Darktrace Recognized as the Only Visionary in the 2026 Gartner^® Magic Quadrant^™ for CPS Protection Platforms

Darktrace is proud to announce that Darktrace / OT has been recognized as the only Visionary in the 2026 Gartner^® Magic Quadrant^™ for CPS Protection Platforms, marking the second consecutive year Darktrace has held this position.

Why Darktrace / OT Stands Apart in CPS Security

As industrial environments continue to converge with enterprise infrastructure, security leaders are being asked to reduce cyber risk in systems where uptime, safety, and regulatory requirements limit traditional security approaches. Teams need to understand how risk develops across the environment, investigate threats with greater speed and clarity, and prioritize mitigation based on operational impact.

Darktrace / OT is built for that challenge. It combines cross-domain visibility, detection and investigation with Self-Learning AI, bespoke risk management beyond CVEs, and OT-relevant workflows that support both security outcomes and operational resilience.

Unified Visibility Across Converged CPS Environments

Critical infrastructure expands beyond traditional OT networks to include engineering workstations, HMIs, remote access pathways, enterprise systems, and cloud-linked infrastructure. Teams need to understand how assets relate, where dependencies exist, and how exposure develops across domains.

Darktrace / OT provides unified visibility across OT, IT, IoT, and IoMT to help organizations understand cyber risk across connected industrial environments. By bringing telemetry together through capabilities such as Operational Overview, OT workflows, and deep protocol inspection, Darktrace helps engineers and security teams work from shared context and a more operationally relevant understanding of the environment they are defending.

Enhanced Threat Detection, Investigation, and Response Powered by Self-Learning AI

Signatures can still provide value for known threats, but they fail against insider misuse, zero-day exploits, and custom-built malware designed for targeted operations. Darktrace / OT uses Self-Learning AI to detect subtle deviations from normal behavior across industrial environments where threats often appear through abnormal communications, misuse of legitimate access, or suspicious device behavior rather than known malware.

To improve incident investigation, Darktrace’s Cyber AI Analyst automatically correlates activity and produces contextual summaries to reduce manual triage effort and help teams move faster from alert to understanding.

Contextual Risk Prioritization Based on Operational Relevance

Teams need the right tools to shift from reactive defense to proactively thinking about their security posture. However, most OT teams are stuck using IT-centric tools that don’t speak the language of industrial systems, are consistently overwhelmed with static CVE lists, and these tools offer no understanding of OT-specific protocols.

Darktrace / OT helps organizations move beyond static vulnerability lists by prioritizing cyber risk based on operational context. By incorporating asset criticality, network relationships, exploitability, and operational impact, Darktrace enables teams to make informed decisions about where to focus their efforts.

Darktrace / OT is built to address the realities of modern industrial defense, securing converged IT, OT, and IoT environments, applying Self-Learning AI to detect known, unknown, and novel threats, accelerating investigations and prioritizing risk based on operational impact.

This unique approach supports the flexible deployment models required by complex critical infrastructure organizations.

We encourage organizations evaluating CPS security platforms to review the full report to gain a comprehensive view of the market. Darktrace’s position as the only Visionary for the second consecutive year reflects the strength of our innovation, product execution, and long-term strategy for CPS security.

Darktrace / OT is built to address the realities of modern industrial defense, securing converged IT, OT, and IoT environments, applying Self-Learning AI to detect known, unknown, and novel threats, accelerating investigations and prioritizing risk based on operational impact.

This unique approach supports the flexible deployment models required by complex critical infrastructure organizations.

Darktrace / OT provides unified visibility across OT, IT, IoT, and IoMT to help organizations understand cyber risk across connected industrial environments.

By bringing telemetry together through capabilities such as Operational Overview, OT workflows, and deep protocol inspection, Darktrace helps engineers and security teams work from shared context and a more operationally relevant understanding of the environment they are defending.

Darktrace / OT uses Self-Learning AI to detect subtle deviations from normal behavior across industrial environments where threats often appear through abnormal communications, misuse of legitimate access, or suspicious device behavior rather than known malware.

To improve incident investigation, Darktrace’s Cyber AI Analyst automatically correlates activity and produces contextual summaries to reduce manual triage effort and help teams move faster from alert to understanding.

Darktrace / OT helps organizations move beyond static vulnerability lists by prioritizing cyber risk based on operational context.

By incorporating asset criticality, network relationships, exploitability, and operational impact, Darktrace enables teams to make informed decisions about where to focus their efforts.

Darktrace / OT is built to address the realities of modern industrial defense, securing converged IT, OT, and IoT environments, applying Self-Learning AI to detect known, unknown, and novel threats, accelerating investigations and prioritizing risk based on operational impact.

This unique approach supports the flexible deployment models required by complex critical infrastructure organizations.

Darktrace / OT provides unified visibility across OT, IT, IoT, and IoMT to help organizations understand cyber risk across connected industrial environments.

By bringing telemetry together through capabilities such as Operational Overview, OT workflows, and deep protocol inspection, Darktrace helps engineers and security teams work from shared context and a more operationally relevant understanding of the environment they are defending.

Darktrace / OT uses Self-Learning AI to detect subtle deviations from normal behavior across industrial environments where threats often appear through abnormal communications, misuse of legitimate access, or suspicious device behavior rather than known malware.

To improve incident investigation, Darktrace’s Cyber AI Analyst automatically correlates activity and produces contextual summaries to reduce manual triage effort and help teams move faster from alert to understanding.

Darktrace / OT helps organizations move beyond static vulnerability lists by prioritizing cyber risk based on operational context.

By incorporating asset criticality, network relationships, exploitability, and operational impact, Darktrace enables teams to make informed decisions about where to focus their efforts.