Use Advanced Machine Learning to Your Advantage - Defend Against APTs

Has your organization experienced a security breach and didn't immediately realize it occurred? Do you need a real-time, cyber defense network-based detector that sits above or below a proxy and analyzes network traffic, both inbound and outbound, for Advanced Persistent Threats (APT) intrusion and infection detection?

Join us for a one-hour webinar showcasing a solution that not only complements existing signature-based solutions, such as SIEM, IDS, IPS, FireEye, etc., but also is a 100 percent advanced machine learning-based solution, employing both supervised and unsupervised models. This solution provides users with an adaptive and agile defense in real time. 

As an integrated solution with proven machine learning models from IBM Research, IBM Cognitive Cyber Defense has the ability to build new families of cyber models to react to the ever-changing APT environment.

The key takeaways from this session are:

• How to apply advanced machine learning techniques and methods to detect unknown APT attacks
• How these techniques compare to existing defense-in-depth technologies
• How can you get access to this technology
• The future of advanced machine learning in cyber defense

If you are unable to attend, click here to access the archived recording.

Bailey Hamilton
IBM Government at 
ESVA Inc.
703-673-9028 (Direct)
877-378-2462 (Toll-Free)
bailey.hamilton@esvainc.com 
www.esvainc.com/ibm