The technology housebehind 9500 Group
What we offer
A 6th generation AI-FIMI defense platform.
The INTERCEPTOR is a SaaS platform that detects, analyses and assesses coordinated influence activity across multiple social-media platforms — integrating proprietary detection technology with structured intelligence modelling and operational response.
- Multi-platform data acquisition
- Coordinated-behaviour detection
- Structural behaviour analysis
- Network structure analysis
- Tailor-made executive dashboards
Built to intelligence-grade standards.
AI at the core
Models for narrative clustering, sentiment and toxicity analysis, anomaly detection and multilingual coordinated-behaviour identification.
SaaS tech
A cloud-scalable architecture that ingests and correlates high-volume, multi-platform data without losing analytical depth.
Structured intelligence
Detection output is modelled into structured intelligence — not raw alerts — so analysts and executives act on meaning, not noise.
Why now
Influence attacks move faster than manual review.
Across platforms
Coordinated influence activity spreads across multiple social-media platforms at once.
Across languages
Campaigns run in several languages, beyond the reach of a single analyst team.
At volume
High-volume conversation hides coordinated activity inside authentic discussion.
Four dimensions. One picture.
The AI-based advanced analysis combines four dimensions: content, behavior, network structure analysis, and users attributes, into one holistic assessment.
Discourse
— Narrative intelligence
Narrative link analysis across platforms is being done by content.
What it surfaces
- Narrative timeline
Narrative A holds 40% of the conversation, and 100% of its posts are original, with no quotes or replies.
Behaviour
— Coordination detection
Engagement is traced across users and by platform, exposing coordinated activity.
What it surfaces
42 accounts engage with the same 9 posts within minutes of each other.
Users attributes
— Similarity analysis
Every participating user is profiled. Bot-like users are flagged and quantified, user attributes similarity is identified.
What it surfaces
150 of 800 accounts (19%) show bot-like characteristics.
Network structure
— Link analysis
Following-followers connections are mapped into a network. Communities, influencers and bot-like users become visible.
What it surfaces
10,000 nodes and 35,000 edges forming two separate communities.
From detection to response
Actionable intelligence, signal-to-noise ratio
01
Detect
The INTERCEPTOR detects coordinated influence activity across multiple social-media platforms.
02
Assess
Signals from the four dimensions are combined into a single assessment.
03
Respond
The analysis is translated into an actionable report so the decision makers can take action to preempt the attack.
Beyond detection, Social Tech offers additional capabilities for countering hostile influence attacks.
Case study · Leipzig drone attack · August 2026
From conversation analysis to hostile campaign identification
In August 2026, a reported drone incident at Leipzig/Halle Airport set off a fast-moving public conversation on social media. The INTERCEPTOR clustered the conversation into narratives and mapped the accounts behind them.
The conversation was split into two distinct blocs, one German and one Russian. Inside the Russian bloc, the INTERCEPTOR identified a coordinated group of accounts.
German bloc
Russian bloc
Coordinated group — inside the Russian bloc
Who we serve
Built for analysts and executives.
- Government
- High networth individuals
- Enterprise