Autonomous Cyber Advanced Technology
This project demonstrates defense capabilities against adversarial attacks using artificial intelligence (AI) and machine learning (ML) to evade detection and deceive the automated technologies supporting the network's defensive cyber posture.. This project will provide defensive cyber operations (DCO) software tools for multi-domain operations and enable tactical network cyber defenders with machine learning (ML) and artificial intelligence (AI) capabilities. This project matures and demonstrates RF-enabled cyber approaches to Disrupt, Deny, Degrade, Destroy and Manipulate (D4M) adversary C2ISR systems and capabilities. Furthermore, in full alignment with ARCYBER "reprogrammability" efforts, field-based exercises will focus on demonstrating new methodologies for the development of EW/OCO effects that are more readily implemented, upgradable and portable across different Army platforms. Work in this project complements Program Element (PE) 0602276A (Electronic Warfare Cyber Applied Research) / Project A79 (Autonomous Cyber Technology). Work in this project is performed by the Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance, and Reconnaissance (C5ISR) Center.
FY2027 planned work Details provided under separate cover.
FY2026 to FY2027 change Details provided under separate cover.
FY2026 plans — current year Will mature subset of predictive algorithms that autonomously identify, learn, and react to changes in network/cyber threats to ensure end-to-end network communications resiliency against adversarial AI-driven cyberattacks; mature the use of artificial intelligence and machine learning (AI/ML) to dynamically adjust micro-segmentation in response to cyber activities to harden and protect tactical networks.
FY2027 planned work Details provided under separate cover.
FY2026 to FY2027 change Details provided under separate cover.
FY2026 plans — current year Will develop and demonstrate hybrid certificates with combinations of the National Institute of Standards and Technology (NIST) selected Post Quantum Cryptography (PQC) algorithms and demonstrate impacts on hardware tokens, such as smart cards; develop and demonstrate migration procedures to help implement PQC migration with the least disruption to system operation.
FY2027 planned work Details provided under separate cover.
FY2026 to FY2027 change Details provided under separate cover.
FY2026 plans — current year Will mature and demonstrate OCO/RF-enabled access and effects against adversary priority targets of interest; demonstrate reprogrammability and portability of new EW effects across Army tactical EW platforms and systems; mature and demonstrate automation concepts that reduce OCO/RF-enabled mission time to execution.