Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this episode of Building Cyber Resilience: A Healthcare Leader’s Guide, host Josh Howell speaks with Drex DeFord, veteran healthcare CIO, strategist, and President of 229 Cyber & Risk at This Week Health. Drawing on decades of experience leading technology and transformation across organizations like the U.S. Air Force, Seattle Children’s, Scripps Health, and Steward Healthcare, Drex explores what it really takes to sustain patient care when cyberattacks force systems offline.

What happens when a state-of-the-art AI assistant can read your email, browse the web, and fill in your passwords — but can’t reliably tell a scam from the real thing? In this video, you’ll see real examples of frontier AI agents: These aren’t edge cases. This is the result of 1Password’s new benchmark: SCAM — Security Comprehension & Awareness Measure.

The new year brings renewed energy, refreshed goals, and sharper priorities. But at the same time, clarity can be hard to find as AI changes how work gets done, expectations rise, and cyber risk grows. As 2026 begins, several major shifts are already shaping how security teams operate, collaborate, and find satisfaction in their work.

In this episode of Corelight Defenders, I’m joined by Bernard Brantley, Chief Information Security Officer at Corelight, as we delve into the concept of the enterprise nervous system. Bernard shares insights from his extensive experience in network analysis, explaining how organizations can leverage their network traffic data to enhance security and drive business outcomes. We discuss the importance of understanding the interdependencies between assets, processes, and goals, and how security teams can position themselves as integral to business success rather than just risk mitigators.

84% of developers are using or planning to use AI tools in their workflow (Stack Overflow, 2025). AI coding assistants like Codex, GitHub Copilot, and CodeWhisperer are changing how we build software. But here’s the real question: Who secures AI-generated code? In this video, we break down: If you’re using AI to write code, you need: AI-generated code is still code. It must be reviewed, validated, and monitored.