Kevin Cox is Jon Snow in the war against cyber threats–for the cyber night is here and full of terrors. And, winter isn’t coming–it’s already here. As Continuous Diagnostics and Mitigation (CDM) rounds out phases I and II, our government needs automation, artificial intelligence (AI) and machine learning (ML) to hold back the ugly cyber hoards. AI, ML, and cloud are the dragons, dragon glass, and Valyrian steel that the Department of Homeland Security (DHS) needs to combat the hacking white walkers. Okay, so how to separate fact from fairytale? […]

The Continuous Diagnostics and Mitigation Program last week held its first data exchange between the Federal CDM dashboard and an agency dashboard. All of the CFO Federal agencies have agency dashboards to comply with the CDM program, and the Federal dashboard is in production.






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Though officials working on the Continuous Diagnostics and Mitigation program have been aware of the importance of cloud from the beginning, Phase 3 of the program will shift to include cloud concerns, according to Kevin Cox, CDM program manager at the Department of Homeland Security.






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In 2012, the Office of Management and Budget listed 14 cross-agency priority goals as part of the Government Performance and Results Modernization Act. One topic identified was continuous monitoring of Federal IT networks. The next year, the Department of Homeland Security (DHS) announced a $6 billion program to address this: the Continuous Diagnostics and Mitigation (CDM) program.






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The underreporting of cyber incidents is a chief issue across Federal agencies, according to Kevin Cox, Continuous Diagnostics and Mitigation program manager for the department of Homeland Security. However, when the CDM Federal dashboard launches in July, agencies will be able to view not only their own cybersecurity issues, but also those of their fellow agencies.






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