EdgeLabs: Industries - Smart Cities

Security Challenges in the Smart Cities Industry

As smart cities become more connected, their infrastructure is increasingly exposed to cyber threats targeting operational technology (OT). Regulations like NIS2 and the EU Cyber Resilience Act (CRA) now mandate built-in intrusion detection and response. Without it, cities risk both operational disruption and non-compliance - making advanced runtime protection no longer optional, but essential.

The Most Common Cyber Threats

IoT-to-Edge Attack Paths

Compromised sensors pivot into edge gateways or SCADA controllers.

Data Breaches

Exposure of citizen and sensor data through weak API or cloud endpoints.

Ransomware Attacks

Disruption of essential services like public transportation, utilities, or emergency response systems.

DDoS Attacks

Distributed Denial-of-Service (DDoS) attacks can cripple smart city services, leading to chaos and loss of trust.

Zero-Day Exploits

New vulnerabilities in software and hardware systems can be exploited before patches are available.

How AI EdgeLabs Secures Smart Cities

Lightweight Runtime Protection at the Edge

Deployed directly on edge devices or orchestrators, our kernel-level AI agent inspects and responds to malicious behavior in real time - even in disconnected environments.

AI-Driven Threat Detection

Combines machine learning and GenAI to detect novel, behavior-based threats across distributed workloads, including GPU-accelerated AI inference nodes often left unprotected.

End-to-End Visibility Across City Infrastructure

Unified monitoring across cloud, on-prem, and edge environments - from traffic lights to city-wide datacenters, ensuring a cohesive security posture.

Autonomous Response with AI-Generated Playbooks

Automates incident response with AI-driven playbooks tailored to smart city-specific threats, reducing response times and minimizing human error, and ensuring cyber-resilience.

Virtual Patching & Compliance Readiness

Rapidly shield unpatched vulnerabilities in cloud services, OT software, and ML toolchains - enabling NIS2, CRA, and ISO 27001 compliance without halting operations.

Automated SOC & Reporting

Correlates events across cloud-native, edge, and on-prem systems in a single runtime layer, bridging the gap between IT and OT visibility, provides contextual insights on each of the alert and incident, and helps to generate reports on incident severity and mitigation.

Scalable by Design

AI EdgeLabs is containerized, tenant-based, and optimized for resource-constrained environments. Easily scales across thousands of smart endpoints - from smart grids to GPU vision clusters.

Built to Protect Cities

Compliance-Driven Procurement

Meet NIS2 and EU CRA requirements to enable contracts with regulated clients.

Lower Operational Risk & Cost

Prevent attacks and service disruptions with minimal hardware and lower TCO than legacy solutions.

Continuous Operations

Ensure uninterrupted, real-time protection for critical systems and infrastructure.

Discover how AI EdgeLabs secured
a leading smart city from ransomware and
DDoS attacks.

Read the Case Study

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