Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A healthcare CISO opens her AI-SPM dashboard at the start of the quarter. Every clinical AI agent in the cluster reads green: full AI-BOM coverage, every permission scope reconciled, the HIPAA compliance tag clean across the fleet. The ambient scribe, the prior-authorization assistant, the oncology decision support agent — all monitored, all green, all the way through. Six months later, the Office for Civil Rights opens an investigation.

Most Secure Shell (SSH) hardening advice starts and ends with two changes: move off port 22 or disable root login. Both are easy to implement, widely recommended — and almost entirely misunderstood.

Organizations that operate servers across data centers, cloud accounts, and colocated environments face a problem that grows with each site they add: identity fragmentation. If an engineer needs access to infrastructure in ten locations, it's highly likely that the identity and access systems governing those locations exist in ten separate configurations. Each new site or cloud deployment also creates thousands of new credentials, adding new paths and additional attack vectors.

Observe-to-enforce builds behavioral baselines from observed agent traffic — what tools the agent calls, which networks it reaches, which syscalls it executes — and converts them into per-agent enforcement policies. Baselines persist at the Deployment level because pods churn and the envelope has to outlive any single restart. The methodology runs as a four-stage progression: discovery, observation, selective enforcement, continuous least privilege.

A new Linux kernel LPE disclosed by Theori/Xint lets any unprivileged local user become root with a 732-byte Python script. Works first try, no race, no per-kernel offsets. CVSS 7.8 (High), effectively critical for shared-kernel and multi-tenant environments.