Awards & Recognition ·

SPQR Technologies wins Best AI for Safety.

Australian-developed Aegis Runtime Control recognised at the VIC AI Awards 2026 for its approach to independent execution authority for AI agents.

Engraved glass trophy reading VIC AI Awards 2026, Best AI for Safety, Aegis Runtime Control by SPQR Technologies
The Best AI for Safety trophy presented for Aegis Runtime Control.

SPQR Technologies has won Best AI for Safety at the 2026 VIC AI Awards for Aegis Runtime Control: Independent Execution Authority for AI Agents.

The recognition was presented in Melbourne on 13 November 2026. It marks a milestone for SPQR's Australian-developed technology, designed to help organisations retain authority over consequential actions proposed by AI systems.

AI can act. But who gives it permission?

AI agents can retrieve information, invoke tools and participate in operational workflows. Their ability to perform an action does not, by itself, establish that the organisation has authorised that specific action.

That distinction is central to SPQR's approach to Operational AI Governance: From Policy to Permission.

Independent authority at the execution boundary

Aegis Kernel independently evaluates selected proposed actions against active, signed governance authority. Configured enforcement points apply allow, deny or escalate decisions before the protected action can take effect.

The wider SPQR architecture connects reviewed organisational policy and supporting evidence through Praxis, runtime authorisation through Aegis, and tamper-evident decision evidence through the Immutable Ledger Kernel (ILK). Civitas provides sovereign AI reasoning and orchestration without granting itself execution authority.

These controls operate on configured, mediated execution paths. Alternative access routes, direct credentials and other possible bypasses require their own assessment and controls.

Australian research, engineered for practical use

The award follows approximately two years of research and engineering in Australia, including the development of SPQR's independent runtime-authorisation architecture and its commercial implementation, Aegis Seatbelt for Snowflake.

SPQR's research programme includes controlled sandbox evaluations of execution-boundary behaviour and its limitations. The company makes those research materials available for technical scrutiny rather than presenting controlled findings as proven live-customer outcomes.

SPQR thanks the VIC AI Awards and VIC AI Boom teams for the recognition and congratulates the other winners and finalists contributing to Australia's AI innovation community.

A note on the award: “Best AI for Safety” is the name of the industry award received. It is not an independent safety certification, a guarantee of compliance or proof that every AI execution route is governed.

Prompts are not permission.

The model proposes. Aegis decides.

From policy to permission

Explore the technology behind the recognition.

Understand Aegis's scope, the authorisation boundary and the evidence needed to test one governed workflow.