What AI says about OWASP
AI summary
OWASP is a volunteer-driven nonprofit that provides resources, guidance, and open-source initiatives to improve software security worldwide.
AI named OWASP from October 2025 to October 2026.
Questions and answers
- AI picks most
- How do we test our AI app for prompt injection and jailbreak risks?AI picks NVIDIA Garak and 3 more about as often
Excerpts where OWASP appeared in the AI's answer
ChatGPT SearchSep 27, 2026, ChatGPT Search OWASP currently distinguishes direct prompt injection, indirect injection, jailbreaks, data exfiltration, RAG poisoning, multimodal attacks, and agent/tool abuse.
ChatGPT SearchSep 19, 2026, ChatGPT Search OWASP recommends testing repeated variants because LLM behavior can vary.
- Our company is worried about prompt injection against agents browsing the web. What defenses are available?AI picks OWASP most
Excerpts where OWASP appeared in the AI's answer
Google AI ModeSep 28, 2026, Google AI Mode Implement egress filtering and output monitoring (using tools like OWASP Top 10 for LLM guidance or commercial LLM firewalls)
ChatGPT SearchSep 28, 2026, ChatGPT Search OWASP specifically recommends segregating external content from instructions rather than trusting the model to make the distinction itself.
- For a fintech launching a customer-facing chatbot, how do we keep it from leaking sensitive data?AI picks OWASP and 6 more about as often
- How do I secure and monitor what autonomous AI agents are allowed to do?AI picks OWASP and 2 more about as often
Excerpts where OWASP appeared in the AI's answer
ChatGPT SearchSep 27, 2026, ChatGPT Search NIST and OWASP both emphasize identity, least privilege, backend authorization, auditing, and controls around high-impact actions.
ChatGPT SearchSep 19, 2026, ChatGPT Search OWASP recommends logging decisions, tool calls and outcomes, combined with anomaly detection and alerts.
- What’s the best requirements pack for secure LLM feature design?AI picks OWASP most
- How do we evaluate an LLM for bias and safety before deploying it?AI picks TruthfulQA and 5 more about as often
Excerpts where OWASP appeared in the AI's answer
ChatGPT SearchSep 28, 2026, ChatGPT Search OWASP's 2025 LLM risk taxonomy specifically highlights prompt injection, sensitive-information disclosure, supply-chain risks, data/model poisoning, and improper output handling, among others.
ChatGPT SearchSep 16, 2026, ChatGPT Search OWASP's current 2026 LLM guidance covers these application-security risks.
OWASP in AI’s own words
Question: Which regex generation tools are best suited for enterprise teams that need to ensure their patterns are optimized and secure?
ChatGPT SearchOct 20, 2026
OWASP ReDoS guidance — useful for designing security reviews and adversarial test cases.
ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)Google AI ModeAsk Google AI Mode yourself (opens in a new tab)
Question: Our company is worried about prompt injection against agents browsing the web. What defenses are available?
Google AI ModeSep 28, 2026
Implement egress filtering and output monitoring (using tools like OWASP Top 10 for LLM guidance or commercial LLM firewalls)
Google AI ModeAsk Google AI Mode yourself (opens in a new tab)ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)
Question: I need to implement user authentication. Is it better for a back-end developer to build it from scratch or use a dedicated authentication service?
ChatGPT SearchOct 12, 2026
OWASP recommends using built-in session-management implementations rather than homemade ones.
ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)Google AI ModeAsk Google AI Mode yourself (opens in a new tab)
Competitors
AI named OWASP most often alongside Microsoft, Snyk, and OWASP GenAI Security Project.
Sources AI cites
AI cited owasp.org in these answers, after genai.owasp.org and cheatsheetseries.owasp.org.
owasp.org 7%Other sites 93%
Markets
- Software Supply Chain Security Platforms
- Privileged Access Management Software
- Tech Career Bootcamps & Certifications
- AI Red Teaming & Pen Testing
- AI-Powered Code Review & SAST Tools
- AI Red Teaming Services
- CI/CD Application Security Scanning Tools
- LLM Firewall and Guardrail Platforms
- API Documentation & Developer Portal Platforms
- Security Validation and Red Teaming Platforms
- Secrets and Key Management Platforms
- AI Code Quality & Review Platforms
