CODITECT-COMPLIANCE Product Requirements Document Prompt
Prompt ID: 02-PRODUCT-REQUIREMENTS
Output: docs/product/PRD.md
Dependencies: 01-PRODUCT-DEFINITION
Estimated Tokens: 25,000-35,000
Objective
Generate a comprehensive Product Requirements Document (PRD) that translates the Product Definition into detailed functional and non-functional requirements. This PRD serves as the contract between product and engineering, enabling autonomous implementation by CODITECT-CORE.
Instructions
You are CODITECT-CORE generating a Product Requirements Document. Reference the Product Definition Document for strategic context. Generate exhaustive, implementation-ready requirements.
Required Document Sections
Section 1: Document Control
Generate document metadata:
document:
title: "CODITECT-COMPLIANCE Product Requirements Document"
version: "1.0.0"
status: "Draft"
owner: "Product"
reviewers: ["Engineering Lead", "Security Lead", "Compliance Lead"]
approval_date: null
revision_history:
- version: "1.0.0"
date: "[CURRENT_DATE]"
author: "CODITECT-CORE"
changes: "Initial PRD generation"
Section 2: Requirements Overview
Generate requirements summary:
2.1 Requirement Categories
categories:
functional:
description: "What the system must do"
sections:
- Control Graph Management
- Evidence Collection & Management
- Continuous Monitoring
- Agent Framework
- Integration Management
- Trust Center
- Audit Workflows
- Risk Management
- User Management
non_functional:
description: "How the system must perform"
sections:
- Performance
- Security
- Scalability
- Reliability
- Compliance
- Usability
2.2 Requirement Priorities
priority_definitions:
P0_critical:
description: "Must have for MVP launch"
timeline: "Phase 1 (Q1 2025)"
P1_high:
description: "Required for GA launch"
timeline: "Phase 2 (Q2 2025)"
P2_medium:
description: "Important for competitive parity"
timeline: "Phase 3 (Q3 2025)"
P3_low:
description: "Nice to have / future"
timeline: "Phase 4+ (Q4 2025+)"
Section 3: Functional Requirements - Control Graph
Generate detailed requirements for the control graph subsystem:
3.1 Framework Management
FR-CG-001:
title: "Framework CRUD Operations"
priority: P0
description: |
The system shall support creating, reading, updating, and deleting
compliance frameworks with their hierarchical structure.
acceptance_criteria:
- Framework can be created with name, version, effective date, and source URL
- Framework hierarchy supports: Framework → Domain → Control Family → Control
- Framework can be versioned with change tracking
- Framework can be deprecated without deletion (soft delete)
- Import from standard formats (OSCAL, CSV, JSON)
data_model:
Framework:
id: "uuid"
name: "string (max 256)"
short_name: "string (max 32)"
version: "semver string"
effective_date: "date"
source_url: "url"
status: "enum [ACTIVE, DEPRECATED, DRAFT]"
created_at: "timestamp"
updated_at: "timestamp"
FR-CG-002:
title: "Control Definition Management"
priority: P0
description: |
The system shall support comprehensive control definitions with
implementation guidance and testing criteria.
acceptance_criteria:
- Control has unique identifier within framework
- Control includes description, objective, and implementation guidance
- Control specifies testing procedure and expected evidence
- Control can be tagged for categorization and search
- Control supports custom fields per framework
data_model:
Control:
id: "uuid"
framework_id: "uuid (FK)"
control_id: "string (framework-specific, e.g., CC6.1)"
name: "string (max 256)"
description: "text (max 4000)"
objective: "text (max 2000)"
implementation_guidance: "text"
testing_procedure: "text"
evidence_requirements: "json array"
category: "enum"
tags: "string array"
custom_fields: "json"
FR-CG-003:
title: "Cross-Framework Control Mapping"
priority: P0
description: |
The system shall automatically identify and maintain mappings between
equivalent or overlapping controls across frameworks.
