AI in cybersecurity: Yesterday's promise, today's reality

MIT Technology Review 

Together, the consumerization of AI and advancement of AI use-cases for security are creating the level of trust and efficacy needed for AI to start making a real-world impact in security operation centers (SOCs). Digging further into this evolution, let's take a closer look at how AI-driven technologies are making their way into the hands of cybersecurity analysts today. After years of trial and refinement with real-world users, coupled with ongoing advancement of the AI models themselves, AI-driven cybersecurity capabilities are no longer just buzzwords for early adopters, or simple pattern- and rule-based capabilities. Data has exploded, as have signals and meaningful insights. The algorithms have matured and can better contextualize all the information they're ingesting--from diverse use cases to unbiased, raw data.

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