Independent recognition
A decade of recognition for operational security technology.
SIRV has received repeated industry recognition for security software, operational decision support and innovation. Awards are one signal of credibility. For consequential operational work, we believe they should sit alongside evidence from real deployments, measured outcomes and clear controls.
Communication Product of the Year winner
Recognition spanning more than a decade
Champion of Champions finalist
Selected recognition
Recognition across product, software and security innovation.
A selected record of independently published awards and finalist recognition. The emphasis is on the nature of the work recognised, not the number of trophies.
| Year | Recognition | Category or basis |
|---|---|---|
| 2026 | Finalist Champion of Champions | Recognition of achievements by previous Security & Fire Excellence Award winners over the intervening decade. |
| 2025 | Finalist AI Technology Application | Best Artificial Intelligence Technology Application by a Security or Fire Provider or Installer. SIRV with Cal. Official awards record ↗ |
| 2021 | Finalist Security Software Product / SaaS | SIRV Systems recognised for Protest Monitoring. Official awards record ↗ |
| 2019 | Finalist Security Technology Innovation | Recognition for innovation in security technology. Official awards record ↗ |
| 2018 | Finalist Security Software Manufacturer | SIRV Systems shortlisted among security software manufacturers. |
| 2016 | Winner Communication Product of the Year | SIRV by SIRV Systems won the Security & Fire Excellence Award. Official awards record ↗ |
| 2014 | Finalist Communication Product of the Year | Early industry recognition for SIRV Systems. Official awards record ↗ |
Awards history is selective. Linked entries lead to organisers’ published award records; 2026 finalist status is reported by SIRV.
What recognition means
Useful external signals. Not a substitute for evidence.
Awards can indicate that a product or approach stood out to an independent industry panel. They cannot tell a buyer whether a workflow will perform accurately, safely or efficiently in their own environment.
For that, we look to measured operational outcomes, transparent methodology, security controls and human review. That distinction is particularly important as SIRV applies AI to consequential operational work.
Evidence alongside recognition
Three places to test the claims.
Operational results
See measured outcomes from customer deployments and controlled workflow trials.
Explore case studies ↗Impact methodology
Understand how SIRV describes, qualifies and measures operational improvements.
See the methodology ↗Security & privacy
Review the controls and governance relevant to operational data and AI workflows.
Review security & privacy ↗Current work
Recognition matters most when the work stands up in practice.
If you are assessing an operational AI workflow, start with a bounded task, agreed evidence and a measurable outcome.
