Machine Learning Is Cybersecurity’s Latest Pipe Dream

Rather than waste money on the unproven promises of ML and AI, invest in your experts, and in tools that enhance their ability to search for and identify components of a new attack. Go to any security conference and you’ll likely hear someone say cybersecurity is a “big data problem” or claim artificial intelligence (AI) and machine learning (ML) are the best hope we have to improve our defenses. Most organizations collect mountains of data and urgently need help sifting through it all to find signs of an attack or breach. First generation tools like SIEM (security information and event management) systems, gave security teams a way to correlate events and triage the data. Then solutions with powerful search and indexing capabilities emerged, enabling security teams to quickly search through massive amounts…


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