An Intellyx Brain Candy Update
Since we last covered Confluera in December 2019, the company has sharpened its approach to extended detection and response (XDR) of attacks in the cloud.
Confluera tracks suspicious behavior with the use of machine learning and graph technology, mapping patterns of indicators of compromise (IoCs) into storyboards that discern the details of attacks, even when the attacker is actively covering their tracks.
Individually, IoCs can become too numerous for effective detection and response. By placing them on storyboards, Confluera can detect attacks based upon patterns of IoCs, thus reducing the noise problem while detecting attacks in real-time.
Confluera can also detect attack patterns when individual IoCs are too subtle for traditional tools to separate them from the noise, thus identifying and mitigating attacks quickly where other tools take longer or cannot identify them at all.
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