Governance + Secure Adoption
Adopt AI with confidence, and know where it can fail.
Governance, secure architecture, and practical testing for the models, agents, and AI-enabled products your organization builds or adopts. Delivered by advisors who understand both the technology and the business pressure to ship.
At a glance
- AI governance, policy, and vendor risk
- Secure AI architecture review
- Agentic AI threat modeling
- AI and LLM security testing
Who it's for
Built for teams like yours.
Leaders adopting AI tools and platforms who need acceptable-use policy, vendor risk review, and a defensible governance story for the board and regulators.
Product and engineering teams shipping LLM features, copilots, or autonomous agents into customer-facing systems.
Security teams asked to assess AI risk without an established playbook for it.
What's included
Deliverables that do work.
Every engagement is scoped from these building blocks. Combine the ones you need.
AI Governance & Policy
Acceptable-use policy, vendor AI risk assessments, model inventory, and regulatory readiness that fits your existing security program.
Secure AI Adoption Roadmap
Use-case prioritization, data boundaries, approval workflows, and training so teams can adopt AI quickly without creating risk they do not understand.
Secure AI Architecture Review
Guardrails, output filtering, retrieval boundaries, privilege separation, and logging designed so failures are contained and visible.
Agentic AI Threat Modeling
Attack surface mapping for autonomous and multi-agent workflows: tools, memory, permissions, and the humans in the loop.
AI & LLM Security Testing
Targeted testing for prompt injection, data exfiltration, jailbreaks, and tool abuse against your real deployment, with reproducible findings and fixes.
AI Supply Chain & Containment
Model provenance, training data risk, dependency review, and containment playbooks for model compromise or data poisoning.
How it works
Four moves, start to finish.
Scope
Inventory the AI systems in play, the data they touch, and the decisions they influence. Agree on the risks that matter most.
Assess
Review governance, architecture, and controls against NIST AI RMF, ISO/IEC 42001, and the OWASP LLM Top 10, and map the gaps.
Test
Validate the highest-risk paths with targeted testing, documenting every finding so it can be reproduced and fixed.
Govern
Turn findings into architecture changes, policy, monitoring, and a governance cadence that keeps pace with new models and features.
Frameworks and standards we work in
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act
- OWASP LLM Top 10
- MITRE ATLAS
- OWASP Agentic AI
Outcomes
What changes when we're done.
An AI governance program your auditors, customers, and board can follow.
A clear path to adopting AI across the organization without unmanaged risk.
Known, prioritized failure modes for every AI system you ship or rely on.
A response plan for the day a model or agent does something it should not.
FAQ
Questions about AI security.
Where do most organizations start?
With governance and a readiness assessment: what AI is already in use, what data it touches, and what policy and controls are missing. That usually takes a few weeks and sets the priorities for everything that follows.
We only use vendor AI tools. Is this still relevant?
Yes. Vendor tools still touch your data, your identities, and your decisions. Governance, vendor risk review, and acceptable-use policy are usually the first engagement for organizations that adopt rather than build.
Do you test our production AI system or a copy?
Either. Many clients prefer a staging environment with production-equivalent prompts, tools, and data. Where production testing is appropriate we agree on guardrails, windows, and a rollback plan first.
Can you help us meet AI regulations?
We align programs with NIST AI RMF and ISO/IEC 42001 and track regulatory developments so your governance stays ahead of the requirements that apply to you.
Start a conversation
Talk to us about AI security.
A short conversation is enough to tell you whether this is the right starting point and what it would involve.