acceptance_criteria:
- System suggests mappings based on semantic similarity
- Mappings have confidence score (0-100)
- Mappings can be approved, rejected, or modified by users
- Mapping relationship types: EQUIVALENT, OVERLAPS, PARTIALLY_SATISFIES
- Implement one control to satisfy multiple framework requirements
data_model:
ControlMapping:
id: "uuid"
source_control_id: "uuid (FK)"
target_control_id: "uuid (FK)"
relationship_type: "enum"
confidence_score: "integer (0-100)"
status: "enum [SUGGESTED, APPROVED, REJECTED]"
approved_by: "uuid (FK User)"
notes: "text"
FR-CG-004:
title: "Control Implementation Status Tracking"
priority: P0
description: |
The system shall track implementation status of each control
per organization with evidence and ownership.
acceptance_criteria:
- Status options: NOT_STARTED, IN_PROGRESS, IMPLEMENTED, NOT_APPLICABLE
- Implementation linked to responsible party
- Implementation notes and artifacts attachable
- Status change audit trail maintained
- Gap analysis dashboard based on implementation status
data_model:
ControlImplementation:
id: "uuid"
organization_id: "uuid (FK)"
control_id: "uuid (FK)"
status: "enum"
owner_id: "uuid (FK User)"
implementation_date: "date"
review_date: "date"
notes: "text"
artifacts: "json array"
last_evidence_date: "timestamp"
3.2 Graph Query & Visualization
FR-CG-010:
title: "Control Graph Query API"
priority: P0
description: |
The system shall provide a GraphQL API for traversing and querying
the control graph with complex relationship queries.
acceptance_criteria:
- Query controls by framework, category, tag, status
- Traverse relationships: Control → Policy → Asset → Evidence
- Query mapped controls across frameworks
- Query controls by asset or risk association
- Support pagination and filtering
- Response time < 500ms for standard queries
api_examples:
- "Get all controls in SOC2 CC6 family"
- "Find controls that satisfy both HIPAA and SOC2"
- "Get all controls applicable to asset X"
- "Find gaps: controls without evidence in last 30 days"
FR-CG-011:
title: "Control Relationship Visualization"
priority: P1
description: |
The system shall provide interactive visualization of control
relationships and mappings.
acceptance_criteria:
- Graph visualization of control-to-control mappings
- Filter by framework, status, category
- Click-through to control details
- Export visualization as image or PDF
- Display mapping confidence scores
Section 4: Functional Requirements - Evidence Collection
Generate detailed evidence management requirements:
4.1 Evidence Lifecycle
FR-EV-001:
title: "Automated Evidence Collection"
priority: P0
description: |
The system shall automatically collect evidence from integrated
systems on configurable schedules.
acceptance_criteria:
- Evidence collection runs on hourly/daily/weekly schedules
- Event-triggered collection for specific events
- Collection jobs are idempotent and retryable
- Failed collections generate alerts
- Collection history maintained for 12 months
data_model:
EvidenceCollectionJob:
id: "uuid"
integration_id: "uuid (FK)"
schedule: "cron expression"
last_run: "timestamp"
next_run: "timestamp"
status: "enum [SCHEDULED, RUNNING, COMPLETED, FAILED]"
evidence_count: "integer"
error_message: "text"
FR-EV-002:
title: "Evidence Item Management"
priority: P0
description: |
The system shall store and manage evidence items with metadata,
versioning, and control associations.
acceptance_criteria:
- Evidence types: CONFIG, LOG, SCREENSHOT, DOCUMENT, API_RESPONSE
- Evidence linked to one or more controls
- Evidence versioning for point-in-time comparison
- Evidence retention policies configurable
- Evidence searchable by type, date, control, source
data_model:
EvidenceItem:
id: "uuid"
organization_id: "uuid (FK)"
type: "enum"
source_integration: "uuid (FK)"
collected_at: "timestamp"
content_hash: "sha256"
storage_location: "string"
control_ids: "uuid array"
metadata: "json"
retention_until: "date"
version: "integer"
FR-EV-003:
title: "Evidence Gap Detection"
priority: P0
description: |
The system shall automatically detect controls lacking sufficient
or fresh evidence and alert stakeholders.
