Swiss deep-tech leader LatticeFlow AI has officially unveiled a first-of-its-kind comprehensive platform designed to systematically manage and neutralize AI risks within increasingly autonomous environments.
As modern enterprises rapidly implement advanced, self-evolving AI architectures across core business operations, legacy compliance methods such as static documentation and intermittent, point-in-time assessments are failing to identify real-time vulnerabilities. The freshly launched platform bridges this critical vulnerability by linking high-level organizational frameworks directly to automated technical controls.The continuous integration provides constant and verifiable proof and converts complex data diagnostics into strategic risk insights. As a result, the enterprise leaders are able to have full visibility on their AI implementations throughout their lifecycles and speed up their adoption process.
The solution is specially designed for the requirements of the new agentic age and takes things beyond simple benchmark tracking. It merges target-specific evaluations with dynamic red-teaming exercises and continuous tracking parameters that adapt automatically whenever underlying models, operational data, or threat vectors shift.
“AI governance has long lacked a technical foundation,” said Dr. Petar Tsankov, CEO and Co-founder of LatticeFlow AI. “There has been a persistent gap between what governance frameworks require and what organizations can actually measure. By connecting frameworks directly to technical controls, we enable enterprises to understand, control and govern AI risk with evidence, continuously.”
Introducing AI Atlas: Turning Global Regulations Into Executable Safeguards
This new software framework is anchored by AI Atlas, a pioneering public registry that connects global AI governance frameworks to technical controls and automated testing components. AI Atlas supports more than 40 different regulatory frameworks, such as the EU AI Act, NIST, OWASP, ISO 42001, and FINMA, to translate complex legal frameworks into practical and ready-to-use systems assessments.
This framework marks a shift for the industry from traditional checklists and manual assessments to automated runtime assessments. The framework is in line with leading frameworks around the world, particularly the NIST AI Risk Management Framework in the United States.
“AI governance can no longer be treated as a static verification problem,” said Dr. Apostol Vassilev, Leading Expert in Trustworthy and Responsible AI and Cybersecurity at NIST. “Because we cannot build a flawless, permanent wall around AI systems, security and governance must evolve beyond cyclical, paper-driven reviews and move directly into the operational runtime to continuously measure, constrain, and manage risk throughout the operational lifecycle. Only by replacing static policy reviews with continuous, runtime technical evidence can we confidently navigate the realities of the agentic world.”
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This paradigm shift is also drawing significant momentum from top-tier institutional partners working to secure deployments across heavily supervised spaces like the financial sector.
“Agentic AI is fundamentally changing what effective governance requires. As AI systems gain the ability to reason, use tools and take autonomous actions, policies and periodic reviews are no longer enough. Organizations need to continuously discover where AI is being used, evaluate how it behaves, and govern it through technical risk controls that evolve alongside these systems. This is especially critical in banking, where innovation must scale alongside trust, resilience, and regulatory accountability. LatticeFlow AI is making important contributions to the evidence-based control of agentic systems,” said Dr. Holger Harms, Head of Banking Innovation Lab at Swisscom.
Validated by Global Enterprise Leaders and Market Analysts
The platform is already proving its utility in highly complex, data-reliant industries. It is currently being utilized by major enterprise corporations such as SAP and Axpo, alongside rapidly scaling fintech innovators like Unique AI, a dominant global industrial technology firm, and a premier international healthcare conglomerate.
This commercial traction follows LatticeFlow AI’s inclusion in the inaugural 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, where analysts highlighted the company’s vital role in transitioning the market toward verifiable, technical proof.
“Innovation only scales when it’s built on trust,” said Dr. Sina Wulfmeyer, Chief Data Officer at fast-growing fintech Unique AI. “As AI moves into core investment and advisory workflows, we need continuous technical evidence that our systems are reliable, transparent and safe. The LatticeFlow AI Platform gives us that evidence, so we can deploy AI with confidence in a highly regulated environment.”
As autonomous, agentic AI systems become standard infrastructure across the modern business landscape, static paperwork will no longer suffice. Organizations require a foundation built on persistent technical evidence to maintain visibility and security a standard that LatticeFlow AI is actively defining.
