Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Detecting AI Agent Lateral Movement in Kubernetes

An AI agent moving laterally through a Kubernetes cluster does not look like an intrusion. There is no foreign process, no exploit, no dropped binary — just the agent using the identity, network routes, and tools it was handed at deployment to reach targets it was technically allowed to touch. That is the entire problem. The controls you run were built to catch an outsider pivoting from host to host.

Introducing Agentic Exposure Validation

Check Point Agentic Exposure Validation (AEV) uses AI agents to reason like an attacker across your external footprint. It correlates your assets with live threat intelligence, exploit research, and attacker behavior, and tells you, in minutes, what's actually exploitable and what isn't. No assumptions. No noise. Evidence-backed findings your team can act on immediately.

Cosine Similarity Is Math, Not Magic

Cosine similarity is pure math. No magic. No understanding. Once you accept that, a lot of the confusion goes away. We talk to a lot of customers, and even seasoned engineers, who treat cosine similarity like magic that solves everything. Engineers talk about embeddings like they are definitive. Product teams trust similarity scores like they are facts. Vendors sell “semantic understanding” like the model actually understands. Truth is, it does not.

AI Agent Governance Part 2 - What Good Looks Like: Governing AI Agents in Practice

If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Insider You Build, she explains that governance is not defined by policies or structures, but by whether it can actually influence system behavior at runtime. In an agentic environment, governance only exists where it can shape, constrain, and intervene in decisions as they happen.

What is AI Usage Control?

AI usage control is the security and governance framework that enterprises use to monitor, regulate, and secure how employees interact with artificial intelligence tools. As Generative AI becomes deeply embedded in everyday workflows, organizations face a high-stakes balancing act: capturing massive productivity gains while preventing catastrophic data leaks, compliance violations, and intellectual property exposure.

Why a Credentialing Specialist Is Essential for Healthcare Operations

Every day a provider is not credentialed is a day they may not be able to see patients, bill payers, or generate revenue. For healthcare organizations, credentialing delays affect far more than paperwork. They impact onboarding timelines, payer reimbursement, compliance readiness, provider schedules, and operational continuity across the business. A missing document or delayed approval can slow down provider start dates, interrupt billing, and create avoidable administrative pressure for teams already balancing complex healthcare workflows.