Can Generative AI Be Secured? Amazon's Chief Security Officer Weighs In

In this episode of Eye on AI, Amazon's Chief Security Officer Stephen Schmidt pulls back the curtain on how Amazon is using AI-powered cybersecurity to defend against real-world threats. From global honeypots to intelligent alarm systems and secure AI agent networks, Steve shares never-before-heard details on how Amazon is protecting both its infrastructure and your data in the age of generative AI.

We dive deep into:

• Amazon's MadPot honeypot network and how it tracks adversaries in 90 seconds

• The role of AI in threat detection, alarm triage, and code validation

• Why open-source vs. closed-source models are a real security debate

• The critical need for data privacy, secure LLM usage, and agent oversight

• Amazon's $5M+ Nova Trusted AI Challenge to battle adversarial code generation
  
  

Whether you're building AI tools, deploying models at scale, or just want to understand how the future of cybersecurity is evolving—this episode is a must-listen.

Don’t forget to like, subscribe, and turn on notifications to stay updated on the latest in AI, security, and innovation.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Preview

(00:52) Stephen Schmidt’s Role and Background at Amazon

(02:11) Inside Amazon's Global Honeypot Network (MadPot)

(05:26) How Amazon Shares Threat Intel Through GuardDuty

(08:06) Are Cybercriminals Using AI?

(10:28) Open Source vs Closed Source AI Security Debate

(13:09) What Is Amazon GuardDuty

(17:44) How Amazon Protects Customer Data at Scale

(20:18) Can Autonomous AI Agents Handle Security?

(25:14) How Amazon Empowers SMBs with Agent-Driven Security

(26:18) What Tools Power Amazon’s Security Agents?

(29:25) AI Security Basics

(35:34) Securing AI-Generated Code

(37:26) Are Models Learning from Our Queries?

(39:44) Risks of Agent-to-Agent Data Sharing

(42:08) Inside the $5M Nova Trusted AI Security Challenge

(47:01) Supply Chain Attacks and State Actor Tactics

(51:32) How Many True Adversaries Are Out There?

(53:04) What Everyone Needs to Know About AI Security

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What if AI could predict exactly when you'd get sick—and help you prevent it?

In this episode of Eye on AI, Dr. Eric Topol, world-renowned cardiologist, author, and AI health pioneer, joins us to unveil the future of preventive medicine. We dive deep into the themes of his new book Super Agers, which lays out a groundbreaking blueprint for extending healthspan—not just lifespan—through the power of multimodal AI and deep biological data.

Dr. Topol explains how AI models can now analyze a full-stack of human data—genomics, proteomics, metabolomics, microbiome, and more—to forecast age-related diseases like cancer, Alzheimer’s, and heart disease decades before symptoms appear. This isn’t science fiction. It’s here now.

If you're interested in the intersection of AI, longevity, and the future of medicine, this is a must-listen.

Where AI Works tackles the big questions shaping AI’s role in business today, cutting through the hype to deliver actionable insights for leaders. Brought to you by the Wharton School, in collaboration with Accenture, this podcast combines cutting-edge research with real-world case studies to uncover how top companies are using AI to upskill workforces, enhance customer experiences, boost productivity, and streamline operations.

Check it out: https://link.cohostpodcasting.com/f5e223b4-da0c-4fc8-bbf3-5f24c15f8fd2?d=sxo9xhJN2

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) The Power of Precision Medical Forecasting

(01:53) Eric Topol’s Journey into Digital & AI Medicine

(03:27) Using AI to Prevent Aging-Related Diseases

(05:25) The Challenge of Health Data Privacy & Ownership

(09:05) Genetic Risk to Deep Data Insights

(11:20) Personalized Prevention Through Lifestyle & Biomarkers

(13:59) Why Anti-Aging Drugs Are Still Years Away

(16:18) What are Organ Clocks

(19:34) The Longevity Industry’s Flawed Use of AI

(21:59) Top AI Pioneers Endorse “Super Agers”

(24:21) Which Longevity Startups Are Getting It Right?

(26:27) Why Topol Refuses to Join Longevity Startups

(28:57) Topol’s Own Health Data & Lessons Learned

(30:25) How Accurate Is AI at Predicting Disease Timing?

(31:47) The Truth About Genetic Risk and Cancer Detection

(33:33) AI-Driven Cancer Detection: A Smarter Approach

(38:51) How Precision Medicine Has Evolved

(41:02) The Risky Reality of Anti-Aging Interventions

(44:39) Why Healthspan Matters More Than Lifespan

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved.

Offer only for new US customers with a minimum financial commitment. See if you qualify for half off at http://oracle.com/eyeonai

In this episode of Eye on AI, host Craig Smith speaks with Prashanth Chandrasekar, CEO of Stack Overflow, about how one of the internet’s most trusted platforms for developers is adapting to the era of generative AI. With over 60 million human-curated Q&A pairs, Stack Overflow is now at the center of AI development — not as a competitor to large language models like ChatGPT, but as a foundational knowledge base that powers them.

Prashanth breaks down how Stack Overflow is partnering with OpenAI, Google, and other LLM providers to license its data and improve AI accuracy, while also protecting the integrity of its community. He explains the rise of OverflowAI, how Stack Overflow for Teams is fueling enterprise-grade co-pilots, and why developers still rely on expert human input when AI hits its “complexity cliff.” The conversation covers everything from hallucination problems and trust issues in AI-generated code to the monetization of developer data and the evolving interface of the web.

If you want to understand the future of developer tools, AI coding assistants, and how human knowledge will coexist with autonomous agents, this episode is a must-listen.

Subscribe for more deep dives into how AI is reshaping the world of software, enterprise, and innovation.

Stay Updated:

Craig Smith on X:https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Intro

(02:31) Prashanth’s Journey from Developer to CEO

(05:18) Why Stack Overflow is Different from GitHub

(08:51) The Power of Community and Human-Curated Knowledge

(12:53) Stack Overflow’s Data Strategy for AI Training

(17:26) Why Stack Overflow Isn’t Competing with OpenAI

(20:36) How Stack Overflow Powers Enterprise AI Agents

(26:13) OverflowAI, Gemini, and the Future of Dev Workflows

(30:09) Inside Stack Overflow for Teams

(33:29) Safeguarding Quality: The Fight Against AI Slop

(38:32) Licensing, Attribution, and Protecting the Knowledge Base

(43:19) Business Strategy in the Age of Generative AI