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About owasp.org (Academic)
This page provides details about owasp.org (Academic) which was ranked #30 out of 266 in the list of sources (5 citations (1% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 3 questions: "What are the proven best practices and strategies experts use for AI Tools for Marketers?", "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. This source is referenced for brands: OpenAI, Microsoft, OWASP Top 10 for LLM Applications.
Used by AI Models
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Pages from owasp.org (1 link)
| URL Path | Citations | Position |
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| /www-project-top-10-for-large-language-model-applications | 5 | 65 |
Brands Referenced By This Website (3 brands)
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9.7% | 23 |
| OWASP Top 10 for LLM Applications | 0.8% | 3 |
Citations from AI Responses
OpenAI ChatGPT Latest
(5 citations)
What are the proven best practices and strategies experts use for AI Tools for Marketers?
[...] rdrails - Adopt an AI risk framework; define roles, approvals, and audit trails. NIST AI Risk Management Framework [https://www.nist.gov/ai/risk-management](https://www.nist.gov/ai/risk-management) - Security and prompt-injection defenses for marketing agents and chatbots: OWASP Top 10 for LLM Apps [https://owasp.org/www-project-top-10-for-large-language-model-applications/](https://owasp.org/www-project-top-10-for-large-language-model-applications/), Microsoft prompt injection guidance [https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections) - Copyright and disclosure - Ensure human review, substantiation of claims, and righ [...]
[...] te [https://www.hootsuite.com](https://www.hootsuite.com), Sprout Social [https://sproutsocial.com](https://sproutsocial.com) - Site/chat: RAG chatbot grounded in product catalog/KB with guardrails and analytics; strict prompt-injection mitigation; clear agent-to-human handoff. - OWASP LLM Top 10 [https://owasp.org/www-project-top-10-for-large-language-model-applications/](https://owasp.org/www-project-top-10-for-large-language-model-applications/), Microsoft prompt injection guidance [https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections) Compliance and platform policy references (commonly needed) - Google Search helpful, [...]
What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?
[...] rinciples/) - 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 approved AI catalog, set usage and retention policies, and train teams. Map risks [...]
What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?
[...] e (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: - Microsoft Learn – Copilot for Microsoft 365 (hands-on adoption/training resources adaptable to other tools) (https://learn.microsoft.com [...]
[...] s), 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 week one. [...]