AI / LLM / RAG / Agent Security Testing
Security testing for AI applications, LLM integrations, RAG pipelines, tools and agent-based systems.
What we test
Deep testing where context matters.
- Direct and indirect prompt injection
- Jailbreaks and guardrail bypass
- System prompt exposure
- RAG context poisoning and data leakage
- Agent and tool abuse
- Excessive agency
- Unsafe output handling
- AI supply-chain risks
Approach
From discovery to verified remediation.
Scope
We agree targets, accounts, environments, testing windows and rules of engagement before any technical testing begins.
Manual testing
Testers validate behaviour, abuse cases and attack paths that automated scanners cannot reason about.
Evidence
Findings are documented with reproducible evidence, real business impact and clear remediation guidance.
Retest
Remediation is rechecked within 30 days, so your team can close the loop with confidence.
What you receive
- An executive summary for leadership and the board
- A technical finding dossier with reproducible proof-of-concept steps
- An attestation of assessment letter for auditors and enterprise customers
- One retest within 30 days to verify remediation