Banking fraud, insider threat, & targeted attacks can all be detected using user and entity behavior analytics. This method is used to analyze human behavior patterns and then find deviations using statistical analysis and algorithms. When end users collaborate, malware might become dormant and go undiscovered. Rather than trying to figure out where the outsider got in, user and entity behavior analytics uses algorithms to detect internal threats, allowing for faster detection. In big data platforms…
Source: finance.yahoo.com – Read more
Granular Policy Enforcement for Decentralized Model Context Resources
Secure your Model Context Protocol (MCP) deployments with granular policy enforcement and post-quantum cryptography. Prevent tool poisoning and puppet attacks. The post Granular Policy Enforcement
