event store with SHA-256 hash chain. Export compliance reports in OSCAL and STIX formats. Route events to Amazon EventBridge for your existing alerting stack.

Content Guardrails: Built-in PII detection (SSN, credit card, phone, email), prompt injection defense, and content safety scanning.

Real-Time Dashboard: Live view of allows, denies, risk budgets, and application activity.

Autonomous agents (Claude Code, LangGraph, CrewAI, AutoGen), multi-agent systems, RAG pipelines, chatbots, LLM-powered microservices, and any HTTP-based AI workload.

Two integration modes - zero code changes required:

• Sidecar proxy - transparent network-level interception
• REST API - direct /v1/evaluate calls from any framework

Your data never leaves your AWS account. Sentinel-Ops runs entirely within your infrastructure as an ECS Fargate service. The only data transmitted externally is aggregate usage counts to AWS Marketplace for billing. No telemetry, no phone-home, no data collection by YadriWorks Inc.

CloudFormation creates all required resources: ECS Cluster, Task Definition, Application Load Balancer, WAF, Security Groups, DynamoDB, S3, CloudWatch Logs, Secrets Manager, and IAM roles (least privilege). Multi-AZ high availability with auto-scaling included.

Review pricing dimensions on the Pricing tab, then deploy via CloudFormation in minutes. For a guided deployment walkthrough or to request a sample SOE policy tailored to your AI stack, contact the YadriWorks team. Visit https://yadriworks.ai/docs  for full documentation and policy examples.