The invisible battlespace, turned into decision superiority.
DefAgent fuses autonomous logistics with live intelligence from Earth observation and cyber sensor networks — unifying siloed battlefield tools into a single, Kubernetes-native operating system that empowers joint forces with seamless Sense–Evaluate–Effect cycles.
Today's battlefields are data-rich but wisdom-poor.
Disconnected tools create dangerous delays and vulnerabilities. Every siloed system is a decision made too late — a convoy re-routed after the ambush, a breach found after the exfiltration.
- ▸Fragmented data — 80% of defense suppliers are small businesses; proprietary systems silo the information that should flow.
- ▸Delayed threat response — manual "stubby-pencil" logistics planning slows crisis response by 8+ minutes, a critical gap in high-stakes scenarios.
- ▸Interoperability failures — legacy systems block modern drone and sensor integration, compromising blue-force tracking and coordination.
A defense ecosystem that learns, adapts and responds faster than the threat.
We deliver an integrated platform fusing AI-powered logistics orchestration, autonomous deception intelligence, and continuous Earth and cyber monitoring — enhancing mission agility, survivability and precision in contested environments.
- ▸Rapid deployment — Kubernetes-native, containerized workflows keep you mission-ready in dynamic theaters.
- ▸Tamper-proof by design — hardened baselines and cryptographically signed, immutable logs guarantee auditable trails.
- ▸Cognitive overload — for them — AI-driven deception injects uncertainty into the adversary's decision cycle, not yours.
One platform, nine composable capabilities.
Deploy the OS, activate only what the mission needs. Every capability is labeled with its honest status.
AI-Powered Logistics Operational
Predictive and autonomous supply chain routing with real-time risk adaptation across contested terrain.
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Cyber Threat Intelligence Operational
Continuous detection of scanning, intrusions and emerging campaigns using a globally distributed sensor array.
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Autonomous Cyber Deception Operational
AI-driven deployment of decoy services and synthetic agents to mislead, slow and expose threat actors.
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APT Defense Operational
Proactive profiling and disruption of sophisticated, state-sponsored and persistent adversaries.
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Insider Threat Detection Operational
Behavioral analytics combined with deception assets to identify anomalous internal access.
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Ransomware Mitigation Operational
Real-time risk assessment, segmentation and decoy data assets that isolate and neutralize threats.
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Real-Time Earth Intelligence Operational
Environmental and spatial data integration for routing, physical threat avoidance and situational awareness.
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Federated Mission Ops Integration
Secure, multi-tenant architecture for cross-agency, coalition and joint-force coordination with strict data segmentation.
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Deception-Enhanced Zero Trust Roadmap
Adaptive deception woven into Zero Trust architectures — behavioral verification and misdirection at every layer.
Explore →Intelligence you can act on.
Battlefield clarity, mission speed and zero-day resilience — analytics fused with AI, satellite intelligence and tactical edge computing.
Real-Time Fusion Intelligence
SAR + optical imagery synced with TAK CoT for dynamic battlefield overlays, anomaly alerts and 3D terrain-aware insight.
AI Auto-Routing + Threat Prediction
Models cross-reference fuel, terrain, EW threats and known CVEs to re-route missions and predict ambushes before they happen.
3D Mission Visualization
Immersive, NATO-compliant OOB maps enriched with AI and satellite data. Simulate operations before they start.
Change Detection & Anomaly Alerts
Task new satellite imagery and get instant notification of changes to terrain, heat signatures and infrastructure integrity.
Exploit Intelligence
Active scanning for zero-day, CVE-based and nation-state tactics mapped onto geospatial coordinates — synced with OpenC2.
Encrypted Edge + Secure TAK Comms
Ruggedized, tamper-proof hardware with full TAK chat, WinTAK overlays and AI-assisted UI for frontline decision-makers.
Built for your mission profile.
The same operating system bends to fit a joint task force, a national agency, a power grid or a global enterprise.
Joint Forces & Defense
Unify logistics, ISR and cyber into one Sense–Evaluate–Effect loop — decision superiority under DDIL conditions.
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Government Agencies
National-scale threat detection with traceability, compliance-first design and cryptographically auditable trails.
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Critical Infrastructure
Protect energy, water and communications with active deception that turns intruders into intelligence sources.
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Enterprise Security
APT defense, insider detection and ransomware mitigation — military-grade protection for commercial operations.
See the solution →Three steps from silos to superiority.
Containerized, composable, contested-ready. Deploy it, fuse it, act on it.
Deploy the OS
Kubernetes-native rollout across cloud, on-prem or tactical edge — scalable workflows in hours, not quarters.
Fuse your sensors
Connect Earth observation, cyber sensor networks and logistics feeds into a single geospatial picture.
Act with effect
Activate auto-routing, deception and mission analytics — Sense–Evaluate–Effect cycles measured in seconds.
Built for denied environments
Denied, Degraded, Intermittent and Limited-bandwidth (DDIL) conditions are the baseline, not the exception. Threat activity is continuously fused with geospatial and mission-level context, enabling secure, adaptive planning when connectivity fails.
AI-native threats, handled before attackers do.
LLM-powered systems introduce risks traditional security models overlook: prompt injection, insecure output handling, training data poisoning, excessive agency and sensitive information disclosure. DefAgent tests for all of them.
Prompt Injection
Adversarial red-teaming against injection and jailbreak attempts that try to override system instructions or manipulate output.
Insecure Output Handling
Validation of generated responses to prevent logic flaws, injection risks and unintentional disclosure of sensitive data.
Data Poisoning & Leakage
Detection of poisoned training data, context leakage across sessions and input hijacking in LLM-integrated APIs.
- ▸Data minimization — only required data is processed, with strict input/output filters.
- ▸No retention without consent — customer data is never stored, logged or used for training unless explicitly authorized.
- ▸Private AI workflows — isolated LLM environments, never shared across tenants.
- ▸Compliance-first design — aligned with GDPR, CCPA and SOC 2 frameworks.
- ▸End-to-end encryption — sensitive data encrypted in transit and at rest, including AI interactions.
- ▸Full auditability — every AI action logged, without exposing data, for traceability and review.
Ready to redefine the cognitive battlespace?
From awareness to advantage — fuse intelligent command and autonomous cyber deception for asymmetric superiority.