It’s undeniable that Machine Learning (ML) is changing the game for securing cloud infrastructure. Security vendors have rapidly adopted ML as part of their solutions, and for good reason: By analyzing massive quantities of data, it can help identify threats, speed incident response, and ease the burden on over-taxed security operations teams.
The problem? Vendor hype has set some very high expectations for the technology, making it difficult to separate fact from reality. Despite marketing claims, it isn’t a silver bullet. Machine learning is just not appropriate for every use case. It is, however, one very powerful tool that should be in every security practitioner’s toolbox for identifying and remediating threats in cloud infrastructure.