Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security used to mean locking the doors and the windows. Networks are open now, and every new tool, integration, and workflow adds another way in. A device can report EDR installed and still carry an exclusion someone added on a Sunday two years ago. Deployment is easy to confirm. How the control is running is the harder question. Garrett Hamilton and Moudy Elbayadi get into it on Inflection Point: Digital Intelligence.

AI has moved beyond the browser. It now runs in the terminal, the IDE, and desktop apps with your users' full privileges, where most security tools can't see it. In the AI era, the endpoint is where AI executes. This video shows how CrowdStrike Falcon AI Detection and Response (AIDR) extends the Falcon sensor you already run to the AI interaction layer. One sensor and one browser extension deliver visibility and control over every AI interaction on the endpoint and in the browser, from the Falcon console you already use.

AI Led Pentesting is redefining how organizations approach application security. As software development accelerates with AI-assisted coding, cloud-native applications, and rapidly evolving attack surfaces, traditional penetration testing is struggling to keep pace. In this detailed video, we explore why the future of security testing needs to be continuous, intelligent, and autonomous led by AI.

Most healthcare AI systems rely on Retrieval-Augmented Generation (RAG) and vector databases to search millions of insurance claims, physician notes, lab reports, billing documents, and customer records. But what happens before those documents become searchable? In this Short, we explain how embedding models convert raw healthcare documents into vectors—and why patient names, medical record numbers (MRNs), diagnoses, and Social Security numbers can end up stored inside your vector database if data isn't protected before ingestion.