28 Oct 2020Ended

Using Deception for Early and Efficient Threat Detection


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28 Oct 2020


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Most organizations are benefiting from the scalability, flexibility, and convenience of modern cloud services and new, highly distributed hybrid .. Read more corporate networks. To combat modern cyber threats, organizations have invested in more and more tools focused on threat detection leveraging big data analytics and user behavior modeling―generating massive waves of alerts, which too often turn out to be false positives. Analysts spend too much time chasing benign behavior and consequently, real attacks are slipping through. More deterministic approaches are required to quickly find and respond to real threats effectively in real-time. The use of deception platforms helps organizations detect and contain cyberattacks sooner in the attack process―regardless of established patterns of user activity baselines. Because these solutions alert only on attacker interactions with a deceptive asset, not mere deviations from a “normal behavior profile”, the high fidelity nature of these alerts helps Incident Response teams take immediate steps to stop the threat armed with detailed forensic intelligence collected in real-time from the attacker’s specific actions. Alexei Balaganski, Lead Analyst at KuppingerCole, will talk about the evolution of threat detection technologies, challenges modern digital enterprises are facing, and approaches to overcome them.

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KuppingerCole Analysts AG

Germany 16 Total Events / 1 Upcoming Event

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