Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Even without knowing the commands, you can spot critical package vulnerabilities during cloud migration. This awareness helps security and engineering teams identify and address risks before they impact production.

There are more similarities between KeeperPAM and a pit stop than you might think. The perfect pit stop requires an expert team with every action synchronized, every role defined and every risk anticipated. The same should be true for your privileged access management solution.

The NSA just published a rare advisory on the Model Context Protocol (MCP)—the plumbing under nearly every agentic AI deployment of the last 18 months—and the verdict is stark: optional authentication, no token lifecycle, silent behavior changes, and no logging to catch any of it. Host Tova Dvorin sits down with defensive cybersecurity expert Adrian Culley to unpack the eight risk categories, the WhatsApp and GitHub MCP exploits, and why MCP is now a testable validation surface.

AI just handed attackers a new front door — and most security teams don't even know it exists. Model Context Protocol (MCP) is the emerging standard that lets AI agents talk to your tools, your data, and each other. It's also the most significant new attack surface to emerge in years. The NSA noticed. Your adversaries already have.

In this episode, Gal Yosef, Head of Product Management at AlgoSec, explores the five critical mindset shifts security teams must make to successfully secure today’s hybrid and multi-cloud environments. As organizations expand across AWS, Azure, GCP, and on-premises infrastructure, traditional security approaches often create silos, visibility gaps, and operational complexity.