Policy Compliance Check

Encodes organizational rules using declarative languages like Rego (Open Policy Agent) or Cedar, decoupling policy logic from application code. This allows non-developer stakeholders to author, version, and audit rules independently.

• Declarative rules: Define what is permitted, not how to enforce
• Version-controlled policies: Git-based audit trails for every rule change
• Hot-reloading: Update policies without restarting agent services

Evaluates proposed actions against rich contextual attributes beyond simple role-based access. The engine ingests real-time agent state, resource metadata, and historical interaction patterns to make nuanced allow/deny decisions.

• Attribute-based access control (ABAC): Combines user, resource, and environmental attributes
• Temporal constraints: Enforce time-of-day or maintenance window restrictions
• Geofencing: Restrict data access based on jurisdictional boundaries

Translates high-level regulatory frameworks like GDPR, SOC 2, and HIPAA into executable policy bundles. Maintains a living mapping between legal requirements and technical controls, generating compliance artifacts automatically.

• Control-to-code traceability: Every policy rule links to a specific regulatory paragraph
• Automated evidence generation: Produce audit logs proving policy enforcement
• Cross-jurisdiction conflict resolution: Flag contradictory requirements before deployment

Sits as a synchronous gate in the agent's tool-calling pipeline, evaluating every proposed API call, database write, or external communication before the action leaves the agent's runtime. This prevents irreversible damage from hallucinated or adversarial tool invocations.

• Zero-trust enforcement: No action executes without explicit policy approval
• Sub-millisecond decisions: Optimized for high-throughput agent workflows
• Fail-closed defaults: Unknown actions are denied by default

Identifies contradictory or overlapping policies before they create enforcement gaps or deadlocks. Uses SAT solver techniques to detect logical inconsistencies across thousands of interdependent rules.

• Policy simulation: Dry-run proposed changes against historical agent traces
• Coverage analysis: Identify actions with no applicable policy
• Deadlock prevention: Detect circular deny rules that block all execution paths

When a policy check fails, the system returns a structured justification rather than a generic error. This enables the agent to self-correct, escalate to a human, or log the violation with full forensic context for compliance auditors.

• Machine-readable reasons: Agents can parse denial codes and adapt behavior
• Human-readable explanations: Clear violation descriptions for audit reports
• Remediation hints: Suggest corrective actions to bring requests into compliance

A programmatic policy or mechanism that constrains an AI agent's behavior to prevent harmful, off-policy, or unsafe actions and outputs. Guardrails operate at multiple layers:

• Input guardrails filter prompts before they reach the model
• Output guardrails validate generated content before execution
• Tool-use guardrails restrict which APIs an agent can call

Policy compliance checks are a specific class of output guardrail focused on regulatory and business rule enforcement.

A control point in an agentic workflow that requires explicit validation or approval before a high-stakes tool call or state-changing operation is executed. Action gates are the enforcement mechanism for policy compliance checks:

• Synchronous gates block execution until policy evaluation completes
• Asynchronous gates queue actions for human review when confidence is low
• Conditional gates apply different policies based on action risk classification

Without an action gate, a policy compliance check is purely advisory with no enforcement power.

A security principle that restricts an agent's access permissions and tool capabilities to the absolute minimum necessary to perform its designated task. This principle directly complements policy compliance checks:

• Role-based scoping limits which policies even apply to a given agent
• Temporal scoping grants elevated permissions only for the duration of a specific task
• Resource-level scoping restricts which data objects an agent can access

Combined with policy checks, least privilege execution minimizes the blast radius of both errors and adversarial attacks.

A resilience pattern that automatically halts an agent's operation or tool access when a predefined failure threshold or anomaly rate is exceeded. Circuit breakers protect against cascading failures when policy compliance checks themselves fail:

• Open state: all actions blocked when policy engine is unreachable
• Half-open state: limited actions permitted while testing policy engine recovery
• Closed state: normal operation with full policy enforcement

This pattern ensures that a policy engine outage doesn't create a security gap where unchecked actions proceed.

An interaction pattern where an agent's critical decision or action is paused and routed to a human operator for manual approval. HITL serves as the escalation path when policy compliance checks return ambiguous results:

• Hard HITL: action blocked until explicit human approval
• Soft HITL: action proceeds but logs for asynchronous human review
• Selective HITL: triggered only when policy confidence falls below threshold

Policy engines like OPA can be configured to automatically escalate borderline cases to human reviewers.

An alignment method developed by Anthropic that trains models to self-critique and revise their outputs based on a predefined set of principles, or a 'constitution'. CAI represents an alternative approach to policy enforcement:

• Internalized policies: the model learns to reject non-compliant actions during training
• Self-critique loops: the model evaluates its own outputs against constitutional principles
• Red-teaming integration: adversarial prompts used to strengthen policy adherence

Unlike external policy engines, CAI embeds compliance directly into model weights rather than as a post-hoc check.