Core service

AI for Security

Security operations that don't wait for an analyst. AI that detects, enriches, and responds before the breach becomes a headline.

Overview

Intelligent threat detection and autonomous response.

Modern environments generate more telemetry than any human team can process. We apply machine learning and agentic AI directly to your security data — building detection models trained on your baseline, correlation engines that surface real signals from noise, and SOC agents that triage thousands of alerts without fatigue.

Every system we build is grounded in your threat landscape, not generic rulesets. From anomaly detection on user behaviour to automated incident response playbooks, we ship security AI that is measurable, explainable, and audit-ready — so your analysts spend time on the threats that matter.

Benefits

Why teams choose this

Detect what rules miss

Behavioural ML models surface novel threats that signature-based systems overlook.

Triage at machine speed

AI agents process and enrich alerts in seconds — not minutes or hours.

Fewer false positives

Context-aware risk scoring cuts alert fatigue and keeps analysts focused.

Audit-ready response

Every automated action is logged, explainable, and reversible.

Capabilities

What we build into every system

Anomaly detection

Behavioural baselines and statistical deviation scoring across users, hosts, and network flows.

SOC automation

AI agents that triage, enrich, correlate, and escalate alerts without analyst touch.

Threat intelligence

Automated IOC lookup, enrichment, and context injection from public and private feeds.

Incident response

Playbook-driven automated remediation — contain, isolate, and notify in seconds.

Security data lake

Unified ingestion, normalisation, and retention of logs from any source.

Compliance evidence

Continuous evidence collection for SOC 2, ISO 27001, HIPAA, and NIS2.

Architecture

AI security operations pipeline

Real-time telemetry ingestion through ML detection, automated response, and continuous feedback.

Click a node to explore connections

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TelemetryLogs + eventsIngestNormalise + parseEnrichmentContext + IOCsThreat DetectionML + rulesRisk ScoringConfidence gradedAuto ResponsePlaybooksSOC AnalystHuman reviewFeedback LoopModel improvement
Use cases

Where it creates leverage

94%alerts auto-triaged

Autonomous SOC triage

AI agents enrich and classify every alert before a human sees it — 24/7.

< 5 minmedian detection time

Insider threat detection

Behavioural models catch anomalous user activity with sub-five-minute median detection.

faster mean time to remediate

Vulnerability prioritisation

AI risk scores focus patching effort on the 3% of CVEs that are actually exploitable in your environment.

Let's build something that ships.

Bring us a problem. We'll tell you honestly whether AI is the right tool — and exactly how we'd build it.