Building governance infrastructure
for the enterprise AI era
SoSure exists because AI is becoming part of the enterprise operating environment faster than organisations can establish reliable visibility, ownership and governance around it.
Our direction is an independent governance layer that helps enterprises understand what AI exists, who owns it, what it can access and which governance requirements apply — creating the foundation for increasingly operational control.
Enterprise perspective and technical architecture working as one
SoSure is shaped by the long-standing collaboration between Daniel Conn Elfort and Thomas Knapp — combining enterprise strategy, operating perspective and institutional dialogue with governance-focused engineering and platform architecture.
Daniel leads SoSure's enterprise positioning, commercial direction, strategic adoption model and dialogue with customers, partners and investors.
His background spans enterprise technology, telecommunications, infrastructure and international operating environments where architecture, accountability and execution directly affect business resilience.
His role is to connect the platform's technical and governance capabilities with the decisions enterprise leadership teams actually need to make.
Thomas leads SoSure's technical architecture, platform development, governance mechanics and engineering execution.
His work is centered on structured platform architecture, governance systems, orchestration, executive visibility and enterprise deployment realism.
His role is to translate governance requirements into dependable platform mechanics that can operate across complex enterprise environments.
Built on trust and shared execution history since 2010
SoSure is not the result of a short-term AI trend or a team assembled around a new category.
Daniel and Thomas have worked together since 2010 across enterprise technology, platform initiatives and complex operating environments.
That history has created a tested working relationship between enterprise direction and technical execution — with shared expectations around trust, responsibility, sequencing and delivery.
SoSure builds on that foundation: Daniel leads enterprise positioning, strategic adoption and commercial development; Thomas leads platform architecture, governance mechanics and technical execution.
AI governance must move closer to the operational environment
Policy documents and periodic compliance reviews are necessary, but they cannot provide a complete view of a rapidly changing enterprise AI environment.
Governance increasingly requires evidence of what AI exists, who owns it, what it can access and where accountability sits.
SEE
Identify AI activity, models, providers, ownership, dependencies and exposure across the enterprise.
GOVERN
Connect policies, governance evidence, accountability and risk to the AI systems actually in use.
CONTROL
Extend governed visibility toward continuous monitoring, operational oversight and increasingly automated control.
Visibility, governance evidence and executive oversight
SoSure currently focuses on AI discovery, model and provider visibility, ownership, governance evidence and role-specific executive reporting.
The Executive AI Governance Assessment provides the practical entry point for establishing this baseline within a defined enterprise scope.
The sovereign control plane for enterprise AI
From this governance foundation, the platform direction extends toward continuous monitoring, broader orchestration and increasingly operational control.
The objective is a durable governance capability that remains useful as models, providers, regulations and enterprise AI architectures continue to change.
European perspective. International enterprise orientation.
SoSure operates from Copenhagen with engineering leadership in Graz and enterprise dialogue across Europe and the United States.
The company focuses on complex enterprise environments where AI governance, operational resilience, sovereignty and accountability are becoming strategic requirements.
Enterprise AI needs an independent governance layer
SoSure is building that layer from visibility first — connecting enterprise AI reality with governance, accountability and the operational control required as adoption scales.