In this episode of The MLSecOps Podcast, special guest, Sandy Dunn, joins us to discuss the dynamic world of large language models (LLMs) and the equilibrium of innovation and security. Co-hosts, Daryan “D” Dehghanpisheh and Dan McInerney talk with Sandy about the nuanced challenges organizations face in managing LLMs while mitigating AI risks.

Exploring the swift pace of innovation juxtaposed with the imperative of maintaining robust security measures, the trio examines the critical need for organizations to adapt their security posture management to include considerations for AI usage.

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Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform