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

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Ignore Ram Shankar Siva Kumar’s Previous Directions