
Purpose
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 attend an in-person-only Collaboration Event to brainstorm limiting factors and potential solutions for the development of a containerized, cloud-native software application prototype designed to operate within the Cloud based Gabriel Nimbus big data platform. This prototype application will aggregate and correlate multi-source security logs to identify behavioral anomalies and indicators of compromise (IoCs) consistent with malicious cyber activity and Living-off-the-Land (LoTL) techniques.
Background/Synopsis
For some systems, security logs are ingested into Gabriel Nimbus and distributed across separate data Lakehouse buckets and tables organized by log type (Windows Event, DNS, HTTP, EDR, Netflow, Zeek, etc.). This siloed architecture creates significant operational friction:
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Manual Context Reassembly: Security analysts must manually correlate logs across multiple tables to establish behavioral context
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Inconsistent Analytics: Lack of automated correlation leads to missed detections and delayed threat identification
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Scalability Constraints: Current manual processes do not scale to enterprise-wide monitoring requirements
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Operational Inefficiency: Valuable analyst time is consumed on data wrangling rather than threat investigation
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The expectation is government purpose rights (GPR) in full perpetuity will be required
Questions?
For submission-related questions, please contact Brandon Sizemore at bsizemore@cyberfic.org and Amanda Green at agreen@cyberfic.org.
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Event Summary
On 06 May 2026, CFIC, in collaboration with U.S. Army Cyber Command Technology and Innovation Laboratory (ArCTIC), hosted an in-person Collaboration Event focused on the Behavioral Detection Anomaly Mission Application (ACECARD). The event brought together 41 attendees from 22 organizations across industry, government, and academia to explore innovative approaches for leveraging behavioral analytics and AI-driven cyber log context solutions within the Gabriel Nimbus big data platform. Through breakout sessions, brainstorming activities, and “Blue-Sky” presentations, participants collaborated on identifying limiting factors, refining problem statements, and developing potential solutions to support future cyber capabilities and operational mission needs.
Event Outcomes
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81 total registrants
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22 organizations represented
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41 attendees
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6 brainstorming groups
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4 breakout sessions
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6 "Blue-Sky" presentations were given to the audience and key stakeholders

