AI Threat Detection
We build anomaly detection systems that flag unusual network activity, access patterns, or system behavior in real time — designed to augment your security team's judgment, not replace it, with clear evidence behind every alert.
<2 min
Avg. Detection Latency
-30%
False Positive Reduction
6-10 wks
Typical Engagement
Standard
SOC Integration
What's Included
Anomaly detection model tuned to your environment
Real-time alerting integrated with your SOC tooling
Evidence and context attached to every alert
How We Work
01
Baseline Modeling
We build a model of normal activity patterns from your historical logs and traffic.
02
Anomaly Detection Build
We train detection models to flag statistically significant deviations from that baseline.
03
Alert Tuning
We tune sensitivity against real incidents to reduce noise without missing real threats.
04
SOC Integration
Alerts are routed into your existing security operations tooling with supporting evidence.
What You'll Receive
- Anomaly detection model tuned to your environment
- Real-time alerting integrated with your SOC tooling
- Evidence and context attached to every alert
- Tuning report on false positive/negative rates
- Runbook for triaging flagged incidents
How Engagements Typically Work
Every project starts with scoping — here's the shape most engagements for this service take.
Baseline & Pilot
A 3-4 week engagement building a baseline model and piloting detection against recent historical incidents.
Production Build
Full detection system with SOC integration — typically 6-10 weeks.
Ongoing Tuning Retainer
Monthly retainer to retune detection as your environment and threat landscape change.
Technologies We Use
The tools and platforms our AI Threat Detection team works in day to day.
Detection
Infra
Frequently Asked Questions
No — it's built to augment your SOC by surfacing anomalies faster and with supporting evidence, with your team making the final call.
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