Behaviour learning
Understands normal login patterns.
- Learns normal logins
- No complex rules to write
- Gets better over time
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Spot suspicious server logins before they become a breach.
Security monitoring that learns normal SSH activity and flags the abnormal, built for small and mid-sized companies.
Login alerts
3
New alerts
1
Blocked today
0
Unreviewed high
| Time | Address | Score | Action |
|---|---|---|---|
| 03:12 | 203.0.113.5 | 94 | Block |
| 02:48 | 198.51.100.8 | 61 | Review |
| 01:20 | 192.0.2.44 | 22 | Ignore |
The story
Attacks on servers often start with repeated login attempts. SSH Guardian studies normal behaviour with machine learning and alerts you when something looks wrong.
It began as a cyber-security research project and was designed for companies without a big security team.
Features
Scroll to step through each feature, or open one for the full detail.
Sample screens
These screens are drawn with demo data, so no real customers or people appear.
Login alerts
3
New alerts
1
Blocked today
0
Unreviewed high
| Time | Address | Score | Action |
|---|---|---|---|
| 03:12 | 203.0.113.5 | 94 | Block |
| 02:48 | 198.51.100.8 |
How it works
Agents report logins.
The model learns normal.
Anomalies are scored.
You block or accept.
Interested?
Leave your details and a short note. We will reply within one working day with next steps.
Prefer to chat? Use the WhatsApp button at the bottom of the page.
| 61 |
| Review |
| 01:20 | 192.0.2.44 | 22 | Ignore |
Scored alerts with a suggested action.