Solving the Cybersecurity Workforce Shortage With Machine Learning

Presented by

Michael Roytman, Chief Data Scientist, Kenna Security

About this talk

The workforce shortage in cybersecurity is forcing organizations to find new ways to get more out of their limited resources. In this webinar, we posit that automating operations with machine learning is the only way to get more efficiency and output from your existing team, giving them time back for more strategic work. What questions machine learning can solve, how to measure the effects, and how to make sure your most precious resources (people) are working on what matters is essential. The webinar will cover: - Why automation and machine learning are the solution to the workforce shortage - Pointers on those places where you really shouldn’t automate - How you can make every member of your team more efficient - Which metrics matter most when designing machine learning systems Give your team back their time. Automating with machine learning is the solution.

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Kenna is a pioneer and leader of a new category of IT security solutions that allows security and IT teams to efficiently focus on the vulnerabilities posing the greatest risk to their IT environments. We’ve experienced firsthand just how frustrating and challenging security can be – the struggles with being unable to keep up with the volume of scan data, having to settle for inadequate security due to budget constraints, picking a remediation list at random (and hoping for the best), and being unable to measure and report on your team's efforts to reduce your exposure to risk.