acceptance_criteria:
- Configure evidence freshness requirements per control (7/30/90 days)
- Gap detected when evidence older than threshold
- Gap detected when required evidence type missing
- Gap notifications via email and in-app
- Gap remediation suggestions provided
- Gap dashboard with prioritized list
FR-EV-004:
title: "Evidence Validation"
priority: P1
description: |
The system shall validate collected evidence against expected
criteria for each control.
acceptance_criteria:
- Validation rules configurable per control
- Example: MFA enabled check expects "mfa_enabled: true"
- Validation failures flag control as non-compliant
- Validation can be manual override with justification
- AI-assisted validation for unstructured evidence
4.2 Evidence Presentation
FR-EV-010:
title: "Audit Evidence Package Generation"
priority: P0
description: |
The system shall generate audit-ready evidence packages
organized by framework and control.
acceptance_criteria:
- Package includes evidence summary and detailed items
- Evidence organized by control or by evidence type
- Include evidence collection metadata (source, date, collector)
- Export formats: PDF, ZIP with files, API download
- Package generation completes within 5 minutes for 1000 items
FR-EV-011:
title: "Evidence Timeline View"
priority: P1
description: |
The system shall display evidence history as an interactive
timeline showing compliance posture over time.
acceptance_criteria:
- Timeline shows evidence collection events
- Highlight gaps and non-compliance periods
- Filter by control, framework, time range
- Click-through to evidence details
- Export timeline as report
Section 5: Functional Requirements - Continuous Monitoring
Generate monitoring requirements:
5.1 Control Health Checks
FR-CM-001:
title: "Automated Control Checks"
priority: P0
description: |
The system shall execute automated checks against integrated
systems to verify control implementation status.
acceptance_criteria:
- Library of 500+ pre-built checks
- Checks organized by framework and control
- Check execution configurable: continuous, hourly, daily
- Check results stored with evidence linkage
- Custom check definition capability
data_model:
ControlCheck:
id: "uuid"
name: "string"
description: "text"
control_ids: "uuid array"
integration_type: "string"
check_logic: "json (query definition)"
severity: "enum [CRITICAL, HIGH, MEDIUM, LOW, INFO]"
enabled: "boolean"
CheckResult:
id: "uuid"
check_id: "uuid (FK)"
organization_id: "uuid (FK)"
executed_at: "timestamp"
status: "enum [PASS, FAIL, ERROR, SKIPPED]"
details: "json"
evidence_id: "uuid (FK)"
FR-CM-002:
title: "Control Check Categories"
priority: P0
description: |
The system shall provide checks across these categories.
categories:
access_control:
- MFA enforcement verification
- Admin account enumeration
- Access review completion status
- Privileged access justification
- Service account inventory
configuration_management:
- Encryption at rest verification
- Encryption in transit verification
- Secure baseline compliance
- Configuration drift detection
- Patch currency status
logging_monitoring:
- Audit logging enabled
- Log retention compliance
- Alert configuration verification
- SIEM integration status
change_management:
- Branch protection rules
- Code review enforcement
- Deployment approval gates
- Change ticket correlation
data_protection:
- Data classification enforcement
- DLP rule verification
- Backup verification
- Data residency compliance
FR-CM-003:
title: "Compliance Posture Scoring"
priority: P0
description: |
The system shall calculate and display compliance posture scores
at multiple levels.
acceptance_criteria:
- Overall organization score (0-100)
- Per-framework score
- Per-control-family score
- Score calculation: (passing checks / total checks) weighted by severity
- Score trend over time (30/60/90 day comparison)
- Score breakdown by category
scoring_algorithm: |
score = sum(check_weight * check_result) / sum(check_weight)
where:
check_weight = {CRITICAL: 10, HIGH: 5, MEDIUM: 2, LOW: 1, INFO: 0}
check_result = {PASS: 1, FAIL: 0, ERROR: 0, SKIPPED: excluded}
5.2 Alerting & Notifications
FR-CM-010:
title: "Compliance Alert Configuration"
priority: P0
description: |
The system shall generate alerts for compliance events with
configurable notification channels.
