Client outcomes · anonymised summaries
Work that speaks through measurable results
These case summaries illustrate how CyberMotion AI engagements translate into shorter dwell times, cleaner alert queues, and audit-ready documentation. Client names are withheld under confidentiality agreements.
Regional credit union reduces alert volume by 62%
A Ontario credit union with 340 employees faced analyst burnout from 4,200 daily SIEM alerts, most of them benign DNS anomalies. CyberMotion AI deployed a two-phase programme: first, a telemetry audit that identified duplicate log streams and misconfigured parsers; second, a detection rewrite that replaced 180 generic rules with 47 environment-specific detections.
Within twelve weeks, mean time to triage dropped from 38 minutes to 11 minutes. Two previously undetected credential-stuffing campaigns were caught during the tuning period. The internal SOC retained full ownership of the SIEM; we transferred all rule logic and documentation before project close.
case_ref · CU-2025-IR timeline
Hospital network contains ransomware within four hours
case_ref · HC-2025-FOR forensics
A multi-site healthcare provider engaged CyberMotion AI on retainer. When an overnight shift flagged unusual SMB traffic, our on-call responder joined their IT director within nine minutes. We isolated affected VLANs, preserved disk images on three compromised workstations, and coordinated with their MSSP to block C2 domains at the perimeter.
Patient-facing systems were unaffected. PHIPA breach assessment documentation was drafted by 14:00 the same day. Post-incident, we delivered tabletop exercises for the executive team and updated their runbook with lessons from the event. No ransom was paid.
Your programme could be next
We scope every engagement against your actual telemetry, team capacity, and regulatory context. Ask for a sample work plan during your initial briefing.
SaaS provider cuts analyst queue by 41% in pilot phase
A Toronto-based software company with a twelve-person security function struggled to staff weekend coverage. CyberMotion AI deployed an AI-assisted triage pilot that clustered related alerts and enriched tickets with asset ownership data pulled from their CMDB. Analysts reviewed model suggestions rather than raw SIEM exports.
Over eight weeks, duplicate tickets fell sharply and weekend on-call pages dropped from an average of fourteen to six per shift. The client extended the pilot into a full retainer and trained two junior analysts on detection engineering fundamentals using curricula we co-developed. Model weights and training data remain client property under contract.
Outcomes we measure
Every engagement defines success metrics upfront. Common measures include mean time to acknowledge, mean time to contain, false positive rate per rule family, log source coverage percentage, and post-incident remediation completion rate. We report against baselines captured during week one so progress is visible to technical and executive audiences alike.
We also track qualitative indicators: analyst confidence scores from brief surveys, runbook step completion times, and executive comprehension ratings after tabletop sessions. Numbers tell part of the story; sustained behaviour change tells the rest. Our quarterly business reviews combine both so you can justify continued investment with evidence stakeholders trust.
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