As federal agencies work to counter expanding cybersecurity threats, some are finding solutions in machine learning. Applying automated machine learning can help detect threats that have previously circumvented traditional security systems. Security teams can develop predictive models to detect intrusions and malware attacks, analyze and adapt to new threats, and identify risky or malicious behavior
During this live webcast, Leonel Garciga, CTO for the Joint Improvised Threat Defeat Organization, will discuss what needs to be in place for agencies to benefit from using machine learning in cybersecurity.
The discussion will touch upon:
J6 Chief and Chief Technology Officer
Defense Threat Reduction Agency (DTRA)
When: June 13, 2018 at 2pm ET
Where: Your Computer