Episode SummaryIn this episode, AI architect and security researcher Disesdi Susanna Cox explains the vast and complex attack surface of AI systems, highlighting the need for new security approaches like purple teaming and MLSecOps. Her insights help security leaders understand the unique risks and ethical challenges of AI, making this a must-listen for anyone responsible for securing modern AI-driven organizations.SponsorsThank you to our sponsors who make this show possible.→ Hampton North. Hampton North is the premium US based cybersecurity search firm.→ Sysdig. Secure the cloud the right way with agentic AI.About the GuestDisesdi Susanna Cox is an AI architect, patent holder, and consulting security researcher recognized for her work with the OWASP AI Exchange. Her frameworks and research have been adopted globally to help organizations understand and address the evolving security landscape in AI. Connect with Susanna to follow her latest insights and contributions:LinkedIn: https://www.linkedin.com/in/disesdi/Newsletter: https://disesdi.substack.com/OWASP AI Exchange: https://owasp.org/www-project-ai-exchange/Episode Breakdown00:00 Navigating the AI Security Landscape03:30 Understanding Adversarial Attacks in AI06:06 The Importance of Purple Teaming in AI Security08:49 Establishing MLSecOps for AI Systems11:40 The Role of Chief AI Security Officer13:03 Ethics and Risks of AI in Decision Making26:07 The Future of Red Teaming in AI Security35:33 Intro Long - Final.mp4Referenced ResourcesOWASP AI ExchangeDisesdi Substack: The Adversarial Subspace ProblemDO-178C (Guidance for Aerospace Software)Subscribe & ShareIf you found this episode useful, please share it and subscribe!→ Apple Podcasts→ Spotify.→ YouTube→ WebsiteFollow You Hosts:→ Conor Sherman: LinkedIn→ Stuart Mitchell: LinkedIn
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