AI security is getting attention because AI has stopped being a side experiment.  It is now part of how work gets done. Employees use copilots to write, research, code, and analyze. Product teams are adding AI into customer experiences. Developers are building applications on top of foundation models. Business teams are experimenting with agents that can read email, summarize documents, query data, and trigger workflows.  That is a very different world from the one many AI review processes were designed for.  An AI system can pass a benchmark and still fail in production. It can behave safely in a clean test environment and then encounter real […]

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Enterprise security has always had a comforting assumption baked into it: systems do what they were built to do. Sometimes badly. Sometimes insecurely. Sometimes in ways that make auditors develop a nervous twitch. But still, the basic shape was understandable. Applications processed requests. Databases stored data. APIs connected systems. Users clicked things they probably should not have clicked. Then AI arrived and made the whole thing a little weird. AI did not introduce one neat new risk category. Security teams are very good at turning new risk categories into taxonomies, dashboards, and meetings with names like “working group.” The real […]

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