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.

MongoDB has warned IT admins to immediately patch a high-severity memory-read vulnerability that may be exploited by ...

The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single ...

The clinical research environment has undergone considerable transformation over the past decade. Protocols are more complex, product pipelines increasingly target smaller and more distributed patient ...

We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Abstract: In prior work, a number of asymptotically optimal suspension-based real-time locking protocols have been presented for job-level fixed priority (JLFP) schedulers, where job priorities do not ...

Abstract: This paper proposes a novel lock manager that accelerates the deterministic concurrency control protocol. The proposed system eliminates the bottleneck of a naive locking mechanism that ...

FILE PHOTO: A police-organised Christmas party for the general public. Police and ordinary citizens have to work together for security during the festive season. COMMENT | Samson Tinka | Crime often ...