AI Security Services

Security review for systems
that act on their own

We help enterprises adopt GenAI, RAG, and agentic systems without inheriting the risks that come with them — through rigorous threat modeling, architecture review, and secure-by-design guidance.

What we do

AI systems that act, retrieve, and decide need to be secured by design, not audited after the fact. Most GenAI and agentic deployments are shipped faster than the threat models that should govern them — that gap is what we close.

Two services, one discipline

We work with engineering and security teams adopting GenAI, RAG, and agentic systems — reviewing what's being built, and helping architect what comes next.

01

Threat Modeling & Security Architecture Review

For GenAI, RAG, and agentic systems — structured around STRIDE and MITRE ATLAS, mapped to the OWASP Top 10 for LLM Applications and the OWASP Agentic AI (ASI) framework.

  • Application-layer risk: prompt injection, jailbreaking, excessive agency, insecure tool/plugin permissions, model context data exfiltration, and RAG/vector store poisoning.
  • Agent identity & control: least-privilege tool access, human-in-the-loop approval gates — code-enforced vs. prompt-level — audit trails, and kill-switch/escalation controls for autonomous and multi-agent systems.

02

Secure-by-Design Support

Helping clients build it securely from the outset, not retrofit security after launch.

  • Patterns & decisions: secure-by-design patterns and Architecture Decision Records (ADRs) for enterprise GenAI/LLM adoption.
  • Reference architectures: trust boundary modeling, data governance, and applied AI risk frameworks, tailored to the client's existing stack and controls.

Built for teams shipping real AI systems

Notes from the field

We publish write-ups on AI/LLM threat modeling, agentic system risk, and secure-by-design practice as work is completed. All available on our Substack.

ChakraSec Research — Substack

AI security architecture notes, threat modeling write-ups, and field observations from our engagements.

Get in touch

If your team is building with GenAI, RAG, or agentic systems and wants a second set of eyes on the architecture, we'd like to hear from you.

hv@chakra.group →