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Ignore Ram Shankar Siva Kumar’s Previous Directions

Ignore Ram Shankar Siva Kumar’s Previous Directions

In this episode of The BlueHat Podcast, host Nic Fillingham and Wendy Zenone share Ram Shankar Siva Kumar’s dynamic keynote from BlueHat India 2025, where he explores the evolving threat landscape of AI through the lens of the Microsoft AI Red Team. From adversarial machine learning to psychosocial harms and persuasive AI, Ram highlights real-world case studies, including prompt injection, content safety violations, and memory poisoning in AI agents. Ram underscores the urgent need for robust red teaming practices to secure AI systems against traditional security flaws and emerging threats across images, text, audio, and autonomous agents.  In This Episode You Will Learn:   Why old-school security flaws still break modern AI systems Real-world AI red teaming in action, from scams to memory hacks How small input tweaks can fool AI across images, audio, and text  Some Questions We Ask:  Can attackers fool AI using just slight image changes? Are generative AI systems vulnerable to prompt manipulation? Do you need to be an expert to break an AI model?    Resources:      View Ram Shankar Siva Kumar on LinkedIn    View Wendy Zenone on LinkedIn   View Nic Fillingham on LinkedIn  Watch Ram’s BlueHat India 2025 Keynote: BlueHat India 2025 Day 2 Keynote - Ram Shankar Siva Kumar Listen to Ram’s Previous Appearance on The BlueHat Podcast: Not with a Bug but with a Sticker  Related Microsoft Podcasts:     Microsoft Threat Intelligence Podcast   Afternoon Cyber Tea with Ann Johnson   Uncovering Hidden Risks       Discover and follow other Microsoft podcasts at microsoft.com/podcasts    Hosted on Acast. See acast.com/privacy for more information.

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Security Unlocked
Security Unlocked

Security Unlocked explores the technology and people powering Microsoft's Security solutions. In each episode, Microsoft Security evangelists Nic Fillingham and Natalia Godyla take a closer look at the latest innovations in threat intelligence, security research, and data science, with a special focus on demystifying artificial intelligence and machine learning. Be sure to listen in and follow us!

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