AI Security
Secure AI-powered products end to end — model, application, and agents.
A program to secure AI-powered products end to end — across the model, the application around it, and the agents and tools it can invoke. Combines LLM penetration testing, AI red teaming, and AI risk assessment with QA-reviewed, evidence-backed findings.
Scope, evidence and next steps.
Agreed testing scope
Coverage across model, app, and agents.
Evidence-backed findings
Prompt-injection and misuse testing with evidence.
Engagement workspace
AI findings tracked in one place.
Remediation and retests
Retests under agreed terms.
The testing behind this solution.
This program draws on our certified bench across these services.
AI & LLM Penetration Testing
Security testing for LLM-powered features — prompt injection, data leakage, and model abuse, aligned to the OWASP LLM Top 10.
AI Red Teaming
Adversarial testing of AI systems against misuse, jailbreaks, and harmful-output scenarios.
AI Agent Security Testing
Testing autonomous and tool-using agents for unsafe actions and privilege abuse.
AI Risk Assessment
Structured review of AI system risk across data, model, and deployment — mapped to frameworks.
AI Security — questions buyers ask.
What kinds of AI systems do you test?
LLM-powered features, retrieval (RAG) systems, and autonomous or tool-using agents — covering prompt injection, data leakage, and unsafe actions, aligned to the OWASP LLM Top 10.
How is this different from your AI services?
The AI Security program ties the individual AI services — LLM pentesting, AI red teaming, and AI risk assessment — into one outcome-focused engagement for your product.
Do you test guardrails and agents?
Yes — we test guardrail bypasses, jailbreaks, excessive agency, and tool-invocation abuse, with retests under agreed terms.
Prove what an attacker could actually do.
A short scoping call, no obligation.