Cybersecurity: Choosing ML Over AI Today For Good Reasons

Are you jaded by the overuse of Artificial Intelligence (AI) – with vendors instilling either fear or faith? In the cybersecurity domain, we see CISOs investing in Machine Learning (ML), but remaining justifiably skeptical of AI. Machine learning – a building block for AI – lets augmented analytics help security staff decide what to investigate, detect low-and-slow attacks that defenses have missed, and gain enough time to explore the serious problems.ExtraHop Security teams at enterprises still drown in too many warnings. In November, Enterprise Management Associates (EMA) found that 64% of alerts go uninvestigated, and only 23% of respondents investigate all of their most critical alerts. Machine learning – a building block for AI – lets augmented analytics help security staff decide what to investigate, detect low-and-slow attacks that defenses have missed, and gain enough time to explore the serious problems. ML can discern indicators of attacks from collections of loosely related data faster and more reliably than an overworked (and often under-experienced) analyst.