Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this RSAC 2026 Conference recap, Dave Bittner, Host of the CyberWire Daily podcast, joins Data Security Decoded host Caleb Tolin from the guest seat to discuss the biggest theme dominating the conference: artificial intelligence, and, more specifically, agentic AI. From wall-to-wall AI messaging across San Francisco to in-depth conversations with security leaders and analysts, one thing became clear: the industry has moved past debating whether AI will take hold. It already has. Now, the focus has shifted to making it safe.

Incident response plans rarely fail because of technology. It’s usually because of coordination, or the lack of. Nelson Carreira explains why organizations that build isolated recovery environments should use them not only for recovery testing but also to strengthen incident response planning. Simulation exercises reveal a critical need: clear roles, leadership authority, and secure communication channels during a crisis.

On this episode of Building Cyber Resilience: A Healthcare Leader’s Guide, Nelson Carreira explains why recovery planning in healthcare has to consider the entire environment, from user devices to network architecture. In large incidents, the blast radius can extend far beyond servers, sometimes forcing organizations to rebuild tens of thousands of endpoints before operations can safely resume. As he puts it.

• What happens inside a healthcare system when ransomware takes down Active Directory and authentication fails? In this episode, Josh Howell sits down with Nelson, Executive Healthcare Strategist at CDW, to explore real-world cyber incidents and the architectural shifts required to recover safely. You’ll learn: YouTube Chapters Final Lessons for Healthcare Leaders If you enjoyed this episode, be sure to subscribe to our YouTube channel.

As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.