Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zero Trust continues to present an often-overlooked challenge: keeping access decisions accurate as the real-world conditions behind them change. Over the past decade, AI, cloud transformation, mobile access, and remote work have challenged existing security paradigms at a fundamental level.

AI has changed how work gets done. Agents can plan tasks, query enterprise repositories, invoke tools, write code, call application programming interfaces (APIs), and take actions across connected systems. As they work, they create, copy, fragment, transform, and share data across workflows. A perimeter and a one-time authorization decision do not provide enough control for this operating model. An agent can chain permissions, tools, integrations, and data sources while completing a task.

Malicious cyber activity targeted remote monitoring and control technology at over 30 community water systems across Minnesota in late July 2026, and water cyber attacks were subsequently reported across at least 12 states. However, the underlying OT security weaknesses are not exclusive to the water sector.

Zero Trust is often summarized as “never trust, always verify.” More precisely, it is a security model built on the premise that trust should never be granted implicitly based on where a user, device, workload, or resource sits. That makes Zero Trust much bigger than deploying a particular product or turning on a handful of access policies.

Kubernetes trusts everything inside the cluster by default. Any pod can reach any other pod, IPs change with every rolling deployment, and one compromised container gives an attacker a path across your entire environment. Kubernetes zero trust replaces that default with a simple rule: Never trust, always verify, regardless of where a request comes from.