Agentic C2 Framework Tool (ECHOTRIBBLE) Assessment Event

Closed Special Notice Posted

Solicitation number
W519TC-26-AE-ECHO
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

NAICS code
541330 Engineering Services
Place of performance
Augusta, Georgia, United States
Points of contact

Notice details come from SAM.gov. Updated .

About this opportunity

The Department of the Army, through the Cyber Fusion Innovation Center (CFIC) in collaboration with U.S. Army Cyber Command (ARCYBER) and Army Cyber Technology and Innovation Center (ArCTIC), invites qualified industry partners to submit whitepapers by August 13, 2026 for development of an Agentic C2 Framework tool (ECHOTRIBBLE) designed to autonomously navigate digital infrastructures, identify threats, and neutralize identified targets.

The prototype must implement a modular, autonomous agent capable of navigation, environmental observation, and anomaly detection across digital environments. The solution will improve operational consistency across lines of effort that currently require manual or AI-assisted processes. Interested contractors should submit whitepapers demonstrating capability to develop this solution. An assessment event is scheduled for October 6–8, 2026. The solicitation number is W519TC-26-AE-ECHO, designated as Engineering Services (NAICS 541330). No set-aside applies. Additional submission requirements and evaluation criteria are contained in the attached release document.

Notice text

The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) and Army Cyber Technology and Innovation Center (ArCTIC), invites qualified industry partners to submit a whitepaper based on the included criteria for the development of an Agentic C2 Framework tool designed to autonomously navigate infrastructures, identifying and neutralizing identified threats/targets. This prototype will implement a modular, autonomous agent capable of navigation, environmental observation, and anomaly detection across digital environments and improving consistency across lines of effort that would occur without AI assistance.

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