Uninterrupted Production. Safe Operations. Resilient Infrastructure.

Critical ICS/SCADA assets operate on decades-old technologies and cannot be taken offline for patching. TrendAI™ delivers compensating controls like virtual patching to reduce risk without operational downtime, safeguarding vulnerable systems immediately despite OEM constraints or safety requirements.

Eliminate guesswork from risk and threat prioritization with proactive, AI-driven security that automatically evaluates and ranks issues by business impact.

Industrial supply chains rely on OEMs, integrators, contractors, and software vendors, each creating potential access gaps attackers can exploit. TrendAI™ identifies weak third‑party pathways and stops lateral movement before it reaches production.

This gives organizations control across multitier environments where vendor access and shared telemetry often extend beyond direct oversight, strengthening security without slowing operations.

Gain a comprehensive, real-time view of potential attack paths from an attacker’s perspective.

Distributed industrial sites often rely on small security teams to protect large estates. TrendAI™ automates investigations and repetitive tasks to reduce noise and accelerate response.

By removing manual overhead, your teams can focus on managing incidents that directly impact uptime and safety.

Automate security actions with playbooks to cut workload and speed investigations.

Operators face strict mandates like NERC CIP and TSA pipeline directives. TrendAI™ centralizes evidence collection, posture tracking, and reporting for easier audit preparation.

This ensures organizations can adapt to evolving regulatory requirements while maintaining continuous operational compliance.

Discover compliance gaps and associated risk across your organization.

AI models and pipelines used for predictive maintenance, anomaly detection, and grid optimization introduce new risks such as model tampering and data poisoning. TrendAI™ protects AI workloads end-to-end.

Enable safe AI adoption across manufacturing analytics, grid operations, and automated decision systems.