Behavioral Analytics and Machine Learning: What You Need to Know
A majority of IT security practitioners (65%) believe that machine learning is essential for strong cyber defenses. Behavioral analytics that leverage machine learning can make a difference. After all, despite $77B in annual cyber security spending, attackers regularly breach defenses. However, much skepticism surrounds machine learning’s application to cyber security. Attend this webinar to learn:
- What machine learning is and is not
- Why applying it to cyber security is not easy
- How behavioral analytics can optimally use machine learning
- What becomes possible because of machine learning, if done right
Security teams are weathering a daily deluge of alerts, that may or may not indicate an attack. Traditional approaches are no longer effective in an attack landscape that has changed to one where hard to detect, slow-burning, multi-stage attacks are no longer the exception, but the rule.
Behavioral analytics that use machine learning should be the obvious choice for detecting attacks, automatically analyzing varied data from multiple perspectives and teasing out any relationship between disparate actions, even if they are weakly related. After all, given the acute shortage of security personnel, your team should be focusing on the threats that matter.