Cortex
Catch threats no rule has ever seen.
Cortex is the machine-learning classifier inside every Gen0Sec sensor. It scores traffic by behaviour — how a client negotiates a TLS handshake, how it paces requests, how it differs from a known browser. When Cortex flags something malicious, the firewall acts.
What Cortex is for
- Detection without signatures. Find malware, bots, and scrapers before anyone has written a rule for them.
- On-device inference. Nothing about your traffic ever leaves the host or sensor. No cloud round-trip, no data exfil risk.
- Automatic action. When Cortex's malicious-probability exceeds your threshold, it can fire a block directly through Amygdala — no human in the loop required.
- Continuously updated models. Cerebellum re-trains, ships the new model, and Cortex hot-loads it. Detection improves while the platform runs.
How it fits
Cortex is the new-threats detector in the platform. Thalamus catches signatures we already know. Cortex catches the rest.
Use cases
- Detect bots without JavaScript challenges — works for APIs, mobile apps, and headless clients.
- Block credential-stuffing attempts even when the attacker rotates IPs.
- Identify unknown attack tools by their network fingerprint, before any signature exists.
- Score every connection so you can rank investigation queues by ML confidence.
See also
- Synapse documentation — the agent that ships Cortex
- Dendrite — the fingerprint source Cortex classifies
- Amygdala — the enforcement layer Cortex triggers