acceptance_criteria:
- Alert types: check failure, evidence gap, posture degradation
- Configurable thresholds per alert type
- Notification channels: email, Slack, webhook, in-app
- Alert suppression rules (maintenance windows)
- Alert escalation based on duration unresolved
data_model:
AlertRule:
id: "uuid"
organization_id: "uuid (FK)"
name: "string"
alert_type: "enum"
condition: "json (threshold definition)"
channels: "string array"
recipients: "uuid array (User IDs)"
enabled: "boolean"
suppression_schedule: "json"
FR-CM-011:
title: "Real-time Compliance Dashboard"
priority: P0
description: |
The system shall provide a real-time dashboard showing
current compliance posture.
acceptance_criteria:
- Dashboard refreshes every 60 seconds
- Show posture scores by framework
- Show active alerts and issues
- Show recent evidence collection status
- Show control check status summary
- Drill-down capability to details
Section 6: Functional Requirements - Agent Framework
Generate agent capability requirements:
6.1 Agent Infrastructure
FR-AG-001:
title: "Agent Execution Environment"
priority: P0
description: |
The system shall provide a secure execution environment for
compliance agents with appropriate guardrails.
acceptance_criteria:
- Agents execute in isolated containers
- Agent actions logged for audit
- Agent permissions scoped per organization
- Agent tool access controlled by policy
- Agent token budget enforced per task
- Agent circuit breaker on repeated failures
data_model:
AgentExecution:
id: "uuid"
agent_type: "string"
organization_id: "uuid (FK)"
triggered_by: "enum [SCHEDULE, EVENT, MANUAL]"
started_at: "timestamp"
completed_at: "timestamp"
status: "enum [RUNNING, COMPLETED, FAILED, CANCELLED]"
input_params: "json"
output_result: "json"
token_usage: "integer"
tool_calls: "json array"
error_message: "text"
FR-AG-002:
title: "Agent Types and Capabilities"
priority: P0
description: |
The system shall implement these agent types with specified capabilities.
agents:
regulatory_intelligence_agent:
purpose: "Monitor regulatory changes and update control mappings"
triggers: [SCHEDULED_DAILY, MANUAL]
capabilities:
- Web search for regulatory updates
- Parse regulatory documents
- Suggest control additions or modifications
- Generate regulatory change reports
tools: [web_search, document_parser, control_graph_write]
human_approval: "Required for control changes"
evidence_collection_agent:
purpose: "Collect and validate evidence from integrations"
triggers: [SCHEDULED_HOURLY, INTEGRATION_EVENT, MANUAL]
capabilities:
- Query integration APIs
- Transform responses to evidence format
- Validate evidence against criteria
- Flag gaps and anomalies
tools: [integration_api, evidence_store, gap_detector]
human_approval: "None for collection, required for validation overrides"
control_posture_agent:
purpose: "Assess and report on control health"
triggers: [SCHEDULED_HOURLY, CHECK_FAILURE, MANUAL]
capabilities:
- Execute control checks
- Calculate posture scores
- Generate posture reports
- Prioritize remediation actions
tools: [check_executor, scoring_engine, report_generator]
human_approval: "None for assessment"
remediation_agent:
purpose: "Plan and execute compliance remediation"
triggers: [ISSUE_CREATED, MANUAL]
capabilities:
- Generate remediation plans
- Create tickets in external systems
- Execute automated fixes (with approval)
- Track remediation progress
tools: [ticketing_api, automation_runner, progress_tracker]
human_approval: "Required for automated fixes"
audit_preparation_agent:
purpose: "Prepare audit packages and respond to auditor queries"
triggers: [AUDIT_CREATED, AUDITOR_QUESTION, MANUAL]
capabilities:
- Generate audit packages
- Answer auditor questions from evidence
- Suggest evidence for gaps
- Track audit progress
tools: [evidence_search, document_generator, audit_tracker]
human_approval: "Required for auditor responses"
vendor_risk_agent:
purpose: "Assess third-party security posture"
triggers: [VENDOR_ADDED, ANNUAL_REVIEW, MANUAL]
capabilities:
- Parse SOC reports and certifications
- Complete security questionnaires
- Calculate vendor risk scores
- Track vendor compliance status
tools: [document_parser, questionnaire_responder, risk_calculator]
human_approval: "Required for vendor approval decisions"
6.2 Agent Orchestration
FR-AG-010:
title: "Agent Task Queue"
priority: P0
description: |
The system shall manage agent tasks via a durable queue with
priority and dependency handling.
