How much do you really know
about the AI risk you're operating?
AI-VRM assessment across 6 domains — posture, architecture, data, governance, vendors, and exposure. In 4 weeks you leave with a quantitative scorecard, risk heatmap, and 30/60/90 plan.
360-degree assessment — posture, architecture, data, governance, vendors, and response
Each domain is audited against NIST AI RMF, ISO 42001, and OWASP LLM Top 10 controls, and scored on a 0–100 scale with market benchmarks.
Security posture
AI inventory, criticality classification, access controls, environment segregation, and credential management for LLM systems.
Architecture & models
Assessment of in-house and third-party models, tool/function design, RAG safety, data/instruction separation, and orchestration patterns.
Data & privacy
Training data and RAG lineage, LGPD/GDPR compliance, automatic PII redaction, and output leakage validation.
Governance & compliance
AI acceptable-use policy, review committee, EU AI Act readiness, PL 2338 (BR), and audit trails for every decision.
Vendor risk
Due diligence on AI providers, contracts with security clauses, multi-tenant isolation, and exit/portability plan.
Detection & response
Prompt/response observability, prompt-injection detection, AI IR runbooks, and adapted tabletop exercises.
From kickoff to executive scorecard
Kickoff & inventory
Executive workshop, AI systems mapping, criticality classification, and stakeholder definition per domain.
Collection & interviews
Interviews with engineering, product, data, legal. Review of configurations, code, and documentation. Access to logs.
Analysis & benchmark
Scoring of 120+ controls, market peer comparison, top-gap identification, and attack-scenario simulation.
Scorecard & plan
C-level presentation, quantitative scorecard, business-unit heatmap, and 30/60/90 remediation plan.
Post-remediation review
Re-assessment 90 days after remediation start to validate implemented controls and update the scorecard with a new score.
From current score to executive target
Each gap identified becomes a prioritized action with owner, effort, and window. The target: go from an average of 60 to 80+ in 90 days — without freezing the product roadmap.
Quick wins
Prompt logging, output PII redaction, published acceptable-use policy, API key segregation by environment.
Structural controls
Prompt-injection detection, output classifier, AI IR runbooks, review committee for new models.
Continuous program
Operational AI SOC, quarterly tabletop exercises, vendor due diligence, and scorecard re-scoring.
Where does your organization stand today?
Start with a 4-week AI-VRM diagnostic — leave with executive scorecard, heatmap, and actionable 30/60/90 plan.
Start diagnostic