Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
OWASPowasp.orgOWASP is a volunteer-driven nonprofit that makes software security visible by providing accessible resources and guidance to individuals and organizations worldwide. It maintains flagship resources such as the OWASP Top Ten, ASVS, and Cheat Sheets, and supports open-source initiatives like CVE Lite CLI to help build secure software. It hosts global conferences and events (AppSec Days, LASCON, AppSec Israel, AppSec France, etc.) and offers membership, training, and corporate partnerships to fund and advance its mission.
Sources
owasp.org shapes more of what AI says about OWASP than any other source, at 24% of its citations.
genai.owasp.org · cheatsheetseries.owasp.org · github.com · arxiv.org
The market map
Authentication Service Platforms →Excerpts where OWASP appeared in the AI's answer
OWASP explicitly warns that prompt restrictions can be bypassed through prompt injection.
OWASP specifically warns against relying on prompts or the model itself for security controls.
Excerpts where OWASP appeared in the AI's answer
OWASP specifically recommends treating the LLM as an untrusted component and testing both direct and indirect injection paths.
OWASP specifically distinguishes direct injection (malicious user input) from indirect injection (malicious instructions embedded in webpages, documents, retrieved data, etc.).
Excerpts where OWASP appeared in the AI's answer
OWASP and NIST are converging on essentially this model: least privilege, explicit delegation, downstream authorization, human approval for high-impact actions, and verifiable auditability.
OWASP has specifically documented "lies-in-the-loop" attacks where agents manipulate approval dialogs to make dangerous actions appear benign.
Excerpts where OWASP appeared in the AI's answer
OWASP LLM Security Verification Standard (LLMSVS) — the best requirements baseline.
OWASP Prompt Injection Prevention Cheat Sheet — the best implementation guidance.
Excerpts where OWASP appeared in the AI's answer
OWASP specifically recommends these mitigations for embedded binaries.
OWASP specifically recommends protecting or disabling production debug interfaces and using hardware-enforced isolation where available.
Excerpts where OWASP appeared in the AI's answer
OWASP's current guidance, for example, recommends memory-hard password hashing such as Argon2id and has extensive guidance around authentication and session management.
Excerpts where OWASP appeared in the AI's answer
OWASP notes that automated security testing scales well, while manual testing is particularly valuable for high-risk components where business logic and context matter.
Excerpts where OWASP appeared in the AI's answer
OWASP identifies prompt injection, sensitive-information disclosure, supply-chain vulnerabilities and excessive agency among the key LLM risks
Excerpts where OWASP appeared in the AI's answer
OWASP's current LLM risk taxonomy includes prompt injection, sensitive-information disclosure, supply-chain/model poisoning, improper output handling, excessive agency, misinformation, and other application-level risks.
