Hybrid warfare, cyber threats, and international tensions require defense and intelligence operations to innovate rapidly—without compromising classified data. Dedomena.AI enables military and security institutions to leverage synthetic data, simulate operational scenarios, and train AI models under strict privacy and security standards.
Dedomena.AI can be a key player in the technological
backbone of the European rearmament plan thanks to
its ability to:
Generate synthetic data for simulation and
training
Supports the development of AI models in scenarios
without exposing classified or real-world data.
Ideal for hybrid threat simulation, war scenarios,
logistics resilience, autonomous surveillance, etc.
Strengthen the cyber defense and resilience of
critical systems
Train cyber threat and anomaly detection systems
using synthetic data. Modeling cyberattack logs,
hostile agent behavior, and stress testing.
Accelerate European technological
interoperability
Its platform can help multiple Member States share
synthetic intelligence and standardized training
datasets without compromising real-world data.
Facilitates joint training of defense systems with
NATO/EU interoperability.
Modernize defense logistics, predictive
maintenance, and deployment optimization
Training predictive models for military equipment
maintenance and optimizing tactical supply chains.
Dedomena.AI is a deep tech company that provides a privacy-first, AI-powered synthetic data platform designed to unlock secure, scalable, and compliant AI in highly sensitive and regulated environments. In the context of the European Defence Readiness 2030 strategy, Dedomena.AI is uniquely positioned to support interoperable data infrastructures, simulation, AI development, and privacy-compliant data sharing across EU member states and allied defence institutions.
Simulation & AI Training Infrastructure
Secure Intelligence & Data Collaboration
Dual-Use AI Enablement
Cyber Resilience & Threat Intelligence
Model Interoperability & European Standards
Dedomena.AI enables defence organizations to simulate battlefield scenarios, cyber threats, logistic flows, and equipment maintenance using high-fidelity synthetic data-without exposing classified data.
Facilitates privacy-compliant sharing of structured datasets across EU defence partners, allowing joint AI mmodel training, interoperability testing, and multinational cooperation.
The platform enables defence institutions and industrial players to co-develop AI models for both defence and civilian resilience (e.g., logistics, crisis response, infrastructure protection).
Dedomena.AI supports synthetic data generation for red teaming, anomaly detection, and AI-powered cybersecurity tools to train against evolving cyber-attack patterns.
Dedomena.AI's modular infrastructure supports the development of interoperable synthetic datasets aligned with European Defence Fund (EDF) and NATO standards.
In an era defined by hybrid threats, cyber warfare, and geopolitical uncertainty, the ability to leverage artificial intelligence while preserving data integrity and national security has become critical. Dedomena.AI offers a privacy-preserving AI infrastructure that enables defense and security agencies to unlock powerful insights from sensitive data through synthetic data generation, model development, and secure data sharing.
Defense agencies can use Dedomena.AI to create synthetic representations of battlefield environments, troop movement, and terrain response without exposing sensitive operational data. These high-fidelity simulations support strategic planning, AI model training for autonomous systems, and war-gaming exercises.
Dedomena.AI enables allied nations to share intelligence datasets without compromising national security or violating data sovereignty agreements. By synthesizing classified datasets, partners can collaborate on threat assessments and counter-intelligence models using data that preserves statistical fidelity but contains no real-world identifiers.
Dedomena.AI supports cyber warfare and defense by generating synthetic logs of attack vectors, malware behaviors, and network anomalies. These datasets can be used to test and harden cybersecurity systems, conduct red team exercises, and train AI models for threat prediction under controlled, anonymized conditions.
Using enriched synthetic datasets, military and security organizations can model internal behavioral patterns to detect anomalous activities that may signal insider threats. Dedomena.AI's AI applets can be tailored to monitor access logs, communication metadata, and physical movements while preserving privacy.
Much of the defense sector's data is off-limits for AI developers due to classification. Dedomena.AI can generate synthetic datasets derived from classified sources, enabling model development and training by external AI vendors without ever exposing the original data.
Dedomena.AI can generate synthetic datasets based on operational communications logs, allowing training of NLP and anomaly detection models for understanding delays, disruptions, or irregularities in command structures. This supports the development of secure and efficient communication protocols.
Predictive models trained on synthetic operational and diagnostic data can help forecast mechanical failures in aircraft, tanks, and naval vessels. Dedomena.AI enables simulation of wear patterns, anomaly detection, and performance degradation to improve maintenance planning.
By simulating real-world deployment scenarios using enriched synthetic geospatial data, Dedomena.AI enables military planners to optimize troop deployments, supply chain logistics, and route selection under a range of environmental and threat conditions.
Defense forces often participate in disaster response and humanitarian missions. Dedomena.AI can simulate population movements, resource distribution, and emergency scenarios using synthetic datasets that support training and AI-powered coordination tools.
Using multi-domain data sources—economic, military, social—Dedomena.AI can synthesize structured geopolitical indicators to simulate potential flashpoints and forecast international crisis scenarios. These synthetic datasets support strategic foresight and risk mitigation modeling.
Dedomena.AI enables rapid synthesis of threat intelligence reports by training NLP models on synthetic data derived from previous incident records. This allows for automated classification and prioritization of emerging threats across military theaters.
Using historical attack patterns, funding traces, and location-based behaviors, Dedomena.AI can generate synthetic data to train models for detecting terrorist networks or preemptive threat indicators—without disclosing sensitive intelligence sources.
By synthesizing training logs, personnel availability, and deployment data, Dedomena.AI supports the development of readiness models that forecast unit preparedness and optimal force configuration under evolving mission profiles.
Modeling civilian movement, response patterns, and law enforcement tactics under hypothetical protest or unrest conditions can be achieved with synthetic demographic and behavior data, supporting national security planning without violating civil data privacy.
Synthetic data can mimic infiltration attempts, false identity patterns, and deceptive behavior, helping train AI tools that detect and counter foreign intelligence operations through behavioral prediction and digital trail analysis.
Dedomena.AI can synthesize budget performance data and link it to operational outcomes to train ML models that recommend optimal spending across logistics, R&D, personnel, and equipment for improved resource efficiency.
Modeling synthetic consumption patterns for critical resources across various conflict scenarios allows commanders to forecast demand, anticipate shortages, and plan resupply logistics under complex operational constraints.
Using synthetic risk profiles, Dedomena.AI helps simulate the impact of attacks, natural disasters, or cyber breaches on critical defense infrastructure to develop resilient systems and contingency playbooks.
Synthetic datasets enable the development of ethically compliant decision-support models by simulating rules of engagement, civilian proximity factors, and legal case data—ensuring AI alignment with international humanitarian law.
Dedomena.AI can simulate logistics, personnel rotation, threat levels, and travel times across multiple theaters of operation to recommend optimal troop movement schedules and reduce logistical bottlenecks.
Check out some of our explanatory articles or
cross-industry
use cases to know more
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