01
Prompt Injection
Direct and indirect injection, instruction override and context leakage.
ai & llm security
AI & LLM Security,
AI & LLM Security,
Secure the new attack surface.
Test and harden AI-powered products against the threats that traditional testing misses.
what it is
AI and LLM features introduce an attack surface most testing never touches. A model can be tricked into ignoring its instructions, leaking data, or taking actions it should not. I test for those failure modes the way an attacker would probe them.
Aligned to the OWASP Top 10 for LLM Applications and MITRE ATLAS.
what is included
Scope of the engagement.
02
Jailbreaks & Abuse
Guardrail bypass, unsafe output and tool/agent abuse.
03
Data Exposure
Training-data, system-prompt and sensitive-output leakage.
04
App Integration
How the model is wired into your app, auth and actions.
what you receive
Clear deliverables.
01
Executive summaryRisk in business terms your leadership can read in five minutes.
02
Technical detailFindings with evidence and clear severity, where applicable.
03
Remediation roadmapPrioritised, actionable next steps your team can run with.
04
Follow-upRetest or review to confirm the work landed.
// owasp llm top 10
The ten risks we test against
01
Prompt Injection
02
Insecure Output Handling
03
Training Data Poisoning
04
Model Denial of Service
05
Supply Chain
06
Sensitive Info Disclosure
07
Insecure Plugin Design
08
Excessive Agency
09
Overreliance
10
Model Theft
Ready to start?
Send a short request, and I will help shape the right scope on the first call.