Understanding AI, Risk,
and the Future

LIVE from Black Hat Las Vegas: AI, Nation-States, and the Battlefield That Keeps Changing

Recorded live at Black Hat, Caroline Wong and Allie Mellen unpack why AI made nation-state attacks cheaper, why safety guardrails can work against you, and what the OpenAI-Hugging Face incident really exposed.

Why Your CISO Shouldn't Be the Department of No

Cengage CISO Mea Clift on getting excited about AI instead of scared of it, handling shadow AI without killing the curiosity behind it, and bending instead of breaking.

AI in Healthcare: Protecting Patient Data Without Falling Behind

Your doctor knows things about you that almost nobody else does. So what happens when AI gets access to all of it? Sandy Dunn has spent much of her career worrying about exactly that. She's a healthcare CISO, and her answer is calmer than you'd think: the things that can go wrong aren't new, it's how fast they happen and how far the damage spreads. In this episode, she and Mo get into why HIPAA has become paperwork that protects almost nobody, why the safest data is the data you never collected, and what happens to trust when AI is in the exam room.

The Former Google Cloud CISO's Take on AI, Agents, and What Comes Next

Former Google Cloud CISO Phil Venables on why attackers scaling up scare him more than new bugs, and what trust means when an agent does the work.

AI in Finance: From Money Laundering to Deepfakes

Dr. Janet Bastiman has been making convincing deepfakes since 2017, long before most people knew the word. Now the Chief Data Scientist at Napier AI, she joins Mo to get into why fraud is actually easier to catch than money laundering, how a deepfake already talked a finance team out of millions, and why the human analysts checking AI matter more than ever.

Afraid AI Will Replace You? Here's the One Skill It Can't

James Villarrubia went from building AI for NASA's drone and aerospace programs to becoming CTO of a travel tech company. In this episode, he and Mo get into why curiosity might be the most important skill in the AI era, what happens to our brains when we stop pushing back on the answers we get, and why the people most resistant to AI might actually be seeing something the rest of us are missing.

The Problem With AI Observability Nobody Wants To Admit

Most enterprises have guardrails. Far fewer have visibility into what their AI is actually doing. Alison Cossette, Founder and CEO of ClariTrace, joins Mo to talk about the risk debt quietly building inside agentic systems, why observability and traceability aren't optional anymore, and what leaders need to put in place before something forces their hand.

What Does It Actually Take to Build Unbiased AI?

Nobody told Tennisha Martin the importance of having a mentor, so she built a community of tens of thousands instead. As the Founder and Chairwoman of BlackGirlsHack, her whole mission has been making sure nobody else has to figure it out alone. In this episode, she and Mo get into AI bias, why it's already showing up in places that matter far beyond tech, and why the real fix starts with getting the right people in the room when these systems get built.

AI Governance Needs a Dungeon Master

David Wendt has spent 30 years building models and just as long running D&D campaigns. Turns out both taught him the same things about operating in uncertainty. He joins Mo to talk AI governance at enterprise scale, what real red teaming looks like, and why the smarter move is to stop measuring your AI and start measuring what you actually care about.