LatticeFlow AI, a leading Swiss deep-tech company specializing in evidence-based AI governance, has announced the acquisition of Dublin-based AI Sonar Ltd at the World Economic Forum (WEF). AI Sonar operates as a wholly owned subsidiary of CloudSphere Ltd and is widely recognized for its advanced AI discovery platform that helps enterprises and independent software vendors detect so-called “phantom AI.” Following the acquisition, AI Sonar’s solution will continue to be offered under its existing brand, now as part of the LatticeFlow AI portfolio.
With this strategic move, LatticeFlow AI is set to introduce the industry’s first end-to-end, evidence-based AI governance solution. Notably, the combined offering securely connects on-premises AI discovery and assessment with centralized SaaS-based governance operations. In addition, it supports a broad spectrum of AI systems, including traditional AI models, generative AI, and emerging agentic AI technologies.
AI Authority Trend: LatticeFlow AI Partners with Vanta to Strengthen AI Compliance and Trust
As part of the transaction, LatticeFlow AI assumes full ownership of AI Sonar’s platform, intellectual property, and engineering operations. Consequently, Dublin becomes LatticeFlow AI’s third research and development hub, complementing its existing offices in Zurich, Switzerland, and Sofia, Bulgaria. The AI Sonar engineering team will continue to enhance the enterprise-grade AI discovery platform, which will be fully integrated into LatticeFlow AI’s long-term product roadmap. Furthermore, Paul Mansfield, former CTO of CloudSphere, will join LatticeFlow AI and lead the unified engineering organization.
Making AI Discovery Central to Enterprise AI Governance
Through this acquisition, LatticeFlow AI positions AI discovery as a core capability for scalable enterprise AI governance. As organizations move from managing a small number of AI deployments to overseeing hundreds of thousands of AI assets, visibility becomes critical. AI Sonar enables automated identification of AI systems, maintains a continuously updated enterprise AI catalog, and links each discovered asset to evidence generated through LatticeFlow AI’s technical assessments.
“AI governance cannot function without visibility,” says Petar Tsankov, CEO and co-founder of LatticeFlow AI. “This acquisition strengthens our leadership in evidence-based AI governance by clearly demonstrating that AI governance is a technical discipline, just like cybersecurity, and must be integrated directly into the technology stack, not managed using paper checklists or dashboards. With AI Sonar, we can scan on-premises and cloud environments to discover AI systems and govern them end-to-end, securely, privately, and at scale.”
AI Authority Trend: LatticeFlow Launches AI Insights for Independent LLM Risk Evaluation
Why AI Discovery Matters Now
Today, AI adoption is accelerating faster than governance frameworks can keep up. As enterprises increasingly embed AI into applications often through third-party software and employee-driven usage they face growing complexity and reduced transparency. In many cases, organizations lack a complete and continuously updated understanding of where AI systems are deployed and how they operate.
As a result, this visibility gap introduces substantial risk. Without clear oversight, companies struggle to enforce consistent controls, maintain accountability, and safeguard sensitive data. Moreover, security, compliance, and legal teams often respond to issues only after AI systems are already in production.
AI discovery directly addresses these challenges. By continuously identifying AI systems across both on-premises and cloud environments, organizations gain an accurate, real-time inventory of their AI assets. This foundation enables proactive governance, supports consistent risk and compliance controls, and allows evidence-based assessments throughout the AI lifecycle.
Advancing AI Governance the Right Way
Looking ahead, LatticeFlow AI plans to extend its governance stack across the full AI lifecycle from discovery and cataloging to technical risk assessments, evidence generation, and continuous monitoring. As a result, enterprises can benefit from private and secure AI governance, real-time visibility across their AI portfolios, and seamless end-to-end governance workflows that align discovery with frameworks and technical controls.
Ultimately, as AI adoption continues to scale in both size and complexity, LatticeFlow AI aims to evolve its platform in line with enterprise security and regulatory demands, helping organizations govern AI with confidence and precision.
AI Authority Trend: Jumio Partners with LatticeFlow AI to Strengthen AI-powered Identity Verification for Compliance and Fraud Prevention
To share your insights, please write to us at info@intentamplify.com
