Machine Learning in Security: 4 Factors to Consider

There's a good chance you've considered the implications of machine learning for your security team. As data increases, the skill gap widens, and hackers' strategies get more complex, businesses struggle to detect and address cyberattacks. Machine learning enables behavioral analytics and cognitive security to detonate attachments before they arrive in someone's inbox, or correlate types of activity across a network of thousands of users. The ability to stop attacks before they occur is powerful, but how should security leaders start the process of making their systems smarter with machine learning? Avnet CISO Sean Valcamp advises perfecting your security posture first.