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How to Safeguard Enterprises from Exploitation of AI Applications

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    Cover page of the report titled How to Safeguard Enterprises from Exploitation of AI Applications by Drew Robb, dated October 2024. The visual includes a digital shield symbol over a background of encrypted-looking characters, representing cybersecurity.
    Introduction and LLM Security Weaknesses section. Discusses the rapid adoption of generative AI, which outpaces cybersecurity implementation. Cites Splunk research and notes that threats often stem from prompt manipulation and misaligned model responses.
    Outlines the first four of OWASP’s top 10 AI-related threats: prompt injection, insecure output handling, model denial of service, and general vulnerabilities. Provides solutions such as monitoring usage, validating outputs, and reinforcing DDoS protectio
    Continues the OWASP top 10 threat list. Describes issues with excessive agency from plugins, supply chain vulnerabilities via third-party tools, and overreliance on AI. Emphasizes the importance of restricting plugin functionality, vetting add-ons, and re
Last Updated: April 16, 2025
Format: PDF

Understand the security risks of AI and make your organization safe with this comprehensive guide.

  • Knowledge Is Power — Learn about LLM security weaknesses, protection techniques, and more.

  • Insightful and Useful — This 10-page PDF can help protect your business.

  • Expertise and Evidence — Written by Drew Robb via 20 hours of research, writing, editing, and design.

This resource is available to download for $49 or for free with an annual TechRepublic Premium subscription — click here to learn more.

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