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The MLSecOps Podcast - AI Governance Essentials: Empowering Procurement Teams to Navigate AI Risk

AI Governance Essentials: Empowering Procurement Teams to Navigate AI Risk

11/07/24 • 37 min

The MLSecOps Podcast

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Full transcript with links to resources available at https://mlsecops.com/podcast/ai-governance-essentials-empowering-procurement-teams-to-navigate-ai-risk.
In this episode of the MLSecOps Podcast, Charlie McCarthy from Protect AI sits down with Dr. Cari Miller to discuss the evolving landscapes of AI procurement and governance. Dr. Miller shares insights from her work with the AI Procurement Lab and ForHumanity, delving into the essential frameworks and strategies needed to mitigate risks in AI acquisitions. They cover the AI Procurement Risk Management Framework, practical ways to ensure transparency and accountability, and how the September 2024 OMB Memo M-24-18 is guiding AI acquisition in government. Dr. Miller also emphasizes the importance of cross-functional collaboration and AI literacy to support responsible AI procurement and deployment in organizations of all types.

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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Full transcript with links to resources available at https://mlsecops.com/podcast/ai-governance-essentials-empowering-procurement-teams-to-navigate-ai-risk.
In this episode of the MLSecOps Podcast, Charlie McCarthy from Protect AI sits down with Dr. Cari Miller to discuss the evolving landscapes of AI procurement and governance. Dr. Miller shares insights from her work with the AI Procurement Lab and ForHumanity, delving into the essential frameworks and strategies needed to mitigate risks in AI acquisitions. They cover the AI Procurement Risk Management Framework, practical ways to ensure transparency and accountability, and how the September 2024 OMB Memo M-24-18 is guiding AI acquisition in government. Dr. Miller also emphasizes the importance of cross-functional collaboration and AI literacy to support responsible AI procurement and deployment in organizations of all types.

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

Previous Episode

undefined - Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

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In this episode of the MLSecOps Podcast, Distinguished Engineer Nicole Nichols from Palo Alto Networks joins host and Machine Learning Scientist Mehrin Kiani to explore critical challenges in AI and cybersecurity. Nicole shares her unique journey from mechanical engineering to AI security, her thoughts on the importance of clear AI vocabularies, and the significance of bridging disciplines in securing complex systems. They dive into the nuanced definitions of AI fairness and safety, examine emerging threats like LLM backdoors, and discuss the rapidly evolving impact of autonomous AI agents on cybersecurity defense. Nicole’s insights offer a fresh perspective on the future of AI-driven security, teamwork, and the growth mindset essential for professionals in this field.

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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undefined - AI Security: Vulnerability Detection and Hidden Model File Risks

AI Security: Vulnerability Detection and Hidden Model File Risks

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In this episode of the MLSecOps Podcast, the team dives into the transformative potential of Vulnhuntr: zero shot vulnerability discovery using LLMs. Madison Vorbrich hosts Dan McInerney and Marcello Salvati to discuss Vulnhuntr’s ability to autonomously identify vulnerabilities, including zero-days, using large language models (LLMs) like Claude. They explore the evolution of AI tools for security, the gap between traditional and AI-based static code analysis, and how Vulnhuntr enables both developers and security teams to proactively safeguard their projects. The conversation also highlights Protect AI’s bug bounty platform, huntr.com, and its expansion into model file vulnerabilities (MFVs), emphasizing the critical need to secure AI supply chains and systems.

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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