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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


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

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

  1. Policies are declarative.
  2. Policies are immutable after publication.
  3. Every execution is evaluated.
  4. Deny overrides allow.
  5. Policies are versioned.
  6. Policy evaluation is deterministic.
  7. Policy evaluation is observable.

User Request
Agent Runtime
Policy Engine
┌──────────────────┼──────────────────┐
▼ ▼ ▼
RBAC Engine ABAC Engine Compliance Engine
│ │ │
└──────────────────┼──────────────────┘
Decision Engine
Allow / Deny / Conditional

The Policy Engine governs:

  • Agent execution
  • Workflow execution
  • Tool invocation
  • Memory access
  • Secret access
  • API calls
  • File access
  • Database access
  • Network communication
  • Human approvals

Platform Policy
Organization Policy
Project Policy
Workflow Policy
Agent Policy
Tool Policy
Execution Policy

Higher-level policies override lower-level policies.


PolicyPurpose
SecurityAuthentication & authorization
ComplianceRegulatory enforcement
DataData classification
RuntimeResource limits
NetworkNetwork permissions
MemoryMemory access
ToolTool permissions
WorkflowWorkflow restrictions
AuditLogging requirements
AIModel usage policies

Draft
Validated
Approved
Published
Active
Deprecated
Archived

Published policies are immutable.


Example:

apiVersion: wovyr.ai/v1
kind: Policy
metadata:
id: no-shell-access
version: 1.0.0
spec:
effect: deny
target:
tools:
- shell
condition:
environment:
production

Supported roles:

  • Platform Administrator
  • Organization Administrator
  • Project Owner
  • Developer
  • QA Engineer
  • Auditor
  • AI Agent
  • Viewer

Permissions are assigned to roles.


Attributes include:

  • Tenant
  • Environment
  • Project
  • Department
  • Risk Level
  • Data Classification
  • Region
  • Time
  • Device

ABAC enables fine-grained authorization.


Execution Request
Load Policies
Resolve Inheritance
Evaluate Conditions
Calculate Decision
Return Result

Evaluation occurs before execution.


Possible outcomes:

  • Allow
  • Deny
  • Conditional Allow
  • Require Approval
  • Retry Later

Supported conditions:

  • Time
  • Date
  • Region
  • Tenant
  • User
  • Agent
  • Workflow
  • Environment
  • Tags
  • Labels
  • Resource Usage

Certain operations require approval.

Examples:

  • Production deployment
  • Secret export
  • Database deletion
  • Financial transactions
  • External API access

Approval integrates with the Workflow Engine.


Supported levels:

Public
Internal
Confidential
Restricted
Highly Confidential

Access depends on clearance level.


Policies may restrict:

  • Tool availability
  • Tool parameters
  • Execution duration
  • Network access
  • Filesystem access
  • Environment variables

Example:

tool:
filesystem:
readonly: true
shell:
enabled: false

Memory access may be restricted by:

  • Tenant
  • Agent
  • Project
  • Classification
  • Tags
  • Time

Sensitive memories require explicit permission.


Network restrictions include:

  • Allow lists
  • Deny lists
  • Domain restrictions
  • IP restrictions
  • Protocol restrictions
  • Region restrictions

Default behavior is deny unless explicitly allowed.


Secret rules include:

  • Read permissions
  • Rotation schedules
  • Expiration
  • Environment restrictions
  • Audit requirements

Secrets are never exposed to LLM prompts.


Supported compliance frameworks:

  • GDPR
  • SOC 2
  • ISO 27001
  • HIPAA
  • PCI DSS
  • NIST
  • FedRAMP

Compliance rules are configurable.


Every policy decision generates an audit record.

Example:

requestId:
policyId:
decision:
reason:
timestamp:
actor:
resource:

Audit records are immutable.


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.


pub trait PolicyEngine {
fn evaluate(
&self,
request: PolicyRequest,
) -> PolicyDecision;
fn validate(
&self,
policy: Policy,
) -> Result<()>;
fn publish(
&self,
policy: Policy,
) -> Result<PolicyId>;
}

engine-policy/
├── evaluator/
├── rbac/
├── abac/
├── compliance/
├── approvals/
├── conditions/
├── audit/
├── registry/
├── metrics/
└── mod.rs

  • Rule evaluation
  • Condition matching
  • Policy inheritance
  • Risk scoring
  • Workflow Engine
  • Tool Framework
  • Memory System
  • Provider SDK
  • Million-policy evaluations
  • High concurrency
  • Complex rule trees

RequirementTarget
Policy evaluation< 5 ms
Rule lookup< 2 ms
Decision generation< 10 ms
Availability99.99%

  • docs/03-workflow-engine/agent-runtime.md
  • docs/04-agent-framework/tool-framework.md
  • docs/04-agent-framework/context-manager.md
  • docs/04-agent-framework/memory-system.md

  • docs/04-agent-framework/agent-definition.md
  • docs/04-agent-framework/provider-sdk.md
  • docs/03-workflow-engine/security.md
  • docs/03-workflow-engine/rbac.md

  • AI-assisted policy generation
  • Natural language policies
  • Policy simulation
  • Runtime policy learning
  • Cross-region policy federation
  • Dynamic compliance packs
  • Visual policy designer

VersionDateDescription
1.0.02026-06-26Initial Policy Engine Specification