As the number of vulnerabilities surge and security teams fight to deal with large volumes of risks, organizations that leverage predictive technology and take a risk-based approach to vulnerability management will have the advantage in 2021.
We’ve seen the dramatic shift this year from the pandemic, increasing home working and cloud migrations, and it’s more important than ever to focus on vulnerabilities that are actually exploitable to optimize patch efficiency and reduce exposure time. Join our expert panel as they share their predictions for the vulnerabilities to watch out for in 2021 and explain how machine learning can be used effectively in these unpredictive times to get you ready for the security challenges ahead.
What you'll learn:
- Why predictive risk-based vulnerability management is a top priority for 2021 and understand which vulnerabilities hackers are actively targeting in your organization
- An anatomy of some of the most prolific vulnerabilities including Netlogon/ Zerologon and how to quantify risk with the expanded attack surface
- Machine learning and predictive technology innovation and case studies on how it’s being successfully used to supercharge cyber security programs
- Debunking predictive vulnerability management and effectively integrating this into your 2021 plans