Darkreading’s recent article identified goals of using ML in Cybersecurity “To make a broad statement, we are trying to use ML to identify malicious behavior or malicious entities; call them hackers, attackers, malware, unwanted behavior, etc. In other words, it comes down to finding anomalies.” The January 11, 2018 article entitled “AI in Cybersecurity: Where We Stand & Where We Need to Go” included these comments:
With the omnipresence of the term artificial intelligence (AI) and the increased popularity of deep learning, a lot of security practitioners are being lured into believing that these approaches are the magic silver bullet we have been waiting for to solve all of our security challenges.
But deep learning — or any other machine learning (ML) approach — is just a tool. And it’s not a tool we should use on its own.
We need to incorporate expert knowledge for the algorithms to reveal actual security insights.
Stay tuned for AI/ML in Cybersecurity!