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The article addresses the critical intersection of AI adoption and cybersecurity, noting that attackers are already leveraging AI while 50% of organizational tools operate as unmanaged "shadow AI." This creates a specific challenge where traditional defense fundamentals must evolve to secure dynamic cloud workloads and machine identities against sophisticated credential abuse. The piece argues that identity management remains the central thread in mitigating breaches, regardless of an organization's speed in adopting generative AI.
Why Cybersecurity Awareness Month still comes back to the basics
October gives us an official excuse to revisit the security fundamentals every year. But the basics shouldn’t be a seasonal topic, because they’re the struggles that lead to breaches every single month. Everything applies whether or not you use AI. It’s the fastest way to run your defense, because attackers are already using it. If your organization is slower to adopt AI, the list actually still holds. We’ve found that 50% of AI tools are operating under the radar (that’s shadow AI.) AI workloads are identified at runtime, operate in the cloud, and are secured the same way as all else. Before digging into the “what to do,” let’s start with the justification as to why we need to do these things. Verizon’s 2026 Data Breach Investigations Report (DBIR) was built from more than 22,000 confirmed breaches. System intrusion…
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