Every cybersecurity professional believes their tech stack is secure—until the day they find out it isn’t. Don’t wait until a ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...

If you have an Arlo Secure subscription for your camera, you may have noticed an interesting recent addition: A beta program for "Custom Detection" that allows you to literally train Arlo's AI to ...

By integrating penetrating testing into strategic planning and budgeting, agencies can evolve from a reactive cybersecurity ...

The Department of Homeland Security’s research arm is moving forward with efforts to fill in holes in how well remote identity verification technologies work, announcing Tuesday that it’s taking ...

As software architectures evolve toward cloud-native environments, AI-assisted development, API-centric products, and distributed CI/CD pipelines, the attack su ...

Ever since companies started implementing contactless verification systems, facial recognition technology has held great potential. Now, with a global market share of over $4.9 billion, the technology ...

Independent Testing Confirms Bitdefender's Ability to Block Early-Stage Threats While Minimizing False Positives and Performance Impact for Organizations of All Sizes Bitdefender, a global leader ...

Each year, Campus Safety conducts surveys on safety and security technologies commonly found on K-12, universities, and healthcare campuses. The data extracted from these surveys offers insights into ...