GRC & Compliance
Continuous compliance automation with multi-framework evidence collection and audit readiness
Governance, Risk, and Compliance is where regulatory obligations meet operational reality. DevOps AI automates evidence collection, maintains continuous compliance posture, and generates audit-ready documentation — satisfying SOC 2, CMMC, HIPAA, NIST, ISO 27001, and GDPR simultaneously from a single evidence stream.
What You'll See
Real screens from the DevOps AI control plane — populated with representative data.
8 Process Areas
Each process area is classified with a Human-in-the-Loop (HITL) gate level — defining the boundary between AI autonomy and human oversight. Click any process area for a deep dive.
Framework Lifecycle Management
L2 — Approve to ProceedFull lifecycle management for compliance frameworks — scoping, gap analysis, remediation tracking, evidence collection, and certification maintenance.
Deep Dive →OSCAL-Native Evidence
L0 — Fully AutomatedEvidence collected in OSCAL (Open Security Controls Assessment Language) format for machine-readable compliance documentation.
Deep Dive →Gap Analysis Engine
L1 — NotifyAI-powered gap analysis comparing current security controls against target framework requirements. Remediation recommendations prioritized by risk.
Deep Dive →CMMC SSP Builder
L2 — Approve to ProceedAutomated System Security Plan generation for CMMC Level 2 with control mapping, boundary diagrams, and inherited control documentation.
Deep Dive →C3PAO Readiness Assessment
L2 — Approve to ProceedPre-assessment checklist and evidence package preparation for C3PAO auditors. Simulated audit walkthroughs with AI-identified gaps.
Deep Dive →Audit Management
L2 — Approve to ProceedAudit lifecycle tracking from planning through closure. Evidence requests routed to control owners with automated collection where possible.
Deep Dive →Policy Management
L2 — Approve to ProceedPolicy lifecycle with version control, approval workflows, distribution tracking, and attestation management.
Deep Dive →Continuous Monitoring
L0 — Fully AutomatedReal-time compliance posture dashboards with automated drift detection. Alerts when controls fall out of compliance.
Deep Dive →Understanding HITL Gate Levels
Every process area in DevOps AI is classified by its Human-in-the-Loop (HITL) gate level — defining when AI acts autonomously and when human approval is required.
AI executes autonomously with full logging. No human approval needed. Examples: ticket classification, monitoring alerts, report generation.
AI executes and notifies the assigned human. Human can review, override, or escalate after the fact. Examples: SLA predictions, patch scheduling.
AI prepares and recommends, but a human must explicitly approve before execution. Examples: change requests, contract modifications, campaign launches.
Humans perform the action with AI providing decision support only. Examples: legal review, privileged access approval, incident legal response.
Who Uses GRC & Compliance?
See how GRC & Compliance transforms daily operations for these roles.
Works With
GRC & Compliance integrates deeply with these operational zones.