OWASP LLM security assessment
OWASP LLM Security Assessment for GenAI Applications
An OWASP-informed LLM security assessment helps security and AI engineering teams evaluate the application-level risks that emerge when language models accept untrusted input, access data, call tools, and generate output for people or systems to use.
LLM security is more than prompt filtering
Prompt injection, sensitive-data exposure, insecure output handling, excessive agency, and supply-chain dependencies each require different controls. Effective review connects those technical risks with identity, data governance, monitoring, and response practices.
What to examine
- Test prompt, retrieval, output, and tool-use pathways as connected attack surfaces.
- Limit data access and agent permissions to what each use case actually needs.
- Monitor harmful behavior and establish clear containment and escalation paths.
Apply technical guidance in a broader program
OWASP LLM guidance is valuable for application and runtime threat analysis. A broader AI security assessment helps leaders connect those findings to governance, vendor oversight, ownership, and remediation priorities across the full AI lifecycle.
- 01
Map user inputs, instructions, retrieved context, tools, and downstream actions.
- 02
Validate safeguards against injection, unsafe output, data leakage, and excessive agency.
- 03
Record gaps with owners and integrate them into the broader AI risk backlog.
Questions security leaders ask
What should an OWASP LLM security assessment test?
It should examine how the application handles prompts, untrusted content, retrieved data, outputs, tool calls, model or component dependencies, logging, and response to misuse.
Does OWASP guidance replace AI governance?
No. OWASP guidance sharpens application-level security work. Governance, inventory, vendor review, data practices, and accountability remain essential around that technical core.
Is SecureAIScore endorsed by OWASP?
No. SecureAIScore is not endorsed by OWASP. The assessment can help teams consider relevant OWASP LLM and GenAI security guidance alongside broader program controls.
Continue the research
AI Security Hub: Assessment Guide
Understand the evidence, control areas, and outputs of a disciplined AI security review.
SecureAIScore Research Center
Explore framework analysis, market guidance, and technical research for enterprise teams.
OWASP GenAI and LLM Guide
Explore application-level LLM risks and how they fit into a broader assessment.
Turn your review into a prioritized baseline
Use the free SecureAIScore assessment to record your current controls, identify gaps, and give the right owners a practical next step.
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