Cyabra launches AI agent to detect coordinated online activity

Cyabra, Inc. (Nasdaq: CYAB) announced the launch of Coordinated Activity Detection, an AI agent designed to automatically identify coordinated inauthentic behavior in online activity and deliver a single, evidence-backed verdict for each scan.

The tool automates an investigation process that previously required analysts to manually connect signals across clustering, timing, content, and narrative data. According to the company, the agent evaluates the same range of signals a human analyst would examine, including account authenticity, peak activity windows, posting time, content, and profile signals, and returns a verdict typically within 30 seconds.

The agent produces one of four outcomes: Confirmed Coordination, Likely Coordination, Insufficient Evidence, or No Coordination Detected. Each verdict includes a confidence score and a downloadable evidentiary report. The reasoning behind each determination is visible as it is generated, rather than presented as a single unexplained score.

"Customers tell us that spotting individual signals was never the hard part. Explaining what those signals add up to is," said David Low, Cyabra's Chief Marketing Officer.

Coordinated Activity Detection is available now within the Cyabra platform and runs automatically on every scan. It surfaces results within the platform's Authenticity and Narrative tabs. The company states the capability is intended for enterprise brand and communications teams, public sector and government organizations, and Cyabra's own analysts.

Cyabra said it plans to extend the AI agent approach to narrative analysis and influence mapping in future releases. The launch follows the company's inclusion as a Market Shaper in the June 2026 Gartner Emerging Market Quadrant for Narrative Intelligence — Startup Vendors.

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