Find abuse networks in your data

Stop flagging bad actors one at a time.

Detect fraud, scams, coordinated abuse, and repeat offenders at scale by connecting the dots across your entire platform.

Ingest petabytes of data

Connect to any data source and ingest billions of events in real-time. SafetyKit automatically processes, normalizes, and indexes your data for instant pattern detection.

Visualize patterns

Explore interactive network graphs that reveal hidden connections. Identify coordinated abuse, fraud rings, and repeat offenders across your entire platform.

Learn about clustering →
SEARCH
CLUSTERS
Spam Network #4328
Legitimate Users
Fraud Ring #2831
Normal Activity
Bot Network #5129
User Cluster A
Phishing Network
Spam Network #4328
5 profiles • @getrichnow • Similar images

Write rules

Define your risk policies with simple, readable rules. Flag bad actors, send for human review, or take automated action based on your exact requirements.

Spam Profile

ID: 390239824
Username
samantha_harding
Bio
💰 Investor Samantha 💋 Find me on telegram at @getrichnow for crypto secrets.
Features Detected
telegram@getrichnowcrypto
Rule Matched: Telegram Spam
Profile flagged for manual review

Take action

Execute coordinated takedowns across entire abuse networks. Remove bad actors at scale, not one at a time, and prevent them from returning to your platform.

See how SafetyKit prevents fraud →

Integrations on demand

Flexible deployment to fit your existing infrastructure.

Real-time

Detect and action abuse networks as events happen. Integrate with webhooks, streaming APIs, and event buses.

Batch

Run scheduled analyses on your existing data. Perfect for periodic audits and historical pattern detection.

Data Lake

Connect directly to BigQuery, Snowflake, Postgres, and more to uncover sophisticated fraud rings.

Stylised collage of people, shoes and city scenes reinforcing the message of platform safety and user trust
GET A DEMO
Collage of portraits and abstract shapes beneath the 'Protect your platform' call‑to‑action for trust and compliance