AI Security
Secure the AI systems you are already shipping
LLM applications, agents and MCP integrations introduce new attack surface: prompt injection, data exfiltration, tool abuse and supply-chain risks. We assess, threat-model and red-team AI systems against the OWASP Top 10 for LLM Applications and real adversary techniques.
What we deliver
LLM security assessment
Prompt injection testing
AI agent security review
MCP server & tool security
AI application threat modelling
AI red teaming
OWASP LLM Top 10 assessment
Outcomes you can expect
- Findings ranked by exploitability and business impact
- Reproducible attack evidence
- Mitigation design for guardrails, permissions and monitoring
- Executive-ready risk summary
How an engagement runs
- 01Discovery call & scoping
- 02Fixed-scope proposal
- 03Delivery by verified practitioners
- 04Report, handover & retest/adoption
Frequently asked
Is an AI security assessment different from a web app pentest?
Yes. It targets model behaviour, tool permissions, data flows and agent orchestration in addition to the traditional application layer.
Can you assess a system built on a third-party model?
Yes. Most assessments target applications built on hosted models (Claude, GPT, Gemini) or open models — the risk sits in how you integrate them.