Security for AI agents & LLM systems
AI agents increasingly act autonomously — with tool access, memory and connections to your systems via protocols such as MCP. This creates attack surfaces that conventional security testing does not cover. VamiSec assesses, hardens and governs your AI systems across their entire lifecycle.
From the offensive testing of agentic systems through MCP Security and Threat Modeling to transparency across the AI supply chain: our Agentic AI Security services interlock and are guided by established frameworks such as the OWASP projects for GenAI and agentic applications, MITRE ATLAS and the NIST AI Risk Management Framework.
Our services
Six coordinated building blocks — bookable individually or as an end-to-end program.
Agentic AI Pentesting
Offensive security testing of autonomous AI agents: we test tool access, memory, orchestration and guardrails against real-world attack scenarios — following the OWASP methodology for agentic applications.
Learn moreMCP Security
Securing Model Context Protocol deployments: assessment, server pentest, Threat Modeling and Governance for the interfaces through which AI agents access tools and data.
Learn moreADR — Detection & Response
Runtime detection and response for AI agents: telemetry across prompts, tool calls and agent identities, detection use cases against goal hijacking and more, and rehearsed response playbooks — integrated with your SOC.
Learn moreAgent Skills Security
Assessment and hardening of Agent Skills and Progressive Disclosure mechanisms — against compromised capabilities, tool misuse and the OWASP Agentic Skills Top 10.
Learn moreSBOM for AI
Transparency across the AI supply chain: capturing models, datasets, libraries and dependencies as an AI-Bill-of-Materials — the foundation for Governance and evidence requirements.
Learn moreAI Threat Modeling (MAESTRO)
Systematic threat modeling for AI and agent systems following MAESTRO — identifying attack paths before they reach production.
Learn moreMCP Threat Modeling
Threat modeling built specifically for MCP landscapes: STRIDE, MAESTRO and the OWASP MCP Top 10 combined into one dependable threat map.
Learn moreAutomated Threat Modeling
Diagram-as-Code and automated analysis embed Threat Modeling directly into your development process — reproducible and scalable.
Learn moreDeepen your knowledge
In our knowledge section you will find well-founded deep dives on MCP Security, the OWASP standards, Zero Trust for AI agents and AI security frameworks — with verified sources.
Are you deploying AI agents? Then secure them.
In a no-obligation initial consultation we assess your AI landscape and show which testing and hardening building blocks deliver the greatest leverage for you.
Schedule an initial consultation