// threat defence redefined
Our adaptive neural-network engine monitors, classifies and neutralises intrusions across your entire attack surface — in under 200 milliseconds. Built in Laval, deployed globally.
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// core capabilities
Each module operates independently yet shares threat intelligence through a unified neural backbone, creating a defence mesh that grows smarter with every incident it encounters.
Our convolutional models analyse network traffic patterns at wire speed, flagging deviations within three standard deviations of learned baselines. False-positive rates sit below 0.03 percent thanks to continuous retraining on your live data.
When a confirmed threat is identified, pre-configured playbooks execute containment steps automatically — isolating affected endpoints, revoking compromised credentials and notifying your security team via the channel they prefer.
Lightweight agents on every workstation and server build per-device behavioural profiles. Lateral movement attempts, privilege escalations and data-staging activities are caught even when signatures do not exist yet.
We ingest feeds from over forty commercial and open-source threat-intelligence providers, correlate indicators of compromise with internal telemetry and surface prioritised alerts ranked by business-impact severity.
Predictive models trained on historical CVE data and your asset inventory estimate which unpatched vulnerabilities are most likely to be exploited next, letting your team focus remediation effort where it matters most.
Generate audit-ready reports mapped to frameworks including SOC 2 Type II, ISO 27001, PCI-DSS and Canada's PIPEDA. Evidence collection is continuous, eliminating the last-minute scramble before auditor visits.
// deployment pathway
We designed the onboarding sequence to minimise disruption. Most organisations reach production monitoring within ten business days.
A senior security architect maps your network topology, identifies crown-jewel assets and documents existing tool integrations. This session typically runs two to three hours and produces a tailored deployment blueprint.
Lightweight collectors are installed at strategic network taps and endpoints. Over seventy-two hours the AI software ingests normal traffic patterns, building the behavioural baseline against which future anomalies are measured.
Our engineers work alongside your team to calibrate alert thresholds, connect notification channels and configure automated response playbooks so that only actionable, high-confidence events reach human analysts.
The system enters full production. Models retrain weekly on fresh telemetry, and our threat-research team pushes new detection logic as emerging attack techniques appear in the wild.
// independently verified
Our platform and operational practices are regularly audited by accredited third parties. These certifications mean your legal and procurement teams can approve deployment with confidence.
// common questions
// start the conversation
Tell us a bit about your environment and a security architect will respond within one business day with a preliminary risk profile — no obligation, no sales pitch.
