A complete governance framework for safe, compliant AI adoption.
Kairro brings structure, oversight, and accountability to AI usage across your organization. From approving AI use cases to assessing risk to tracking Shadow AI, Kairro establishes a unified governance model that scales with your AI maturity.
Why AI Governance Matters
Fragmented AI usage, unknown risk, and compliance gaps demand a unified governance model.
Fragmented tools
Limited visibility
Compliance gaps
No consistent approvals
AI Governance Framework
Structured entities that mirror real enterprise AI programs.
AI Use Cases
Approved/proposed uses with purpose, owner, data usage, tools, sensitivity, regulatory profile, risk, and stage history.
Risk Assessments
RiskScore (0–100), auditReadiness (0–100), regulatory class, sensitivity, model type, volume—blended into insights.
Stages & Reviews
Custom stages (Draft, Review, Compliance, Security, Approved/Rejected). UseCaseReviews capture role/team decisions and notes.
Framework Controls
FrameworkControls + UseCaseControlStatus for data protection, access, logging, vendor assessments with met/partial/action statuses.
AI Inventory
AiInventoryItem catalog of product features, external tools, discovered endpoints (type, source, risk, status: approved/pending/unapproved/discovered).
Shadow AI Integration
ShadowAiEvents cross-referenced with inventory and approved/unapproved tools over 30–90 day windows to classify hosts: APPROVED / UNAPPROVED / DISCOVERED.
Governance Dashboard
Unified view of risk posture, Shadow AI trends, and governance progress.
Weighted from use case risk, DLP severity (30 days), unapproved tool detections, high-severity Shadow AI, blocked ratios, trend factors.
Based on control coverage, identity/policy readiness, logging/integration config, governance completeness (reviews, approvals).
Shadow alerts 7d, critical DLP 7d, inventory totals, use cases in review, high-risk use cases (≥70 or HIGH_RISK).
End-to-End Governance Workflows
A traceable AI lifecycle from discovery to continuous improvement.
Discover & Catalog
Find AI tools/behaviors, add to inventory, define use cases and details.
Assess & Review
Score risk, run staged reviews, approve or remediate based on risk.
Monitor & Enforce
Use events, DLP, and Shadow AI insights to keep policies active and compliant.
Improve & Audit
Close feedback loops, maintain audit trails, and iterate controls and approvals.
Why Kairro’s Governance Stands Out
At the intersection of DLP, policy enforcement, event telemetry, Shadow AI detection, and use-case management.
Continuously updated via telemetry, Shadow AI discovery, DLP incidents, identity mapping, subscription/endpoint metadata.
Comprehensive review history, stage-based workflows, control tracking, transparent scoring, secure logging.
The Result
Kairro turns AI adoption from a security risk into a governed, compliant, scalable program.