Tactical Zero Trust

Abstract

Investigate concepts of Zero Trust that can be adapted to tactical network architectures. Extend concepts developed under current Dynamic Access Control - Tactical (DAC-T) to include non-person entities (NPE) (e.g., systems, applications, devices, robotic process automation (RPA) & services). Create an efficient data-in-use service to limit decryption and exfiltration of high value information. Include graceful degradation of capability for Person/NPE access based on Indicators of Compromise (IoC). Investigate open standard methods to create playbooks while assuring safe parallel execution of such playbooks. Effort will mature a capability that performs adversarial assessments on machine learning models to make them more robust to adversarial manipulation.

Document Details

• Document Type: Accomplishment
• Publication Date: Oct 01, 2025
• Source ID: d7f35b4fbb861022b68014bcc368d347

Tags

Fields of Study

• Computer science

Readers

• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Cybersecurity.
• Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

• AI & ML
• AI & ML - DoD AI Strategy
• AI & ML - Neural Networks
• Autonomy
• Autonomy - Human-Robot Interaction