TrapShield is an adaptive honeypot-based cyber defence system that lures attackers, captures their activities, and uses AI/ML to detect, classify, and respond to threats in real time.
The same pipeline runs on every honeypot hit, end to end, with no manual triage required.
A fake SSH/Telnet shell, an admin login page, or an FTP server. Each one looks real, but nothing behind it is.
Commands, credentials, payloads and timing are logged and sent to the ingest API, keyed to that session.
A RandomForest classifier tags the attack type and an IsolationForest flags anything unusual, blended into one risk score.
High-risk sessions raise an alert and can auto-block the source IP. Analyst corrections from the dashboard retrain the models.
Session-level feature extraction, a RandomForest attack classifier, an IsolationForest anomaly detector, and MITRE ATT&CK mapping on every classified session.
Analysts confirm or correct predictions from the dashboard. Once enough verified samples build up, one click retrains both models.
Per-feature explanations for every classification, plus drift detection that flags when live traffic stops matching the training data.
Offline GeoIP enrichment, optional reputation lookups, and an active-response engine that can auto-block high-risk IPs.
Turn it on and attackers who probe your protected sites get a convincing fake site, while real visitors keep using the real one. Every move they make is recorded and can be replayed, and canary tokens catch anyone who touches what they shouldn't.
Admin, analyst and viewer roles, optional SSO and email 2FA, separate organizations per customer, and an audit log of every security-relevant action.
The SSH/Telnet, web-login and FTP decoys, Site Shield, and canary tokens that pull attackers in.
Feature extraction, the attack classifier and anomaly detector, explanations, drift checks and retraining.
The live dashboard, organizations and roles, alerting, reporting and the public API.
Create your organization in a minute and watch attacker sessions get scored in real time. Questions? Email us and we'll get back to you.