Context teams can use
Validated evidence, business impact and practical guidance stay attached to the finding.
AI & LLM security testing
Test AI systems as applications, data flows and decision engines.
Assess prompt, retrieval, authorization, agentic and integration risks across AI-enabled applications and their surrounding systems.
DiscoverValidateRemediateAssure
THE CHALLENGE
Turn security findings into measurable progress.
AI risk extends beyond prompt injection. Data boundaries, tool permissions, retrieval, identity and downstream integrations determine real impact.
How Vulnetra approaches it
Use adversarial testing tailored to model behavior, RAG architecture, tool access and business context, aligned with applicable OWASP GenAI guidance.
- Prompt injection
- Sensitive data leakage
- RAG manipulation
- Authorization boundaries
- Unsafe tool invocation
- Agentic workflow abuse
CONNECTED OUTCOMES
Designed around what happens next.
Every stage preserves context for the next team, decision and proof point.
Ownership made visible
Security and engineering can follow status, discussion and remediation without fragmented handoffs.
Closure backed by evidence
Revalidation results and assessment history provide a defensible record of what changed.
TEST. VALIDATE. FIX. PROVE.
Move from assessment
to verified closure.
See how the lifecycle fits your security program.