acceptance_criteria:
- Tasks queued with priority (1-10)
- Task dependencies respected
- Failed tasks retried with backoff
- Task timeout configurable
- Dead letter queue for failed tasks
- Task history retained for 90 days
FR-AG-011:
title: "Human-in-the-Loop Workflow"
priority: P0
description: |
The system shall pause agent execution for human approval
on specified action types.
acceptance_criteria:
- Approval requests sent via configured channels
- Approval timeout with configurable escalation
- Approval audit trail maintained
- Bulk approval capability for similar items
- Approval delegation rules
Section 7: Functional Requirements - Integrations
Generate integration requirements:
FR-IN-001:
title: "Integration Framework"
priority: P0
description: |
The system shall provide a standardized framework for building
and managing integrations.
acceptance_criteria:
- Integration definition via configuration (low-code)
- OAuth2 and API key authentication support
- Rate limiting and retry logic built-in
- Credential encryption at rest
- Integration health monitoring
- Integration SDK for custom connectors
data_model:
Integration:
id: "uuid"
organization_id: "uuid (FK)"
type: "string (e.g., aws, okta, github)"
name: "string"
status: "enum [ACTIVE, INACTIVE, ERROR]"
credentials: "encrypted json"
configuration: "json"
last_sync: "timestamp"
error_message: "text"
FR-IN-002:
title: "Tier 1 Integrations"
priority: P0
description: |
The system shall include these integrations at MVP launch.
integrations:
aws:
authentication: "IAM Role (AssumeRole) or Access Keys"
data_collected:
- IAM users, groups, roles, policies
- S3 bucket configurations
- EC2 instance configurations
- CloudTrail logs
- GuardDuty findings
- Security Hub findings
- Config rules compliance
evidence_types: [CONFIG, LOG, FINDING]
checks_supported: 75+
gcp:
authentication: "Service Account JSON key"
data_collected:
- IAM bindings
- GCS bucket configurations
- Compute instance configurations
- Cloud Audit Logs
- Security Command Center findings
- Asset Inventory
evidence_types: [CONFIG, LOG, FINDING]
checks_supported: 60+
okta:
authentication: "API Token"
data_collected:
- Users and groups
- Applications and assignments
- MFA enrollment status
- System logs
- Policy configurations
evidence_types: [CONFIG, LOG]
checks_supported: 25+
github:
authentication: "GitHub App or PAT"
data_collected:
- Repositories and settings
- Branch protection rules
- Dependabot alerts
- Code scanning alerts
- Actions workflows
- Audit logs (Enterprise)
evidence_types: [CONFIG, LOG, FINDING]
checks_supported: 30+
jira:
authentication: "API Token"
data_collected:
- Projects and configurations
- Issues and workflows
- Custom fields
evidence_types: [DOCUMENT, CONFIG]
checks_supported: 10+
capabilities: [READ, WRITE (create issues)]
Section 8: Functional Requirements - Trust Center
FR-TC-001:
title: "Public Trust Center Portal"
priority: P0
description: |
The system shall provide a public-facing portal displaying
real-time compliance posture.
