AEROFORT
AEROFORT
Autonomous detection, correlation, and response across IT, OT, and IoT networks — engineered for Europe's most critical transportation systems.
Purpose-built machine learning models, engineered for the operational realities of airport networks — from passive asset discovery to autonomous containment.
AI algorithms autonomously identify and classify every IT, OT, and IoT device across complex airport networks with zero operational impact.
Neural networks trained on aviation-specific environments to anticipate and flag attack patterns before they manifest.
Self-learning orchestration contains and remediates verified threats without human intervention, minimizing response latency.
Machine learning baselines normal operations and flags subtle deviations indicative of insider threats or compromised accounts.
Automated documentation and reporting aligned with EASA, NIS2, and ISO 27001, built to simplify continuous audit readiness.
AI-managed segmentation isolates IT, OT, and IoT zones by default, containing any breach to the smallest possible network footprint.
A stylized view of how the Aerofort core correlates telemetry across distributed airport nodes in real time.
Simulated network topology — illustrative of platform capability, not live customer data.
Purpose-built artificial intelligence systems engineered exclusively for aviation infrastructure security, delivering uncompromising protection for Europe's most vital transportation networks.
Self-evolving neural networks continuously enhance defensive capabilities through sophisticated machine learning, keeping pace with emerging cyber threats.
Enterprise-grade AI with full audit trails and explainable decision-making, built for accountability and regulatory compliance with EU cybersecurity directives.
Correlation algorithms designed to minimize operational disruption by surfacing only verified, actionable intelligence to security teams.
Illustrative scenarios showing how Aerofort's platform is designed to respond to threats airport networks face today.
Baggage-handling control traffic deviates from its established baseline. The platform isolates the affected segment and alerts operators before the anomaly can spread.
Behavioral analytics detects a privileged account operating outside its normal access pattern and automatically escalates for review.
Predictive correlation flags an unrecognized exploit pattern moving between IoT and OT segments, triggering automated containment playbooks.
The functional disciplines behind the platform — the teams responsible for building and operating it as Aerofort moves from architecture to pilot deployment.
Monitors detection accuracy, tunes response playbooks, and coordinates with airport security teams during pilot engagements.
Develops and trains the anomaly-detection and threat-prediction models on aviation-specific network data.
Maps platform capabilities to EASA, NIS2, ISO 27001, GDPR, and NIST CSF requirements for European aviation operators.
Builds the ingestion, orchestration, and dashboard infrastructure that powers real-time visibility across airport networks.
European aviation infrastructure processes millions of critical data transactions daily across interconnected systems. Conventional cybersecurity solutions cannot operate at the velocity and precision required to defend against nation-state actors and sophisticated criminal organizations targeting our transportation networks.
Aerofort is building AI-driven security purpose-made for aviation, transforming operational data into actionable intelligence and working toward an autonomous defense layer that operates at the speed modern threats demand.
To become the definitive artificial intelligence platform for aviation cybersecurity — deploying autonomous defense systems that anticipate, neutralize, and eliminate threats before they compromise Europe's critical transportation infrastructure.
Aerofort's architecture and reporting are designed from day one to align with the frameworks governing European aviation infrastructure.