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Overcoming the Challenges of Cyber Threat Hunting With Contextualized Content


Modern enterprises must proactively seek out the most dangerous cyber adversaries lurking in their networks today as those are the ones that cause the real or significant damage and loss to organizations. These are the stealthy and dynamic adversaries that slip under the radar of the most advanced security tools including machine learning and artificial intelligence algorithms, the ones who study the most recent cybersecurity techniques in order to evade them. When done right, advanced threat hunting activities can go a long way toward uncovering these advanced adversaries. Threat hunters learn emerging attack techniques from industry intelligence and community channels, they make hypotheses about how these techniques could be used against their environments, and they apply those informed hunches and contextualized content to sift through security data for clues that could lead them to the covert threat actors.

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