Critical Infrastructure
Infrastructure AI
AI That Performs. Infrastructure That Holds.
Fourier Defense brings the data fusion, simulation, and zero-trust discipline we build for contested military operations to the transportation networks and critical infrastructure communities depend on every day — so agencies can adopt AI knowing it will perform, and knowing it will hold up against the adversaries already targeting it.
Production-grade AI for traffic, safety, and asset operations.
Cyber security and data resilience engineered in, not bolted on.
Vendor-neutral, API-first integration with the systems agencies already own.
Infrastructure Is Now a Target — and a Data Problem
Transportation agencies are moving AI from pilot to production: adaptive signal control, computer-vision safety monitoring, automated asset inspection, incident detection, and connected-vehicle corridors. Every step makes daily operations more dependent on continuously available, trustworthy data — and widens the attack surface.
That attack surface is already being exploited. In February 2024, CISA, NSA, and the FBI warned that state-sponsored actors from the People's Republic of China had compromised U.S. critical infrastructure organizations — including in the transportation systems sector — and were pre-positioning to disrupt operations in the event of a crisis or conflict. In recent years, state transportation agencies have seen cyberattacks take traveler-information systems, traffic cameras, and transit scheduling offline for days to weeks.
Meanwhile, most transportation AI is bought as point solutions: one vendor for signals, another for asset inspection, another for incident detection — each with its own data silo and its own security posture. Anyone who has worked in defense knows the result: stovepiped systems that don't talk to each other, and no single view of whether the whole picture can be trusted.
Cyber Security, Data Resilience, and AI — All Three
AI vendors in this market tend to lead with performance, with security in the background. Security vendors protect operational networks but don't deliver the AI. Fourier Defense competes on all three at once, because an agency needs all three in the same system.
Production-Grade AI
Models for signal timing, incident detection, safety analytics, and asset condition, built to run in production, with outcomes defined and measured before a pilot begins.
Cyber Security for Transportation Systems
Zero-trust architecture, continuous anomaly detection, and NIST- and CISA-aligned controls for traffic management centers, field devices, and connected-vehicle infrastructure.
Data Resilience
Operator-visible data lineage, integrity monitoring, and graceful degradation, so when a feed is lost, spoofed, or corrupted, operations keep running and operators know which data to trust.
Signal to Response — the same chain we build for the warfighter, applied to the network every citizen depends on.
Where We Apply It
We focus on the use cases where state and local agencies are putting real budget today — and where reliability and security matter most.
Traffic Management Center Intelligence
A fused operating picture across cameras, sensors, signal systems, and third-party feeds, with machine learning that surfaces congestion and anomalies before they cascade. Built on the same fusion architecture as our live Common Operating Picture.
Adaptive Signal Analytics & Hardening
Fuse signal, detection, and probe data to improve timing, and secure the controller networks those timing decisions run on.
Incident & Crash Detection
Computer vision and sensor fusion that detect crashes and stalled vehicles in seconds, shortening response times and reducing secondary-crash risk.
Asset Condition & Digital Twins
AI-assisted assessment of pavement, bridges, signs, and guardrails, feeding continuously updated digital twins for maintenance planning and capital prioritization.
Connected-Vehicle (V2X) Corridors
Decision support and message-integrity protection for vehicle-to-everything deployments, where a spoofed message is a safety event, not just an IT event.
Weather & Emergency Operations
Edge-deployed AI that keeps winter operations, evacuations, and disaster response running when connectivity is degraded or lost.
Built on Our Platform Architecture
Infrastructure AI is not a separate technology stack. The same architecture behind our defense platforms extends directly to civilian infrastructure:
FourierData
A unified operational data layer that fuses signal, sensor, camera, probe, and vendor feeds, with lineage tracking and role-based access controls, so every decision can be traced to its source.
Learn MoreFourierSim
Digital-twin and scenario simulation to test signal plans, incident response, evacuations, and cyber-attack scenarios before they happen on the road.
Learn MoreFourierEdge
Resilient planning and execution built for degraded, intermittent, and low-bandwidth conditions, extended to field crews, winter operations, and emergency response.
Learn More
How We Engage
Infrastructure AI & Cyber Readiness Assessment
A structured assessment of an agency's AI maturity and cyber exposure, benchmarked against peers. Fourier Defense has already assessed AI maturity across all 50 state departments of transportation and the District of Columbia on a five-dimension framework.
Cyber Hardening for ITS and Operational Technology
Security architecture and controls for intelligent transportation systems, aligned to the NIST Cybersecurity Framework, NIST SP 800-82 for operational technology, and CISA's Cross-Sector Cybersecurity Performance Goals.
AI Governance for Public Agencies
Human-in-the-loop controls, NIST AI Risk Management Framework alignment, and practical policies for generative AI use: documentation that stands up to legislators, auditors, and the public.
Grant-Aligned Pilots
Pilots scoped to federal programs such as SMART and ATTAIN, with measurable outcomes defined up front (delay, crashes, detection time, inspection cost), so success is provable and scalable.
Integration Without Lock-In
API-first integration that works alongside the signal, camera, and analytics systems an agency already owns, integrating and hardening them rather than ripping and replacing.
Why Fourier Defense
Defense-Grade Security, Civilian Mission
We build for adversaries who are actively trying to break the system. That threat model now applies to the roadway.
Vendor-Neutral by Design
Open, modular components connect to existing systems and data standards, so agencies are never locked into a single vendor's roadmap.
Explainable, Operator-in-the-Loop AI
Recommendations remain traceable to their source data, so operators, engineers, and auditors can see why and override when judgment says otherwise.
Outcome-Driven
We agree on the measures of success before work begins, and report against them.
Design-Partner Engagement
Early agency partners shape the platform around their network, their data, and their priorities, rather than adapting to a product built for someone else.
Who We Serve
- State departments of transportation
- Cities, counties, and metropolitan planning organizations
- Toll, turnpike, and transit authorities
- Port, airport, and rail operators
- Allied and partner nations modernizing national infrastructure
Defense First, Built to Extend
Defense is — and remains — our founding focus. Infrastructure AI is a dedicated line of business built on that foundation: the same engineering, the same security standards, and the same governance discipline, applied to the civilian systems that national security ultimately depends on.
Where does your agency stand?
Start with a readiness assessment — a clear picture of your AI maturity, your cyber exposure, and the highest-return next step.