AI Security & Governance

LLM Security & Red Teaming

We test your LLMs against prompt injection, data leakage, and abuse scenarios.

We run specialised adversarial testing on your AI applications to uncover flaws such as prompt injection, guardrail bypass, and sensitive-data leakage. Realistic abuse scenarios are simulated to gauge how well your safety controls hold up. You receive a severity-ranked findings report with practical, immediately actionable remediation guidance.

How we deliver it

01

Scoping session

We map your environment and obligations, then fix the boundaries.

02

Documented execution

A declared methodology with pre-agreed deliverables.

03

Evidence handover

A report and evidence fit for both the auditor and the board.