Leidos was awarded an $8.8 million contract from the Defense Advanced Research Projects Agency (DARPA) to develop Intelligent Generation of Tools for Security (INGOTS). INGOTS is a program to develop automated analyses to protect mobile operating systems from high-severity chained vulnerabilities in mobile device software, thereby enabling timely discovery and mitigation of dangerous vulnerabilities in mobile devices. INGOTS will help secure the mobile operating systems and applications.
“Complex system software can include a myriad of low-level vulnerabilities that can be exploited when chained together for a high severity impact,” said Artie Mabbett, leader of the Leidos Innovations Center, or LInC. “Our work on INGOTS aims to automate the search through large amounts of software to identify, prioritze, and mitigate vulnerability chains before they can be used in a cyber attack.”
Using a graph neural network to model exploit chains, Leidos will utilize machine learning to analyze those chains for severity and persistence. The company will also use large language models to distill threat intelligence from cybersecurity threat databases and will employ its Trusted Mission AI expertise to analyze recently patched systems to assess the robustness.
“Our work in Trusted Mission AI really helps us in securing these systems for our warfighters because we can use it to not only confirm a patch works, but also locate other paths where the original vulnerability could possibly be utilized again,” said Ray Richards, head of LInC’s information and data sciences division. “INGOTS will take a lengthy, manual process and reduce it to a quick review that constantly keeps updating and testing to protect our troops’ communications.”
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