Feb 23, 2026

The Rush to Adopt AI: How to Get it Right & Business Risks • Nick Selby & Sarah Wells • GOTO 2026

In this interview, Sarah Wells and Nick Selby discuss the significant business risks introduced by the current rush to adopt AI. They cover how AI vendors blur security terminology, how the insatiable need for data creates an enormous blast radius for breaches, and provide a framework for responsible AI adoption through threat modeling, cross-disciplinary governance, and a return to IT fundamentals.

Jan 29, 2026

Securing AI for the Quantum Era: A CISOs Cyber Security Guide

Explore the significant security risks posed by Agentic AI and quantum computing, from data breaches of sensitive information to the breakdown of modern cryptography. Learn proactive strategies for governing AI and preparing for a quantum-safe future.

Sep 03, 2025

Security & AI Governance: Reducing Risks in AI Systems

The video explains the distinct but complementary roles of AI governance and security in mitigating AI risks. It contrasts their focuses, from self-inflicted policy violations (governance) to intentional external attacks (security), and proposes a layered framework combining both for comprehensive protection.

Aug 28, 2025

Why 70% of Companies Are FAILING at AI Safety (Shocking Survey Data): 2025 AI Governance Survey:

Ben Lorica and David Talby of 'The Data Exchange' podcast analyze the 2025 AI Governance Survey, revealing a significant gap between AI adoption and mature risk management. While 30% of organizations have models in production, many lack robust governance frameworks, incident response plans, and comprehensive monitoring, often prioritizing speed-to-market over safety and compliance.

Aug 06, 2025

2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI

A deep dive into why 2025 is poised to be the 'Year of Evals' for AI. The speaker argues that a confluence of factors—the C-suite's post-ChatGPT awakening, budget dynamics, and the rise of autonomous agentic systems—has finally made AI evaluation a critical, top-of-mind issue for enterprise leaders.