SSH honeypot decoys surface attacker behaviour as it happens and alert your operators, giving your team early warning and the evidence to respond on production systems.
How a honeypot-driven approach compares with traditional, manual incident response
| Response Phase | Traditional SOC | PHANTAQSM | Improvement |
|---|---|---|---|
| Attacker Detection | Hours to days | Surfaced as it happens | Earlier visibility |
| Alert Triage | Manual review | Automated alerting | Less manual effort |
| Operator Notification | Delayed escalation | Prompt notification | Faster awareness |
| Attacker Engagement | Limited insight | Continuous behaviour capture | Richer evidence |
*Illustrative comparison for an early-stage product. Outcomes depend on your environment; no completed performance testing is implied.
Decoy services and behaviour modelling surface attacker activity and alert your team
Decoy SSH services surface attacker activity, with Bayesian and Markov behaviour modelling distinguishing real intrusions from noise
Decoys keep attackers occupied while operators are notified, giving your team time to respond on production systems
Decoy behaviour adapts to attacker actions to sustain engagement and capture more of the intrusion
Decoy services can be placed across network segments to widen the surface where attacker activity is observed
How attacker activity moves from a decoy interaction to an operator alert with captured evidence
Decoy interaction
Behaviour modelling
Session recording
Operator notified
Tamper-evident log
PHANTAQSM is designed to forward honeypot alerts and evidence into your existing security tooling. The integrations below are on our roadmap as the product matures.
The design goals we build toward as we validate the platform in pilots
See how PHANTAQSM surfaces attacker behaviour early and gives your team the evidence to respond. We are early-stage and pilot-ready.