Govern AI use. Secure GenAI.
Practical guardrails for organizations adopting AI, from shadow GenAI use to enterprise model deployments.
Teams are shipping AI features faster than security can review them. Shadow GenAI tools, prompt-injection risks, model supply-chain exposure, and regulator focus on AI governance (EU AI Act, ISO 42001) all converge into a single, urgent problem.
How we approach it.
- STEP 01
Discover AI surface
- STEP 02
Risk-rate use cases
- STEP 03
Apply controls & policy
- STEP 04
Monitor continuously
The full scope.
- AI use-case inventory and risk classification
- GenAI usage policy and acceptable-use guardrails
- LLM application threat modeling (OWASP LLM Top 10)
- Model supply-chain & data-leakage assessment
- ISO 42001 / NIST AI RMF readiness mapping
- Red-team testing for prompt injection and jailbreaks
What you get.
- AI Risk Register
- AI Governance Policy
- Architecture Review Report
- Control Library mapped to ISO 42001
- Quarterly Roadmap
Organizations deploying GenAI internally or in customer-facing products, or seeking ISO 42001 certification.
Frequently asked questions.
Do you cover open-source LLMs and self-hosted models?
Yes, including model supply-chain provenance, fine-tuning data hygiene, and deployment hardening.
Can you help with the EU AI Act?
We map your AI inventory to EU AI Act risk tiers and identify obligations by deployment date.
Related services.
Most clients combine two or three of these. Here's what pairs well with this engagement.
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Hardening across AWS, Azure, and GCP: CSPM, IAM, Zero Trust.
ExploreVendor Risk (TPRM)
Continuous third-party assurance, AI Trust Center, automated questionnaires.
ExploreOperational Resilience
BCM, DR, and impact tolerance, ready for DORA and RBI guidance.
ExploreIS GRC
ISO 27001, SOC 2, NIST, PCI DSS, GDPR: readiness through certification.
ExploreReady to strengthen your security posture?
Book a free 30-minute consultation. No slides, just a working conversation about your gaps and roadmap.