division · detection

DeepSecu

The detection division. DeepSecu builds AI-assisted intrusion detection on top of the ELK Stack and Suricata — turning live network traffic into ranked, explainable alerts an analyst can act on.

ELK Stack Suricata Machine Learning Network IDS Threat hunting

~/jsycure/deepsecu/pipeline

The detection pipeline

// sensor

Suricata IDS

Inspects traffic on the wire, matches against signatures, and emits structured events for every flow, alert, and protocol anomaly.

// store + search

ELK Stack

Elasticsearch indexes the event stream; Logstash normalizes it; Kibana gives analysts a live, queryable view of what's happening on the network.

// intelligence

ML alert scoring

Models rank events by risk so high-signal detections rise to the top instead of drowning in volume — with features a human can interpret.

// handoff

Response handoff

Scored detections pass to the SOAR division, where TheHive and Shuffle take over containment and case management.

// research focus

What the team is working on

Reducing false positives in IDS alerts, making model decisions explainable to analysts, and tightening the loop between detection and automated response.

~/jsycure/deepsecu/members

The team

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Member cards below are samples. Replace names, roles, and links with the real DeepSecu roster — search data-edit="members" in deepsecu.html.