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Risk Management and Enhanced Security Practices for AI Systems

Risk Management and Enhanced Security Practices for AI Systems

Update: 2024-02-06
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In this episode of The MLSecOps Podcast, VP Security and Field CISO of Databricks, Omar Khawaja, joins the CISO of Protect AI, Diana Kelley. Together, Diana and Omar discuss a new framework for understanding AI risks, fostering a security-minded culture around AI, building the MLSecOps dream team, and some of the challenges that Chief Information Security Officers (CISOs) and other business leaders face when assessing the risk to their AI/ML systems.

Get the scoop on Databricks’ new AI Security Framework on The MLSecOps Podcast. To learn more about the framework, contact cybersecurity@databricks.com.

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.

Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

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Risk Management and Enhanced Security Practices for AI Systems

Risk Management and Enhanced Security Practices for AI Systems

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