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LatticeFlow AI Acquires AI Sonar for End-to-End AI Governance


LatticeFlow AI Acquires AI Sonar for End-to-End AI Governance
  • by: Source Logo
  • |
  • January 21, 2026

LatticeFlow AI, a Swiss deep-tech leader in evidence-based AI governance, has acquired Dublin-based AI Sonar Ltd, a wholly owned subsidiary of CloudSphere Ltd. The acquisition integrates AI Sonar’s advanced AI discovery platform into LatticeFlow AI’s portfolio, creating the industry’s first end-to-end, secure AI governance solution that connects on-prem AI discovery and evaluation with centralized SaaS governance operations. AI Sonar will continue to operate under its existing brand name.

Quick Intel

  • LatticeFlow AI acquires AI Sonar to combine AI discovery with evidence-based governance for GenAI, agentic, and traditional AI systems.
  • The combined platform enables secure, private scanning of on-prem and cloud environments to automatically detect shadow AI and maintain a continuously updated enterprise AI catalogue.
  • LatticeFlow AI establishes Dublin as its third R&D office (alongside Zurich and Sofia), with AI Sonar’s engineering team and former CloudSphere CTO Paul Mansfield joining to lead the combined engineering group.
  • The solution addresses critical visibility gaps as enterprises shift from limited AI deployments to managing hundreds of thousands of systems.
  • Governance remains fully private and secure, linking live discovery to technical risk assessments, evidence generation, and continuous monitoring.
  • The acquisition reinforces AI governance as a technical discipline embedded in the technology stack, not managed through manual checklists or dashboards.

Closing the Visibility Gap in AI Governance

As AI adoption accelerates across enterprise applications—often through software vendors, shadow usage, or rapid internal experimentation—organizations face growing complexity without a complete, real-time view of their AI estate. This lack of visibility increases material risks in accountability, compliance, data protection, and consistent control enforcement.

AI Sonar’s discovery capabilities automatically identify AI assets across on-prem and cloud environments, creating and maintaining an always-updated inventory. When integrated with LatticeFlow AI’s evidence-based evaluation engine, each discovered asset links directly to technical assessments, risk insights, and governance controls, enabling proactive lifecycle management.

“AI governance cannot work without visibility,” said Dr. Petar Tsankov, CEO and Co-Founder of LatticeFlow AI. “This acquisition reinforces our leadership in evidence-based AI governance by making clear that AI governance is a technical discipline, much like cybersecurity, and must be embedded directly into the technology stack, not managed through paper checklists or dashboards. With AI Sonar, we can scan both on-prem and cloud environments to discover AI systems and govern them end-to-end, securely, privately, and at scale.”

Building a Comprehensive, Secure Governance Stack

The combined platform extends governance across the full AI lifecycle—from automated discovery and cataloguing to deep technical risk assessments, evidence generation, and continuous monitoring. Key advancements include:

  • Fully private, secure operations connecting on-prem discovery and evaluations with centralized SaaS governance.
  • Live, automated portfolio discovery across diverse environments.
  • End-to-end workflows that unify discovery, governance frameworks, and technical controls.

LatticeFlow AI will continue expanding these capabilities in alignment with enterprise security standards and evolving regulatory requirements, including frameworks such as the EU AI Act.

About LatticeFlow AI

LatticeFlow AI sets a new standard in AI governance through deep technical assessments that enable evidence-based decisions and empower enterprises to accelerate AI adoption with confidence. As the creator of COMPL-AI, the world’s first EU AI Act framework for Generative AI developed with ETH Zurich and INSAIT, the company combines Swiss precision with scientific rigor to operationalize AI governance built on evidence and trust.

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