Real-Time Signal Monitoring
Track brand mentions, narratives, and emerging topics across every connector in real time. Your feed updates continuously so your team sees threats as they form, not after they trend.
Product · Intelligence layer
Signal by AI Uniti: enterprise narrative threat intelligence
Signal is AI Uniti's narrative risk intelligence layer, built to detect coordinated narrative attacks on your brand, executives, and share price, purpose-built for enterprise risk, security, and communications teams who cannot afford to be caught off guard.
What Signal does
Data Connectors
Monitor narratives across X, Bluesky, Mastodon, RSS, YouTube, Facebook, Instagram, Telegram, and a Web Risk connector that watches the attack infrastructure behind a campaign - one narrative picture across the surfaces that matter. Facebook and Instagram connect through your own Pages and assets.
Narrative Intelligence
Signal automatically clusters related content into narrative groups using behavioural embeddings, revealing coordinated campaigns, amplification patterns, and inauthentic networks that keyword search cannot see.
Coordination Network
Signal does not just score accounts, it maps who acts together. Coordination-pair detection and behavioural clustering surface the shape of a campaign, the accounts moving in concert behind a narrative, so you see the network, not just the volume.
Sentiment + Tone Scoring
Every post is scored for sentiment and tone using AI batch intelligence. Signal surfaces shifts in narrative risk before they reach the volume thresholds that trigger traditional monitoring tools.
Automated Alerts
Set risk thresholds and Signal notifies your team the moment a narrative crosses a boundary. No manual monitoring required - your team is alerted hours before the story breaks mainstream.
Automated Reporting
Branded PDF reports generate and deliver automatically - alert-triggered briefs the moment a threshold is crossed, and recurring evidence-led readouts for risk, board, and comms teams. Automated does not mean black-box: every report carries the full behavioural evidence chain, not a summary score.
Threat Visualisations
Interactive charts, timelines, and coordination graphs show sentiment trends, posting-frequency spikes, and network activity, giving your team a clear picture of how a narrative is building before it reaches critical mass.
Signal now detects the media, not just the network
As coordinated campaigns increasingly weaponise synthetic media, Signal now detects it, across voice, video, and images, inside the campaigns it already monitors. When a manipulated clip, an AI-generated voice, or a synthetic image surfaces in a narrative targeting your brand, Signal flags it as part of the coordinated activity around it, not as a standalone deepfake check. You see not just that a piece of media is likely synthetic, but where it sits in the network amplifying it.
Signal is the intelligence layer between detection and defence. It correlates behaviour across X, Bluesky, Mastodon, RSS, YouTube, Facebook, Instagram, Telegram and attack-infrastructure signals to surface coordinated narrative manipulation 6 to 12 hours before conventional monitoring. It does not just measure the volume of a narrative; it maps who is acting together to drive it, with deterministic, explainable evidence rather than a black-box score.
New to synthetic media? Start with what is a deepfake and how deepfake detection works to understand how Signal scores the authenticity of the media inside a coordinated campaign.
For the thesis behind the method, read why content-based disinformation detection is collapsing, and for the regional picture, narrative threat intelligence in APAC. Signal is the intelligence layer of a three-layer platform - see detection, intelligence, defence: the unified narrative-threat stack.
- X
- Bluesky
- Mastodon
- RSS
- YouTube
- Telegram
- Web Risk
Frequently Asked Questions
How does Signal detect a coordinated account network?
Signal maps who acts together, not just what is said. It detects coordination pairs (accounts that reply to, quote, repost, and mention each other in concert), clusters them by behaviour, and surfaces the shape of a campaign rather than its raw volume. Every finding is deterministic and traces back to the behavioural signals behind it.
Can Signal map a bot network?
Yes. Signal builds the relationship graph behind a narrative and identifies the coordinated clusters within it, so you see the seed accounts, the amplification layers, and how they connect. It scores behaviour rather than content, so the map holds up as evidence for a board, a regulator, or a security team.
Does Signal detect deepfakes?
As coordinated campaigns increasingly weaponise synthetic media, Signal now detects it, across voice, video, and images, inside the campaigns it already monitors. The difference is context: Signal flags manipulated or AI-generated media as part of the coordinated activity around your brand, not as a standalone deepfake check.
Can you detect AI-generated media in a disinformation campaign?
Yes. Signal analyses the images, video, and voice captured in the narratives it monitors and flags synthetic or manipulated media as a signal within the wider coordination picture. You see not just that a piece of media is likely AI-generated, but where it sits in the network amplifying it.
How accurate is synthetic-media detection?
No detection system is infallible, and we do not claim otherwise. Synthetic-media detection is one signal among the behavioural and coordination signals Signal weighs, and every verdict comes with the evidence behind it rather than a single opaque score. Ask about current performance in a demo.