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How Enterprises are Attacking the Cybersecurity ProblemConcerns over supply chain vulnerabilities and attack visibility drove some significant changes in enterprise cybersecurity strategies over the past year. Dark Reading's 2021 Strategic Security Survey showed that many organizations are staying the course regarding the use of a mix of attack prevention and threat detection technologies and practices for dealing with cyber threats.
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User Rank: Apprentice
1/12/2018 | 4:37:14 PM
There are great places where ML is perfect for cybersecurity, but only as a part of the solution. The heart of our Constellation Analytics Platform is a Bayesian Inference Network built over years of research to reason like a team of cyber experts across weak inputs from disparate sensor systems. Some of those sensors need ML techniques to find the real signal, some don't - but they all come together in a BayesNet that prioritizes the threat and ultimately the risk.
We believe this is the only viable approach today given what you highlighted of lack of training data, and even if you had some training data, sensor outputs change frequently as the environment changes. Only with additional context can you uncover those malicious events that represent the highest risks.