acceptance_criteria:
- Custom subdomain (trust.company.com)
- Custom branding (logo, colors)
- Real-time posture scores by framework
- Control status summary
- Certification and report downloads
- NDA gating for sensitive documents
ui_sections:
- Company overview and security commitment
- Framework compliance status
- Certifications and reports
- Subprocessor list
- Security questionnaire request
FR-TC-002:
title: "Document Sharing"
priority: P0
description: |
The system shall enable secure document sharing via Trust Center.
acceptance_criteria:
- Upload SOC reports, pen test reports, certifications
- Document access levels: public, NDA required, request access
- Download tracking and watermarking
- Document expiration dates
- Access request workflow
FR-TC-003:
title: "Security Questionnaire Automation"
priority: P1
description: |
The system shall automatically respond to security questionnaires
using existing compliance data.
acceptance_criteria:
- Import questionnaire formats (CAIQ, SIG, VSAQ, custom)
- AI-powered answer suggestion from evidence/controls
- Answer library with approval workflow
- Export completed questionnaires
- Response time tracking
Section 9: Functional Requirements - Audit Workflows
FR-AU-001:
title: "Audit Management"
priority: P0
description: |
The system shall manage the complete audit lifecycle.
acceptance_criteria:
- Create audit with type, period, auditor, timeline
- Track audit phases: scoping, fieldwork, reporting, closing
- PBC (Prepared by Client) list management
- Auditor portal with limited access
- Audit finding tracking and remediation
data_model:
Audit:
id: "uuid"
organization_id: "uuid (FK)"
type: "string (SOC2, ISO27001, etc.)"
period_start: "date"
period_end: "date"
auditor_firm: "string"
status: "enum"
created_at: "timestamp"
FR-AU-002:
title: "Auditor Collaboration"
priority: P1
description: |
The system shall provide a collaboration interface for auditors.
acceptance_criteria:
- Auditor user role with scoped access
- Evidence request workflow
- Comment and question threads
- Evidence approval workflow
- Activity tracking for audit timeline
Section 10: Functional Requirements - Risk Management
FR-RM-001:
title: "Risk Register"
priority: P1
description: |
The system shall maintain a risk register linked to controls and assets.
acceptance_criteria:
- Risk definition with type, likelihood, impact, score
- Risk linked to controls (mitigating), assets (affected)
- Risk treatment options: mitigate, accept, transfer, avoid
- Risk review workflow with approval
- Risk trend reporting
data_model:
Risk:
id: "uuid"
organization_id: "uuid (FK)"
title: "string"
description: "text"
type: "enum [SECURITY, PRIVACY, AI_SAFETY, OPERATIONAL, THIRD_PARTY]"
likelihood: "integer (1-5)"
impact: "integer (1-5)"
inherent_score: "integer"
residual_score: "integer"
status: "enum [OPEN, IN_TREATMENT, ACCEPTED, CLOSED]"
owner_id: "uuid (FK User)"
control_ids: "uuid array"
asset_ids: "uuid array"
Section 11: Non-Functional Requirements
Generate NFRs across categories:
11.1 Performance
NFR-PERF-001:
title: "API Response Time"
requirement: |
95th percentile API response time shall be < 500ms for read operations
and < 2000ms for write operations under normal load.
measurement: "Application Performance Monitoring (APM)"
NFR-PERF-002:
title: "Dashboard Load Time"
requirement: |
Primary dashboard shall render initial content within 2 seconds
and complete loading within 5 seconds.
measurement: "Real User Monitoring (RUM)"
NFR-PERF-003:
title: "Evidence Collection Throughput"
requirement: |
System shall process 10,000 evidence items per hour per organization.
measurement: "Job metrics"
NFR-PERF-004:
title: "Agent Execution Efficiency"
requirement: |
Agent token usage shall average < 1000 tokens per tool call.
Agent tasks shall complete within configured timeout (default 5 minutes).
measurement: "Agent metrics"
11.2 Security
NFR-SEC-001:
title: "Data Encryption"
requirement: |
All data shall be encrypted at rest (AES-256) and in transit (TLS 1.3).
verification: "Penetration testing, configuration audit"
NFR-SEC-002:
title: "Authentication"
requirement: |
System shall support SSO via SAML 2.0 and OIDC.
