Evaluate AI in vendors against the OWASP Top 10 for LLM. PromptArmor assesses all ten vulnerability classes — from prompt injection to unbounded consumption — across every vendor in your portfolio.
User or environmental inputs alter LLM behavior in unintended ways. PromptArmor identifies which vendor AI systems are susceptible to direct and indirect prompt injection, including cross-context injection from connected data sources.
LLMs expose PII, financial data, health records, or proprietary credentials through outputs. PromptArmor assesses vendor data handling policies and output controls to flag where sensitive information can surface.
Third-party models, datasets, or fine-tuning pipelines introduce integrity risk. PromptArmor surfaces vendor model provenance — including base model sources, third-party integrations, and training data lineage.
Adversarial manipulation during pre-training, fine-tuning, or embedding stages corrupts model behavior. PromptArmor flags vendors that train on user data by default and documents the scope of that training exposure.
Insufficient validation or sanitization of LLM outputs creates downstream injection risks. PromptArmor evaluates vendor output handling controls and identifies gaps in downstream data processing.
LLMs granted broad function-calling or agentic capabilities act beyond intended scope. PromptArmor identifies which vendor AI systems operate with agentic permissions and what external systems those agents can access.
Vendor system prompts containing sensitive configuration or business logic are exposed through outputs. PromptArmor tests vendor AI for prompt leakage vectors and documents confidentiality controls.
RAG implementations introduce vulnerabilities through untrusted retrieval sources or weak similarity thresholds. PromptArmor evaluates vendor RAG architecture and retrieval scope for exploitable embedding weaknesses.
Hallucinated or misleading LLM outputs are presented as factual. PromptArmor documents vendor grounding controls, citation practices, and confidence signaling to surface misinformation risk.
Uncontrolled inference requests lead to denial of service or runaway resource costs. PromptArmor assesses vendor rate limiting, quota controls, and resource governance policies.
Every PromptArmor vendor report maps findings across all 10 OWASP LLM categories and surfaces where your vendors carry the most exposure.
Book a DemoPromptArmor maps OWASP Top 10 for LLM findings to every vendor in your ecosystem — with continuous monitoring to detect when risk profiles change as vendors update their AI.
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OWASP categories covered
10,000+
Vendors assessed
OWASP, NIST, MITRE
Frameworks mapped
75%
Review time reduction
See how PromptArmor gives your security team complete OWASP LLM coverage across your entire vendor portfolio.
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