Perspecta Labs wins $14.5 million award for autonomous defensive cyber operations

CHANTILLY, Va., April 22, 2020 /PRNewswire/ -- Perspecta Inc. (NYSE: PRSP), announced today that its innovative applied research arm, Perspecta Labs, was awarded the Autonomous Defensive Cyber Operations program from the U.S. Army Combat Capabilities Development Command, Command (CCDC), Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance Center (C5ISR), Space and Terrestrial Communications Directorate. The program, which represents new work for the company, has a five-year period of performance, including options and total potential value of $14.5 million.

The objective of the program is to develop a suite of cyber capabilities for the U.S. Army that are autonomous, secure, easy to deploy and configure, adaptive and resilient to adversarial deception. On the program, Perspecta Labs will research, design, develop, demonstrate and deliver a machine learning for defensive cyber operations solution for training, rapidly deploying and retraining containerized cyber sensors that detect both known and unknown vulnerabilities, attacks and malware. These highly autonomous capabilities are lighter weight and much quicker to respond than traditional approaches that require human intervention which is critical in the dynamic and resource-constrained tactical environment.

"Perspecta Labs will leverage its extensive expertise in machine learning, cybersecurity and tactical networking to provide innovative and effective autonomous defensive cyber operations to the Army," said Petros Mouchtaris, Ph.D., president of Perspecta Labs. "We are honored to have been selected to develop a solution that meets the Army's tactical needs for autonomy, security, ease of use, adaptability, efficiency and robustness."

Perspecta Labs' solution will utilize the company's novel machine learning paradigm called LUPI (Learning Using Privileged Information) to create highly accurate cyber sensors in a heterogeneous environment. These cyber sensors are resilient to adversarial machine learning attacks and can be efficiently and dynamically retrained to take into account the large variations present in the tactical environment. The solution's architecture harnesses these cyber sensors to detect diverse attacks and incorporates a cognitive agent for automatically generating courses of action for the cyber defender.

About Perspecta Inc.

At Perspecta (NYSE: PRSP), we question, we seek and we solve. Perspecta brings a diverse set of capabilities to our U.S. government customers in defense, intelligence, civilian, health care and state and local markets. Our 270+ issued, licensed and pending patents are more than just pieces of paper, they tell the story of our innovation. With offerings in mission services, digital transformation and enterprise operations, our team of 14,000 engineers, analysts, investigators and architects work tirelessly to not only execute the mission, but build and support the backbone that enables it. Perspecta was formed to take on big challenges. We are an engine for growth and success and we enable our customers to build a better nation. For more information about Perspecta, visit

This press release may contain forward-looking statements. These forward-looking statements are made on the basis of the current beliefs, expectations and assumptions of the management of Perspecta and are subject to significant risks and uncertainty. Readers are cautioned not to place undue reliance on any such forward-looking statements. All such forward-looking statements speak only as of the date they are made, and Perspecta undertakes no obligation to update or revise these statements, whether as a result of new information, future events or otherwise. Although Perspecta believes that the expectations reflected in these forward-looking statements are reasonable, these statements involve a variety of risks and uncertainties that may cause actual results to differ materially from what may be expressed or implied in these forward-looking statements.

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