Stop reading the same story
15 times.

ThreatCluster's semantic clustering automatically groups related articles into single threat clusters. One incident, one cluster.

The Challenge

The Problem

15x
Duplicate Coverage

A single vulnerability or breach gets covered 15+ times across different sources. Analysts waste hours reading variations of the same story.

46%
Information Overload

Nearly half of security teams cite information overload as their primary challenge. Too many sources, too little time.

500+
Daily Articles

ThreatCluster ingests 500+ cybersecurity articles daily. Without clustering, your feed would be unmanageable noise.

Visual Comparison

Before & After

Without Clustering
Critical VMware vCenter Vulnerability Exploited
BleepingComputer
VMware Patches Critical vCenter Flaw
The Hacker News
CVE-2024-38812: VMware vCenter RCE
SecurityWeek
VMware Issues Emergency Patch for vCenter
Dark Reading
Active Exploitation of VMware vCenter Bug
SC World
5 articles, same story, 5x the reading time
With ThreatCluster
CLUSTER 5 sources
Critical VMware vCenter RCE Vulnerability Under Active Exploitation

VMware has patched CVE-2024-38812, a critical heap-overflow vulnerability in vCenter Server allowing remote code execution. Active exploitation observed in the wild.

CVE-2024-38812 VMware vCenter
1 cluster, full context, 80% less noise

How It Works

How Clustering Works

01 Ingest
Collect Articles

500+ articles ingested daily from 5,000+ curated cybersecurity sources.

02 Embed
Semantic Analysis

Each article is converted to a semantic embedding capturing its meaning, not just keywords.

03 Cluster
Group Similar

Articles about the same threat are automatically grouped based on semantic similarity.

04 Enrich
Summarize & Extract

AI generates a unified summary and extracts entities across all articles in the cluster.

Benefits

Why Clustering Matters

Save Hours Daily
Stop reading 15 versions of the same story. Get the full picture from one cluster with all sources aggregated.
Complete Context
Each cluster combines perspectives from multiple sources. No single source has the full story alone.
Track Evolution
Clusters grow as new articles are published. Watch threats evolve over time with a complete timeline.
Better Prioritization
Clusters are scored by coverage breadth, source credibility, and urgency. Focus on what matters most.

Technology

Semantic vs. Keyword Matching

Keyword Matching

  • Only matches exact words or phrases
  • Misses synonyms: "breach" vs "hack" vs "intrusion"
  • Can't understand context or meaning
  • False positives from shared keywords

Semantic Clustering

  • Understands meaning, not just words
  • Groups articles about the same incident regardless of wording
  • Handles different perspectives on the same event
  • Continuously improves with new data

Experience Clustered Intelligence

See how semantic clustering transforms information overload into actionable threat intelligence. Free tier available.