The SOC we've always known was built around a model that guarantees most of the alert queue will never receive analyst review. There's never time. In a traditional SOC, the typical progression follows a well-known pattern: an alert arrives; a detection engine assigns a severity score. The issue then waits for a human to decide if it should escalate to an investigation. Given the volume of
Read full article at The Hacker News ↗Organizations must distinguish identity verification, authentication and threat detection, or risk successfully authenticating the attackers they are trying to stop. The post The MFA Identity Trap: When Authentication Creates a False Sense of Security appeared first on SecurityWeek.
RightCrowd has launched RightCrowd Pass, a unified credentialing platform that manages mobile, physical, and biometric access credentials from a single system. The solution addresses fragmentation issues that arise when organizations layer modern credential types onto legacy badge systems, eliminating the need for separate issuance and revocation processes across multiple platforms. This consolidation provides security teams with a centralized view of access permissions across different credential types and physical spaces.
Selecting a model for your security operations center (SOC) and digital forensics and incident response (DFIR) tasks is important, but selecting the best one is more involved than you might think. Here's how to choose.
The Linux Foundation has introduced TRACE, an open standard designed to provide hardware-attested evidence of runtime behavior and compliance for AI agents. The standard aims to create verifiable records of how AI systems execute, addressing growing concerns about transparency and accountability in AI deployments.