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GovOps: Requirements

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Michael Schwartz edited this page Nov 20, 2025 · 7 revisions

Requirements Document

Introduction

Agama GovOps is a continuous governance platform designed to provide automated oversight, compliance monitoring, and policy enforcement for AI agents and infrastructure systems. The platform integrates OSCAL-based compliance frameworks with modern authorization engines to ensure AI systems operate within defined governance boundaries while maintaining auditability and regulatory compliance.

Glossary

  • Agama_GovOps_System: The continuous governance platform for AI agents and infrastructure
  • AI_Agent: Any autonomous or semi-autonomous software system that makes decisions or takes actions
  • Infrastructure_Component: Computing resources, networks, databases, and services that support AI operations
  • Governance_Policy: Rules and constraints that define acceptable behavior for AI agents and infrastructure
  • Compliance_Framework: OSCAL-based standards and controls for regulatory adherence
  • Authorization_Engine: The Cedar-based policy decision point for real-time access control
  • Policy_Store: The centralized repository for governance policies and compliance rules
  • Protobuf_Schema_Registry: Centralized management system for Protobuf schemas and structured data validation
  • Agama_Lab_Frontend: The primary user interface and customer experience front door for policy management
  • Cedar_Analysis_Tools: Formal reasoning and policy verification services with SMT solver integration
  • Governance_Officer: A user responsible for defining and maintaining governance policies
  • Infrastructure_Administrator: A user managing the underlying systems and resources
  • AI_Developer: A user creating, deploying, or maintaining AI agents
  • Audit_Trail: Comprehensive logging of all AI agent actions and governance decisions
  • Dashboard_KPI_Engine: Real-time dashboard and KPI tracking system for governance analytics and monitoring
  • Hub_System: The centralized system for collecting logs from Cedarling instances and publishing policy store releases
  • GitHub_Integration: Version control and release management system for policies and schemas

Requirements

Requirement 1 (MVP)

User Story: As an AI_Developer, I want to author Cedar policies in Agama_Lab_Frontend and validate them, so that I can deploy correct policies with confidence.

Acceptance Criteria

  1. THE Agama_Lab_Frontend SHALL provide a policy authoring interface for creating Cedar policies
  2. WHEN policies are authored, THE Agama_GovOps_System SHALL provide real-time syntax checking and validation
  3. THE Cedar_Analysis_Tools SHALL detect conflicts, unsafe allow/deny patterns, and policy errors
  4. WHILE authoring policies, THE Agama_GovOps_System SHALL provide immediate feedback on policy correctness
  5. WHERE policy validation fails, THE Agama_GovOps_System SHALL provide clear error messages and suggestions

Requirement 2 (MVP)

User Story: As an AI_Developer, I want to push policy updates via GitHub so that agents receive and enforce the latest version automatically.

Acceptance Criteria

  1. THE Agama_GovOps_System SHALL support GitHub_Integration for policy versioning and distribution
  2. WHEN policies are committed to GitHub, THE Agama_GovOps_System SHALL trigger validation and testing
  3. THE Agama_GovOps_System SHALL publish policy stores via GitHub Releases
  4. WHILE GitHub Releases are published, THE Hub_System SHALL automatically distribute updates to Cedarling instances
  5. WHERE policy updates are distributed, THE Agama_GovOps_System SHALL ensure agents update without downtime

Requirement 3 (MVP)

User Story: As a Governance_Officer, I want policies enforced in real-time so I can ensure agents operate within governance boundaries.

Acceptance Criteria

  1. THE Agama_GovOps_System SHALL deploy Cedarling instances to evaluate each AI agent action in real-time
  2. WHEN AI_Agents attempt actions, THE Cedarling instances SHALL evaluate policies and return permit/deny/error decisions
  3. THE Agama_GovOps_System SHALL log all policy decisions for audit and monitoring purposes
  4. WHILE network connectivity is available, THE Cedarling instances SHALL send batched decision logs to Hub_System
  5. WHERE network partitions occur, THE Cedarling instances SHALL support cached enforcement and resume logging when connectivity is restored

Requirement 4 (MVP)

User Story: As a Governance_Officer, I want to view recent policy decisions so I can understand the effects of my governance rules.

Acceptance Criteria

  1. THE Agama_GovOps_System SHALL provide a real-time dashboard showing recent policy decisions
  2. WHEN viewing policy decisions, THE Dashboard_KPI_Engine SHALL display permit/deny/error events in chronological order
  3. THE Agama_GovOps_System SHALL support filtering decisions by agent, action, and resource
  4. WHILE monitoring decisions, THE Agama_GovOps_System SHALL highlight policy evaluation errors
  5. WHERE decision patterns indicate issues, THE Agama_GovOps_System SHALL provide basic alerting capabilities

Requirement 5 (MVP)

User Story: As a Compliance_Manager, I want to map policies to compliance controls so that I can show which rules satisfy which requirements.

Acceptance Criteria

  1. THE Agama_GovOps_System SHALL provide a minimal OSCAL component-definition builder
  2. WHEN creating compliance mappings, THE Agama_GovOps_System SHALL support mapping Cedar policies to OSCAL controls
  3. THE Agama_GovOps_System SHALL provide a simple UI for creating policy-to-control relationships
  4. WHILE building compliance evidence, THE Agama_GovOps_System SHALL support basic evidence export in CSV/JSON formats
  5. WHERE compliance mappings are created, THE Agama_GovOps_System SHALL demonstrate governance coverage for regulatory requirements

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