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Cynalytica and Dragos link OT monitoring across serial, analog and IP networks

Sep. 17, 2026
By AI, Created 02:00 UTC, Sep 17, 2026, AGP -

Cynalytica and Dragos Public Sector announced a technical integration that combines serial and analog monitoring with IP-based OT threat detection. The partnership is aimed at water, electric and government critical infrastructure operators that need visibility across legacy and modern industrial systems.

Why it matters: - Critical infrastructure operators often run a mix of legacy field devices and modern IP networks. - The integration is designed to close visibility gaps across serial, analog, and IP industrial communications. - Unified monitoring can help security teams spot cross-layer attack patterns earlier and with less operational disruption.

What happened: - Cynalytica announced a partnership and technical integration with Dragos Public Sector on September 16, 2026. - The combined offering links Cynalytica's OTNetGuard, SerialGuard, and AnalytICS Engine with the Dragos Public Sector OT threat detection platform. - The integration is available now for water utilities, electric operators, and government critical infrastructure customers.

The details: - Dragos Platform provides asset visibility, vulnerability management, and threat detection across xOT environments. - Dragos uses passive network monitoring and active collection, with deep packet inspection across 600+ industrial protocols. - Dragos also uses behavioral baselining and detections mapped to known adversary TTPs through the MITRE ATT&CK for ICS framework. - Cynalytica OTNetGuard passively monitors IP-based industrial network traffic and correlates it with non-IP communications. - Cynalytica OTNetGuard also provides out-of-band monitoring of serial links such as RS-232, RS-485, and RS-422, plus analog communications including current loop and voltage-based signals. - Cynalytica OTNetGuard extracts protocol telemetry from Modbus RTU, DNP3 serial, and proprietary vendor protocols without adding latency or risk to control loops. - Cynalytica AnalytICS Engine applies behavioral analytics and anomaly detection across non-IP data streams. - Dragos ingests the correlated Cynalytica telemetry alongside its native IP monitoring and applies threat detection, vulnerability management, and playbook-driven response. - The combined system creates a single visibility layer spanning Level 0 through Level 3 of the Purdue Model. - The integration can correlate a serial RTU command injection with anomalous reconnaissance activity on the IP side of the network. - Both platforms operate out-of-band and require no changes to existing control system configurations. - The deployment model also avoids active polling of field devices and does not introduce new network paths into operational environments. - The approach is intended to preserve fail-safe operations in water and electric utility environments. - The companies say the integrated approach supports compliance reporting aligned with NERC CIP, AWWA, and other sector frameworks.

Between the lines: - The move reflects a broader OT security challenge: most security tools are strongest on IP traffic, while many real-world industrial assets still depend on serial and analog communications. - By combining data at the field-device layer and the IP layer, the two platforms are trying to reduce blind spots that separate tools can miss. - The pitch is as much about operations as security, since passive monitoring is a better fit for environments where uptime matters more than active scanning.

What's next: - Cynalytica and Dragos are positioning the integrated stack for deployment across water, electric, and public-sector environments. - The companies say analysts will work from a single, correlated dataset as deployments expand.

The bottom line: - The integration aims to give industrial defenders one view of OT activity across legacy field systems and modern networks without changing the control environment.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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