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About OWASP Top 10 for LLM Applications (event)
This page provides details about OWASP Top 10 for LLM Applications (event) which was ranked #43 out of 183 in the list of brands (3 mentions (0.8% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 2 questions: "What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?", "What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch.
Mentions by AI Model
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Citations from AI Responses
What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?
[...] (https://ai.google/responsibility/principles/) - Mistake 9: Ignoring security risks (prompt injection, data exfiltration) How to avoid: Treat prompts as an attack surface. Use input/output filters, allow‑lists for tools/connectors, content scanning, and isolation for external content. Sources: OWASP Top 10 for LLM Applications (https://owasp.org/www-project-top-10-for-large-language-model-applications/), UK NCSC – Prompt injection attacks against LLMs (https://www.ncsc.gov.uk/blog-post/prompt-injection-attacks-against-llms) - Mistake 10: Tool sprawl and “shadow AI” How to avoid: Centralize procurement, create an appro [...]
What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?
[...] uccess criteria and measurement. Compare time saved, quality, and downstream performance (e.g., click or conversion lift) against a baseline; keep a human-in-the-loop for review; document findings: - OpenAI Evals (example frameworks for systematic evaluation) (https://github.com/openai/evals) - OWASP Top 10 for LLM Applications (use as a quick risk/abuse checklist during pilots) (https://owasp.org/www-project-top-10-for-large-language-model-applications/) - Upskill the team and name an internal AI champion. Provide short, role-based training; publish internal SOPs/playbooks; capture good prompts and examples: - Microso [...]
[...] vern. When a pilot meets your thresholds, templatize the workflow, add guardrails (policy + reviews), and expand to adjacent use cases. Revisit risk and performance regularly: - NIST AI RMF (operationalizes risk, governance, measurement) (https://www.nist.gov/itl/ai-risk-management-framework) - OWASP Top 10 for LLM Applications (keep security considerations front-and-center as usage grows) (https://owasp.org/www-project-top-10-for-large-language-model-applications/) If you share your specific marketing goals and current stack, I can help you pick 2–3 pilot use cases and draft prompt templates and measurement plans for we [...]