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Liran Tal: How to Secure Your Apps and AI Agents

ConTejas Code

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Securing Large Language Models: Challenges and Solutions

This chapter explores the ethical and security challenges posed by large language models (LLMs) in generating code, particularly focusing on vulnerabilities like injection attacks and cross-site scripting. It highlights the need for robust security measures and frameworks to safeguard against the risks of malicious code stemming from LLMs, while discussing real-world implications and strategies for validating AI-generated code. The conversation emphasizes the importance of integrating security tools and maintaining oversight to ensure the safe deployment of AI-driven applications.

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