GDIT launches DOGMA for faster, smarter decisions across government missions
General Dynamics Information Technology has introduced the Defense Operations Grid Mesh Accelerator AI solution - DOGMA - for use across the federal enterprise. It blends AI, machine learning, cloud, and satellite connectivity to help teams process data faster and act with greater precision in complex operational environments.
Part of GDIT's Mission AI portfolio, DOGMA can run almost anywhere: from a single laptop in the field to devices operating in low Earth orbit. Agencies can configure it to mission specifics, integrate existing sensors and systems, and get decision-ready insights with minimal latency.
Where DOGMA fits
- Aerial threat detection and counter-UAS
- Critical infrastructure protection
- Intelligence analysis and fusion
- Border security and domain awareness
- Natural disaster early warning
- Public safety monitoring
- Transportation optimization
- Smart city traffic management
"As mission environments grow more connected and complex, speed and precision in decision-making have never been more critical," said Brian Sheridan, GDIT senior vice president for defense. "DOGMA will enable operators to act on information faster, anticipate emerging threats and maintain decision advantage. Agencies across the government can use this solution to support our nation's most vital priorities."
Proven in exercises
GDIT demonstrated DOGMA across multiple military and homeland security events last year. At the Technology Readiness Experimentation Event (T-REX-25-2), DOGMA monitored unmanned aerial systems and cut decision time from 30 minutes to 3 seconds.
During Cyber Fortress 2025 - a simulated cyber and physical attack on a power grid - DOGMA delivered real-time visibility into aerial threats and supported coordinated response across stakeholders.
What's under the hood
- AI/ML models for detection, tracking, prediction, and anomaly spotting
- Cloud and edge deployment options, including disconnected and contested environments
- Mesh networking and satellite connectivity for resilient data flow
- Open interfaces to plug into existing command-and-control, sensor feeds, and data lakes
Planned updates
- Quantum-safe encryption to future-proof sensitive data and mission traffic
- Adaptive large language model agents to improve human-machine collaboration
- Expanded interoperability across domains and operating environments
Why it matters for government teams
DOGMA compresses the time between sensing, analyzing, and acting. That's the difference between tracking a threat and stopping it, or between detecting a grid anomaly and preventing an outage.
Because it can run at the edge, in the cloud, or across both, agencies can align deployment with mission risk, connectivity, and cost. The mesh architecture keeps data moving, even when links are contested or bandwidth is tight.
How to get value quickly
- Start with a focused pilot: pick one mission thread (e.g., counter-UAS or grid incident response) and define clear performance metrics like time-to-decision and false-positive rate.
- Integrate progressively: connect priority sensors and datasets first, then add feeds in waves to avoid data chaos.
- Align with risk frameworks: map use to the NIST AI Risk Management Framework to govern model performance, bias, and oversight.
- Plan for crypto agility: track NIST's work on post-quantum cryptography (NIST PQC) and prepare key management for quantum-safe upgrades.
- Prepare the workforce: upskill operators and analysts on AI-assisted workflows and model oversight. For role-based training, see curated AI courses by job.
Bottom line
DOGMA gives defense, intelligence, and civilian agencies a practical way to speed analysis and improve operational decisions without rebuilding their tech stack. The early results - seconds instead of minutes - show what's possible when AI operates close to the mission and data moves reliably across domains.
With quantum-safe encryption and LLM agents on the roadmap, the platform is set to keep pace with both threats and policy. Agencies that pilot now will be better positioned to scale secure, mission-ready AI when it counts.
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