AI / LLM Security
We test the models and agents you ship, hunting the prompt injections, tool-calling abuse, and boundary escapes that let attackers steer your AI.
Generative AI moves fast, and the attack surface moves with it. Prompt injection, jailbreaks, indirect injection through retrieval, and tool-calling abuse all let attackers turn your own model and agents against you.
Our AI security assessments map your LLM architecture end to end, from the model and its system prompts to the retrieval pipeline, the tools it calls, and the agents that act on your behalf. We test the abuse cases that matter, then ship clear remediation guidance your engineers can act on.
Threat model
Map the model, tools, and data flows an attacker can reach.
Recon
Enumerate the endpoints, prompts, and agent capabilities exposed to users.
Adversarial testing
Run injection, jailbreak, and tool-abuse campaigns against the live system.
Chain abuse
Verify what a compromised prompt or tool call can pivot into.
Report
Prioritized findings with reproduction steps and concrete fixes.
Continuous coverage. Expert-led pentests.
Move from once-a-year snapshots to a live security posture. Book a scoping call and we'll quote your first engagement within 48 hours.