The Developer's Playbook for Large Language Model Security: Building Secure AI Applications

CyberSecurity Summary

Offers an in-depth look at security concerns surrounding Large Language Models (LLMs), drawing heavily from "The Developer’s Playbook for Large Language Model Security" by Steve Wilson. It presents endorsements highlighting the book's importance for AI developers and security professionals due to the novel risks LLMs introduce. The text outlines various vulnerabilities like prompt injection, sensitive data leakage, and denial-of-wallet attacks, often illustrated with real-world examples such as Microsoft's Tay chatbot incident and the Equifax breach. Additionally, it provides mitigation strategies including zero-trust architectures, robust output filtering, and the use of tools like ML-BOMs for supply chain security. The sources emphasize the rapid evolution of AI capabilities driven by advancements in hardware and open-source models, underscoring the critical need for developers to adopt comprehensive security practices and responsible AI development frameworks like RAISE.
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