OWASP LLM Top 10 Assessment.
Test your deployed LLM applications and agents against every risk in the OWASP LLM Top 10.
The problem
The OWASP Top 10 for LLM Applications is the reference your auditors, enterprise customers, and security reviewers already use to ask whether an AI feature is safe to ship. Most teams have never tested against it directly.
This assessment runs that test. It exercises each of the ten risk categories against your live applications and agents, then reports findings in the same framework the people reviewing you expect.
The ten risks tested
Crafted input that overrides instructions or redirects model behavior.
Model output that leaks training data, secrets, or confidential records.
Risk introduced through third-party models, datasets, and components.
Manipulated training or fine-tuning data that corrupts model behavior.
Model output passed downstream without validation, encoding, or sanitization.
Agents granted more tools, permissions, or autonomy than the task requires.
Exposure of system prompts that reveal logic, controls, or credentials.
Flaws in retrieval and embedding pipelines that leak or poison context.
Confident, incorrect output relied on without grounding or verification.
Uncontrolled inference that drives cost, denial of service, or model extraction.
What’s included
What you get
Who this is for
Where this leads
The OWASP LLM Top 10 Assessment is the assessment phase of the AI Security & Hardening engagement. When you want the findings closed rather than documented, the hardening phase deploys enforced policy, tool allowlists, and output controls against them.
FAQ
An industry-standard list of the ten most critical security risks in applications built on large language models, maintained by OWASP. It covers prompt injection, sensitive information disclosure, supply chain risk, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption.
This is a focused, fixed-fee assessment scoped to the OWASP LLM Top 10. It produces a findings report and remediation guidance. The AI Security and Hardening engagement adds a hardening phase that deploys enforced controls to close the findings.
Yes. Agentic systems are in scope. Excessive agency, tool and MCP permissions, and the blast radius of connected tools are tested directly, alongside prompt-layer and output-handling risks.
Two to three weeks on a fixed-fee structure, depending on the number of applications and agents in scope. A 30-minute scoping call sets the boundaries before the assessment begins.
Book a 30-minute call to scope an OWASP LLM Top 10 assessment for your applications.