AI Agent Security Testing

Prevent goal and behaviour hijacking

Malicious instructions can redirect an agent away from its intended objective. We test direct prompts, retrieved content, tool responses and agent-to-agent messages that may influence its decisions.

Control tool misuse

A legitimate tool can still be used in an unsafe way. We assess whether the agent can be persuaded to misuse search, messaging, file, database, payment or administrative functions.

Reduce identity and privilege abuse

Agents often act through service accounts, delegated user access or long-lived credentials. We test whether identity boundaries and least-privilege controls limit what the agent can do.

Protect memory and context

Persistent memory can allow a one-off malicious instruction to influence future tasks. We assess whether memory, task state and shared context can be poisoned or read by the wrong party.

Test connectors and the agentic supply chain

Agents depend on models, plugins, tools, model context protocol servers and other runtime components. We assess whether compromised or untrusted components can alter behaviour or extend access.

Check approval, rollback and failure controls

High-impact actions should have proportionate checks. We test whether approvals can be bypassed, whether actions are traceable and whether the system can recover safely from unexpected behaviour.