MFA shall be enforced for all user accounts.
verification: "Security audit"
NFR-SEC-003:
title: "Authorization"
requirement: |
Role-based access control with principle of least privilege.
Roles: Admin, Compliance Manager, Security Engineer, Auditor, Viewer.
verification: "Access control testing"
NFR-SEC-004:
title: "Audit Logging"
requirement: |
All data access and modifications shall be logged with user, timestamp,
and action details. Logs retained for 12 months minimum.
verification: "Log analysis"
11.3 Scalability
NFR-SCALE-001:
title: "Multi-Tenancy"
requirement: |
System shall support 1000+ organizations with complete data isolation.
verification: "Load testing"
NFR-SCALE-002:
title: "Data Volume"
requirement: |
System shall handle 1 million+ evidence items per organization.
Control graph shall support 10,000+ controls.
verification: "Capacity testing"
11.4 Reliability
NFR-REL-001:
title: "Availability"
requirement: |
System availability shall be 99.9% measured monthly (43 minutes downtime).
verification: "Uptime monitoring"
NFR-REL-002:
title: "Disaster Recovery"
requirement: |
RPO: 1 hour, RTO: 4 hours for complete system recovery.
verification: "DR testing"
11.5 Compliance (Self-Compliance)
NFR-COMP-001:
title: "SOC 2 Compliance"
requirement: |
Platform shall maintain SOC 2 Type II certification.
verification: "Annual audit"
NFR-COMP-002:
title: "GDPR Compliance"
requirement: |
Platform shall comply with GDPR for EU customer data.
verification: "Privacy audit"
Section 12: User Interface Requirements
FR-UI-001:
title: "Responsive Web Application"
priority: P0
description: |
The system shall provide a responsive web application
supporting modern browsers.
acceptance_criteria:
- Chrome, Firefox, Safari, Edge (latest 2 versions)
- Desktop-optimized (1280px+)
- Tablet-functional (768px+)
- Accessibility: WCAG 2.1 AA compliance
FR-UI-002:
title: "Navigation Structure"
priority: P0
description: |
The system shall provide intuitive navigation.
navigation:
primary:
- Dashboard (posture overview)
- Frameworks (control management)
- Evidence (evidence library)
- Integrations (connection management)
- Risks (risk register)
- Trust Center (public portal config)
- Audits (audit management)
- Settings (org/user settings)
secondary:
- Agent Activity (agent logs)
- Reports (report generation)
- Vendor Management (third-party)
FR-UI-003:
title: "Eclipse Theia Integration"
priority: P1
description: |
The system shall provide an Eclipse Theia extension for
developer-focused compliance views.
capabilities:
- Inline compliance status indicators in code
- Control-to-code mapping visualization
- Compliance check execution from IDE
- Evidence attachment from development context
Section 13: Data Requirements
DR-001:
title: "Data Retention"
requirement: |
- Evidence: Configurable 1-7 years
- Audit logs: 7 years minimum
- Agent execution logs: 90 days
- User activity: 1 year
DR-002:
title: "Data Export"
requirement: |
- Full data export capability (GDPR right to portability)
- Export formats: JSON, CSV, PDF
- Automated scheduled exports
DR-003:
title: "Data Import"
requirement: |
- Framework import: OSCAL, CSV
- Evidence import: API, bulk upload
- Migration from competitors: Vanta, Drata (roadmap)
Output Format
Generate the document as a single markdown file with:
- Numbered requirements (FR-XX-NNN, NFR-XX-NNN, DR-NNN)
- YAML code blocks for structured requirements
- Clear traceability to product definition sections
- Acceptance criteria for all functional requirements
Acceptance Criteria
The generated document must:
- Be 8,000-12,000 words
- Include 100+ numbered requirements
- Cover all functional areas from product definition
- Include complete data models for core entities
- Include acceptance criteria for all P0/P1 requirements
- Be implementable by an autonomous engineering system
Execution
Generate the complete Product Requirements Document now.