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Generative AI, LLMs, and open source machine learning models provide a competitive edge for development teams and enterprises at large. Gartner has predicted that by 2025, 70% of enterprises will have operationalized AI architectures. However, with this adoption comes novel threat vectors within the software supply chain, affecting both software producers and enterprise software buyers.
Our guest speaker, Vis Chirravuri, Software Security Director at Thales, joined RL's Joe Coletta and outlined considerations that organizations must take when integrating AI into the software they build and buy. They also discuss how to safeguard against threats that can be exploited by AI.
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✓ The adoption of developer AI copilots and open source ML models and how they can be a vehicle for malware, tampering, and malicious behaviors
✓ How to remove the barriers to adopting advanced AI/ML capabilities without sacrificing due diligence
✓ How to minimize your exposure to AI-powered software exploits
✓ A high-level framework covering the different dimensions of securing machine learning