Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI changed who can build. Employees across the business can now create workflows – apps, agents, and automations, faster than ever before. The result is a growing wave of “wild code”: AI-generated software, automations, and agents that solve real business problems but exist outside traditional governance, operational ownership, and support models. For IT, this creates a new challenge. How do you empower teams to move quickly without creating more risk, complexity, and technical debt? How do you support innovation without opening the door to shadow AI, data leakage, and unmanaged systems?

Deepfakes are taking over social feeds, and nearly 70% are almost impossible to detect with the naked eye. Learn the quick behavioral habits that will stop you from falling for AI-generated scam media and misinformation online!

How fast do organizations need to respond to cyber threats today? In this short video, Daniel Trivellato, VP of OT, Healthcare and Cyber Risk Solutions at Forescout, explains why containment can no longer be treated as the final step in incident response. As AI accelerates the time between vulnerability discovery and exploitation, security teams have less time than ever to investigate and react.

Most DLP tools can mask a PII value on the way into a model. Almost none of them can make that value usable again when the AI needs to call a tool with it, so the masking breaks the workflow instead of protecting it. This is Protecto Privacy Gateway for AI Chat, live in a self-hosted LibreChat deployment. Watch what happens when a masked account number needs to resolve at a tool boundary — and comes back correct.