The OPEN-CONSTRAINT-ENFORCEMENT-ENGINE is a powerful tool designed to assess actions against formally defined invariants prior to execution. This engine facilitates robust policy management and ensures system integrity by validating actions against predefined rules.

Core Responsibilities

The engine encompasses the following core functionalities:

• Policy Ingestion: Efficiently loads and manages YAML-based policy definitions.
• Static Invariant Validation: Compiles and validates policy conditions to ensure adherence to rules.
• Runtime Evaluation: Evaluates actions in real-time against policy invariants to maintain compliance.
• Deterministic Simulation: Executes evaluations without altering the canonical state, ensuring reliability and repeatability.
• Audit Logging: Records all evaluations, enabling compliance checking and support for action replay.

Architecture Overview

The engine is structured around five primary components:

1. Policy Registry: Manages and loads YAML policy definitions seamlessly.
2. Invariant Compiler: Responsible for parsing and validating the expressions of policy conditions.
3. Deterministic Simulation Engine: Executes actions in a controlled, immutable context.
4. Runtime Gate: Oversees the workflow of policy evaluations.
5. Audit + Replay Layer: Maintains detailed logs of evaluations for audit purposes and replay capabilities.

Usage Example

Below is a demonstration of how to evaluate an action against a policy using the engine's API:

Evaluate an Action

POST /evaluate endpoint allows for action evaluation:

{
  "actor_id": "user123",
  "action_type": "mutation",
  "payload": {
    "actor": {"max_role": 10},
    "request": {"role": 5, "value": 500}
  },
  "policy_id": "mutation_policy_v1"
}

Expected Response:

{
  "allowed": true,
  "violations": [],
  "simulation_hash": "abc123...",
  "latency_ms": 1.23,
  "evaluation_id": "mutation_policy_v1_user123_abc12345"
}

Policy Definition Example

Policies are defined in a clear YAML format, which is essential for the engine's operation. Below is an example:

policy_id: mutation_policy_v1
invariants:
  - id: no_privilege_escalation
    condition: request.role <= actor.max_role
  - id: state_bounds
    condition: request.value <= system.max_threshold

Deterministic and Immutable Evaluation

The engine ensures that policy evaluations are both deterministic and immutable, meaning the same input will always yield the same output, and the system state remains unchanged during evaluation. All evaluations are documented, allowing for comprehensive audits.

Security and Performance Features

The engine incorporates several important features to enhance security and performance:

• Rate Limiting: Configurable limits per endpoint prevent abuse.
• Non-root Runtime: The application operates with limited permissions for enhanced security.
• Concurrency: Designed to be thread-safe with a worker model to manage requests efficiently.
• Health Checks: Built-in checks to ensure the application is running smoothly and policies are loaded correctly.

The OPEN-CONSTRAINT-ENFORCEMENT-ENGINE is a critical solution for ensuring that actions remain within the boundaries of defined policies, thus safeguarding systems from unauthorized operations.