Policy Engine Specification
Document ID: AGENT-007
File Path: docs/04-agent-framework/policy-engine.md
Version: 1.0.0
Status: Draft
Owner: AI Platform Team
Last Updated: 2026-06-26
1. Purpose
Section titled “1. Purpose”The Policy Engine is the centralized governance component of the Wovyr AI Platform responsible for enforcing security, compliance, operational, and business rules across every subsystem.
Every request executed by an Agent, Workflow, Tool, API, or Human Approval passes through the Policy Engine before execution.
The Policy Engine guarantees that all executions comply with:
- Platform security policies
- Organization policies
- Project policies
- Agent policies
- Tool permissions
- Regulatory compliance
- Tenant isolation
2. Objectives
Section titled “2. Objectives”The Policy Engine shall provide:
- Centralized policy evaluation
- RBAC
- ABAC
- Policy inheritance
- Runtime enforcement
- Policy versioning
- Multi-tenant isolation
- Compliance validation
- Secret protection
- Audit logging
- Risk scoring
3. Design Principles
Section titled “3. Design Principles”- Policies are declarative.
- Policies are immutable after publication.
- Every execution is evaluated.
- Deny overrides allow.
- Policies are versioned.
- Policy evaluation is deterministic.
- Policy evaluation is observable.
4. High-Level Architecture
Section titled “4. High-Level Architecture” User Request │ ▼ Agent Runtime │ ▼ Policy Engine │ ┌──────────────────┼──────────────────┐ ▼ ▼ ▼ RBAC Engine ABAC Engine Compliance Engine │ │ │ └──────────────────┼──────────────────┘ ▼ Decision Engine │ ▼ Allow / Deny / Conditional5. Scope
Section titled “5. Scope”The Policy Engine governs:
- Agent execution
- Workflow execution
- Tool invocation
- Memory access
- Secret access
- API calls
- File access
- Database access
- Network communication
- Human approvals
6. Policy Hierarchy
Section titled “6. Policy Hierarchy”Platform Policy
↓
Organization Policy
↓
Project Policy
↓
Workflow Policy
↓
Agent Policy
↓
Tool Policy
↓
Execution PolicyHigher-level policies override lower-level policies.
7. Policy Types
Section titled “7. Policy Types”| Policy | Purpose |
|---|---|
| Security | Authentication & authorization |
| Compliance | Regulatory enforcement |
| Data | Data classification |
| Runtime | Resource limits |
| Network | Network permissions |
| Memory | Memory access |
| Tool | Tool permissions |
| Workflow | Workflow restrictions |
| Audit | Logging requirements |
| AI | Model usage policies |
8. Policy Lifecycle
Section titled “8. Policy Lifecycle”Draft
↓
Validated
↓
Approved
↓
Published
↓
Active
↓
Deprecated
↓
ArchivedPublished policies are immutable.
9. Policy Definition
Section titled “9. Policy Definition”Example:
apiVersion: wovyr.ai/v1
kind: Policy
metadata:
id: no-shell-access
version: 1.0.0
spec:
effect: deny
target:
tools:
- shell
condition:
environment:
production10. RBAC (Role-Based Access Control)
Section titled “10. RBAC (Role-Based Access Control)”Supported roles:
- Platform Administrator
- Organization Administrator
- Project Owner
- Developer
- QA Engineer
- Auditor
- AI Agent
- Viewer
Permissions are assigned to roles.
11. ABAC (Attribute-Based Access Control)
Section titled “11. ABAC (Attribute-Based Access Control)”Attributes include:
- Tenant
- Environment
- Project
- Department
- Risk Level
- Data Classification
- Region
- Time
- Device
ABAC enables fine-grained authorization.
12. Policy Evaluation Flow
Section titled “12. Policy Evaluation Flow”Execution Request
↓
Load Policies
↓
Resolve Inheritance
↓
Evaluate Conditions
↓
Calculate Decision
↓
Return ResultEvaluation occurs before execution.
13. Decision Outcomes
Section titled “13. Decision Outcomes”Possible outcomes:
- Allow
- Deny
- Conditional Allow
- Require Approval
- Retry Later
14. Conditions
Section titled “14. Conditions”Supported conditions:
- Time
- Date
- Region
- Tenant
- User
- Agent
- Workflow
- Environment
- Tags
- Labels
- Resource Usage
15. Approval Policies
Section titled “15. Approval Policies”Certain operations require approval.
