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Artificial intelligence no longer arrives with announcements or training sessions. Systems absorb intelligence quietly. Workflows adjust on their own. Decisions land faster. Most days feel smoother. Fewer people stop to ask how outcomes happen. Fewer teams pause to inspect decision paths. Progress feels calm. Risk grows in silence. This shift defines 2026. AI does not sit at the edge of systems anymore. Intelligence runs through identity checks, transaction scoring, medical t

Autonomous systems are changing the nature of enterprise technology. We are moving past automated scripts and entering an era of truly  agentic AI  capable of independent planning and action. For CISOs, IT directors, and engineering teams, this shift presents a new paradox: the systems designed to automate success are also the ones that pose an  existential risk  if they veer off course. Think about a self-driving car. Its goal is simple: get passengers from point A to point

Zero Trust has moved from a nice idea to a requirement for every organization deploying AI in production environments. Many teams treat AI systems like regular applications, then deal with strange outcomes later. A model fetches data from an unexpected source. An agent writes logs into the wrong storage bucket. An API starts receiving input far outside normal patterns. You know the drill. These moments bring confusion, and confusion brings risk. Zero Trust offers an alternati