About · CyberMotion AI Inc.
Defensive AI practitioners rooted in Toronto
CyberMotion AI was founded to give Canadian organisations a security partner that understands local regulation, speaks plainly to boards, and treats detection engineering as a craft rather than a checkbox.
Our story
Built by responders, for responders
The founding team met while supporting incident response for public-sector clients across Ontario and Quebec. We kept seeing the same pattern: capable IT staff overwhelmed by alert volume, detection rules copied from vendor templates without tuning, and post-incident reports that never translated into programme improvements.
We started CyberMotion AI in Toronto to address that gap directly. Our name reflects what we do: keep motion in your defences so they adapt as fast as the threats you face. We invest heavily in analyst development, detection research, and transparent client communication. Every engagement includes knowledge transfer milestones with acceptance criteria your team signs off on.
We are incorporated in Canada, with our principal office at 95 King Street East, Suite 205, Toronto, ON M5C 1G4. Our business number is registered as BN 815204736 RC0001. We carry professional liability insurance appropriate to our services and maintain written data-processing agreements with every client.
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How we work
Principles that guide every engagement
- Evidence over intuition. Detection rules require test cases and measured false-positive rates before production deployment.
- Your data stays yours. We process client telemetry under strict confidentiality. Models trained on your incidents are your intellectual property.
- Plain-language reporting. Board summaries avoid jargon. Technical appendices contain the depth your engineers need.
- Canadian regulatory fluency. PIPEDA, PHIPA, OSFI guidance, and provincial privacy statutes inform our architecture choices.
- No fear-based selling. We scope honestly. If your current tooling is adequate, we will say so and focus on the gaps that matter.
Join us or work with us
We hire detection engineers, incident responders, and data scientists who care about craft and client outcomes. Remote-first within Canada with regular Toronto office days. If you are exploring a partnership instead of a career move, our contact page is the right starting point.
Get in touchCommunity and research
Contributing to the Canadian security community
Our engineers contribute detection rules to open-source projects where licensing permits. We speak at local ISACA and OWASP chapters on defensive AI ethics, log retention under PIPEDA, and practical incident documentation. Internally, we run a monthly reading group on published incident reports and academic papers, translating findings into detection hypotheses we test in our lab.
We believe a stronger national defensive posture lifts all organisations. That is why knowledge transfer is contractual, not charitable. When your team can maintain and extend what we build together, the Canadian digital economy becomes harder to disrupt at scale.
Certifications and standards alignment
Team members hold industry certifications including CISSP, GCIH, and cloud provider security credentials. Our methodologies align with NIST Cybersecurity Framework functions and CIS Controls prioritisation. For regulated clients, we map deliverables to OSFI B-13 expectations or equivalent sector guidance during onboarding. We do not claim certification on behalf of your organisation; we help you demonstrate control operation with evidence.
We maintain a vendor-agnostic technology stack in our lab, mirroring common client environments for rule testing. That investment means detection content we ship has been exercised against realistic attack paths, not only vendor documentation examples. Your team receives test logs alongside every rule so validation continues after handover.
Diversity and inclusion are operational priorities, not branding exercises. Mixed teams catch blind spots in detection logic and communicate more clearly with varied client stakeholders. We publish annual internal metrics on hiring and retention to hold ourselves accountable, even when those numbers are not marketed externally.