Examples:
- Production deployment
- Secret export
- Database deletion
- Financial transactions
- External API access
Approval integrates with the Workflow Engine.
16. Data Classification
Section titled “16. Data Classification”Supported levels:
Public
↓
Internal
↓
Confidential
↓
Restricted
↓
Highly ConfidentialAccess depends on clearance level.
17. Tool Policies
Section titled “17. Tool Policies”Policies may restrict:
- Tool availability
- Tool parameters
- Execution duration
- Network access
- Filesystem access
- Environment variables
Example:
tool:
filesystem:
readonly: true
shell:
enabled: false18. Memory Policies
Section titled “18. Memory Policies”Memory access may be restricted by:
- Tenant
- Agent
- Project
- Classification
- Tags
- Time
Sensitive memories require explicit permission.
19. Network Policies
Section titled “19. Network Policies”Network restrictions include:
- Allow lists
- Deny lists
- Domain restrictions
- IP restrictions
- Protocol restrictions
- Region restrictions
Default behavior is deny unless explicitly allowed.
20. Secret Policies
Section titled “20. Secret Policies”Secret rules include:
- Read permissions
- Rotation schedules
- Expiration
- Environment restrictions
- Audit requirements
Secrets are never exposed to LLM prompts.
21. Compliance Policies
Section titled “21. Compliance Policies”Supported compliance frameworks:
- GDPR
- SOC 2
- ISO 27001
- HIPAA
- PCI DSS
- NIST
- FedRAMP
Compliance rules are configurable.
22. Audit Logging
Section titled “22. Audit Logging”Every policy decision generates an audit record.
Example:
requestId:policyId:decision:reason:timestamp:actor:resource:Audit records are immutable.
23. Risk Scoring
Section titled “23. Risk Scoring”The engine calculates a runtime risk score.
Factors:
- Requested tool
- Data sensitivity
- User role
- Environment
- External connectivity
- Compliance impact
High-risk requests may require approval.
24. Rust Interface
Section titled “24. Rust Interface”pub trait PolicyEngine {
fn evaluate( &self, request: PolicyRequest, ) -> PolicyDecision;
fn validate( &self, policy: Policy, ) -> Result<()>;
fn publish( &self, policy: Policy, ) -> Result<PolicyId>;}25. Module Organization
Section titled “25. Module Organization”engine-policy/├── evaluator/├── rbac/├── abac/├── compliance/├── approvals/├── conditions/├── audit/├── registry/├── metrics/└── mod.rs26. Testing Strategy
Section titled “26. Testing Strategy”Unit Tests
Section titled “Unit Tests”- Rule evaluation
- Condition matching
- Policy inheritance
- Risk scoring
Integration Tests
Section titled “Integration Tests”- Workflow Engine
- Tool Framework
- Memory System
- Provider SDK
Performance Tests
Section titled “Performance Tests”- Million-policy evaluations
- High concurrency
- Complex rule trees
27. Non-Functional Requirements
Section titled “27. Non-Functional Requirements”| Requirement | Target |
|---|---|
| Policy evaluation | < 5 ms |
| Rule lookup | < 2 ms |
| Decision generation | < 10 ms |
| Availability | 99.99% |
28. Dependencies
Section titled “28. Dependencies”docs/03-workflow-engine/agent-runtime.mddocs/04-agent-framework/tool-framework.mddocs/04-agent-framework/context-manager.mddocs/04-agent-framework/memory-system.md
29. Related Documents
Section titled “29. Related Documents”docs/04-agent-framework/agent-definition.mddocs/04-agent-framework/provider-sdk.mddocs/03-workflow-engine/security.mddocs/03-workflow-engine/rbac.md
30. Future Enhancements
Section titled “30. Future Enhancements”- AI-assisted policy generation
- Natural language policies
- Policy simulation
- Runtime policy learning
- Cross-region policy federation
- Dynamic compliance packs
- Visual policy designer
31. Revision History
Section titled “31. Revision History”| Version | Date | Description |
|---|---|---|
| 1.0.0 | 2026-06-26 | Initial Policy Engine Specification |