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Attackers scale deception with AI. Defenders need truth at machine speed.
AI has significantly altered cybersecurity economics, enabling attackers to generate vast amounts of deceptive content cheaply and quickly. This rapid deception outpaces defenders' ability to verify, creating a new security challenge. While AI is discussed for detection, the deeper bottleneck is evidence availability, accessibility, and trust. The defender's advantage lies in truth: quickly understanding what happened, where, when, and how. Attackers leverage AI for scaled deception, while defenders need AI to scale verification. Fragmented data across disparate systems hinders effective investigation, even for AI systems. A defensive control plane, rather than just passive data repositories, is crucial. This plane connects events, their meaning, and allowed actions, making evidence usable for trusted decisions. It must preserve evidence, access data universally, add business context, and govern actions. Modern Security Operations Centers suffer not from a lack of data, but from a lack of usable context. Analysts manually stitch together fragmented signals, leading to latency and risk. A data fabric architecture, unifying data and providing context, offers a solution. This enables trusted action by grounding every defense in verifiable evidence, countering the attacker's ability to scale deception.
