Monitor influence operations and attribute the network behind them
In short. Signal by AI Uniti detects coordinated inauthentic behaviour and attributes the accounts and influencers driving an influence operation. It brings narrative threat intelligence into the security function, treating coordinated manipulation as a monitored threat alongside cyber.
Coordinated influence operations are a security problem, not just a communications one. Security teams can see the chatter, but struggle to answer the questions that matter: is this coordinated, who is behind it, and how is it spreading. Content-based tools describe what is being said, but they do not attribute behaviour.
Signal identifies coordinated inauthentic behaviour by scoring timing, account history and cross-platform synchronisation, then maps the network so you can see the ringleaders and the amplifiers. Its shared profile layer, built on more than 793,000 analysed coordinated campaign videos, means an account analysed by any customer enriches detection for everyone, so the system gets sharper the more it is used.
For CISOs and intelligence teams, Signal slots narrative threat intelligence into existing workflows, with deterministic, explainable verdicts and evidence suitable for investigation, reporting and escalation. It treats influence as the operational threat it has become.
Frequently Asked Questions
What is coordinated inauthentic behaviour?
Activity by accounts working together to mislead, disguised to look like independent, organic engagement.
Can Signal attribute a campaign?
It maps and attributes the coordinated network with explainable evidence, identifying behavioural coordination rather than legal identity.