DHS awards contract for AI-enabled CDM dashboard
- By Derek B. Johnson
- May 24, 2019
The Department of Homeland Security has awarded a new contract for a dashboard that will lay the groundwork for the Continuous Diagnostics and Mitigation program to take advantage of artificial intelligence, machine learning and CDM's vast stores of data. ECS Federal, a Fairfax, Va.-based subsidiary of ASGN Inc., is the awardee.
"It's going to take us a few years to get everything in place, but this is what's going to enable us to get to the more advanced capabilities," CDM Program Manager Kevin Cox said at a May 22 FCW event. "Being able to bring in machine learning to interact with the data and get additional value for the agencies, bringing in AI to write the algorithms to really expand out what we can do with the data. Because we do really have a treasure trove of data here, not just from a security standpoint but also from an operational standpoint."
Cox said at the May 22 event that contract award was imminent. It was announced the morning of May 24.
The contract aims to better integrate and feed data into AWARE, the new risk-scoring algorithm DHS will use to evaluate the cybersecurity posture of participating agencies. That algorithm will undergo a soft launch in October, measuring factors like vulnerability management, patching and configuration. Cox has said the ultimate goal is to pull in more detailed metrics.
This is an updated version of an article first posted to FCW, a sibling site to GCN.
Derek B. Johnson is a senior staff writer at FCW, covering governmentwide IT policy, cybersecurity and a range of other federal technology issues.
Prior to joining FCW, Johnson was a freelance technology journalist. His work has appeared in The Washington Post, GoodCall News, Foreign Policy Journal, Washington Technology, Elevation DC, Connection Newspapers and The Maryland Gazette.
Johnson has a Bachelor's degree in journalism from Hofstra University and a Master's degree in public policy from George Mason University. He can be contacted at firstname.lastname@example.org, or follow him on Twitter @derekdoestech.
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