How AI-driven decision-making is shaping Army modernization
AI-powered automation helps solve warfighter problems, improve force readiness and enable mission execution.
“How do I do the same level of effort that I was applying before, but without those people in place?” Jeff Marshall, director of DISA's J9 asked. “The clear answer is automation and AI and machine [learning.]”
“The only way that we can actually do our job with the pacing threat of China is to actually add that automation capability," said Brian Hermann, cybersecurity and analytics director at DISA.
The company’s work on the Global Force Information Management System will be a step in helping the Army meet one of Secretary Christine Wormuth’s top objectives: ensuring it becomes data-centric and data-driven.
An Army senior research scientist offers his suggestions on what to look for in a security orchestration, automation and response (SOAR) tool.
"If there's one thing DoD and industry have done, it's try a whole bunch of different tools over the last 10 to 12 years. What we have to do now is string them all together to show which ones work best for the capabilities the Army needs today and divest the ones that they don't need," Peraton VP Jennifer Napper said.
OSCAL's goal is to enable compliance and security assessments to keep pace in complex, fast-moving, ever-changing DevSecOps environments.
After just three years, there are now 200 teams across DoD doing DevSecOps, which has saved, on average, a year and $12.5 million per app it’s been used to launch, the Air Force's Chief Software Officer says. When you consider the number of apps, that's significant. And now there's a push to make DevSecOps resources available to JADC2.
"We're only as fast as our slowest process," said JAIC's Lane, who is applying AI, machine learning, automation, and other tech to boost DoD's efficiency.
DISA, using automation, is reducing the time it takes to deploy mission applications in DoD cloud from a year, months, or weeks to hours.