Service
Threat Detection
Spot danger before it becomes disaster.
We continuously watch your networks, systems and cloud for suspicious behavior, using AI and expert analysts to separate real attacks from noise so you can respond in minutes instead of hours.
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What it covers
- Behavioral analytics to surface unusual logins, data movement and privilege changes
- Alert triage that filters false positives and prioritises what matters
- Detection use-cases mapped to common attack techniques
- Clear escalation paths and runbooks for confirmed incidents
How it works
- 1
Baseline
We learn what normal looks like across identities, workloads and network traffic.
- 2
Instrument
Logs and telemetry from cloud, endpoints and applications are routed into one view.
- 3
Detect
Rules and machine-learning models flag deviations and known attack patterns.
- 4
Respond
Analysts validate alerts and guide containment, with lessons fed back into detection.
Frequently asked questions
AI and machine learning highlight unusual patterns across large volumes of events that humans would miss, then rank them so analysts focus on the most dangerous activity first.
Detection is tuned to your environment and reviewed by analysts, so the goal is fewer, higher-quality alerts rather than more noise.
Yes. Coverage spans cloud, endpoints and network traffic, scoped to the systems you want protected.
You receive a prioritised alert with context and recommended containment steps, and we help you respond.