AI & LLM Agent Security Testing
AI agents now act with real permissions, call real tools and read untrusted data — a powerful new attack surface most security programs don't cover. We specialize in testing LLM-powered and agentic systems end to end, from prompt injection to full tool-chain and supply-chain compromise.
AI Agent Penetration Testing
AI agent penetration testing in Cyprus. Tool-abuse, goal-hijack and sandbox-escape testing for Cyprus companies deploying autonomous AI.
./open →Prompt Injection Testing
Prompt injection testing in Cyprus. Direct and indirect injection testing across every untrusted input for Cyprus AI products.
./open →LLM Jailbreak & Guardrail Testing
LLM jailbreak and guardrail testing in Cyprus. Systematic safety-control and content-filter bypass testing for Cyprus AI products.
./open →RAG Pipeline Security Assessment
RAG security assessment in Cyprus. Vector-store poisoning, leakage and access-control testing for Cyprus AI knowledge-base products.
./open →MCP Server & Tool-Chain Security Testing
MCP server security testing in Cyprus. Tool-schema, confused-deputy and credential-scope testing for Cyprus AI tool-chains.
./open →AI Supply Chain Security Audit
AI supply chain security audit in Cyprus. Model provenance, plugin and dataset-integrity review for Cyprus AI and ML teams.
./open →LLM Application Penetration Testing
LLM application penetration testing in Cyprus. Full-stack testing of AI apps against the OWASP LLM Top 10 for Cyprus businesses.
./open →Agentic AI Threat Modeling
Agentic AI threat modeling in Cyprus. Design-phase security analysis of autonomous AI workflows for Cyprus product teams.
./open →What AI and LLM security testing covers
AI agent penetration testing attacks autonomous, tool-using systems. Prompt injection testing probes every untrusted input path. Jailbreak and guardrail testing evaluates your safety controls. RAG pipeline security covers poisoning and leakage. MCP server testing treats tool integrations as privileged attack surface. AI supply-chain audits review models and datasets, LLM application testing covers the whole stack, and agentic AI threat modeling secures systems by design.
Why AI agent security matters
Unlike a chatbot that only returns text, an AI agent takes real actions — it browses, runs code and calls APIs with its own permissions. The moment it ingests attacker-controlled text, prompt injection becomes a control channel. Prompt injection is the number-one risk in the OWASP LLM Top 10, and for Cyprus firms deploying AI with access to customer or financial data, testing this surface is now a baseline requirement.
How to choose the right service
Shipping an autonomous agent? Start with AI agent penetration testing and prompt injection testing. Retrieving from a knowledge base? Add a RAG security assessment. Exposing tools via MCP? You need MCP server testing. Public-facing generative features? Jailbreak and guardrail testing protects your brand. Still designing? Agentic AI threat modeling removes whole risk classes early.
Frequently asked questions
What makes AI agents harder to secure?
Which models do you test?
Which frameworks do you align to?
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