LatticeFlow AI Launches Platform for Evidence-Based AI Governance

The firm introduces AI GO!, the primary platform to ship deep technical assessments throughout any AI system, empowering organizations to speed up their AI benefit

LatticeFlow AI, the Swiss deep-tech firm advancing reliable and compliant AI, as we speak introduced the Early Access Program for AI GO!, the primary platform that permits AI Governance Operations by way of deep technical assessments. With this, LatticeFlow AI units a brand new normal for AI governance and compliance, enabling organizations to speed up their AI benefit.

Traditional Governance, Risk and Compliance (GRC) techniques, primarily based on checklists, are inadequate to control advanced and quickly evolving AI techniques. LatticeFlow AI GO! gives rigorous, evidence-based assessments that uncover AI dangers, generate audit-ready insights, and empower assured decision-making. The platform equips AI threat and compliance groups with the visibility and confidence they should harness the total potential of GenAI purposes, chatbots, and the newest LLMs.

“The solely approach AI governance can work and scale is when it’s grounded in technical proof,” stated Petar Tsankov, CEO and Co-Founder of LatticeFlow AI. “With AI GO!, enterprises acquire the deep insights they should handle AI dangers, show compliance, and speed up innovation with confidence.”

Building on its management as co-creator of COMPL-AI (the primary framework to evaluate GenAI fashions towards the EU AI Act) and grounded in Swiss precision and scientific rigor, LatticeFlow AI units a brand new normal for doing AI governance proper. The firm transforms advanced AI techniques into clear, auditable, and reliable insights enterprises can depend on for any framework, normal or regulation, akin to NIST, ISO, and the EU AI Act.

More info and demos of LatticeFlow AI GO! can be found on this hyperlink.

Getting AI Governance Right Through Evidence and Trust

With AI GO!, LatticeFlow AI permits organizations to get AI governance proper by combining rigorous technical assessments with the automation required to use constant oversight throughout departments and use instances.

Given its AI-first governance method, the brand new platform permits groups to leverage out-of-the field AI threat frameworks, such because the EU AI Act, or add their very own, customized AI threat frameworks, guaranteeing AI governance aligns with enterprise wants.

In addition, LatticeFlow AI GO! is extensible throughout modalities and purposes, from GenAI, LLMs, chatbots, to Computer Vision and Tabular fashions, offering a unified solution to consider efficiency, security, and compliance for any AI system.

Finally, the brand new platform helps a variety of vital use instances, validating GenAI purposes and chatbots, screening LLMs, assessing third-party AI dangers, and guaranteeing compliance with rules, such because the EU AI Act.

Advancing Evidence-Based EU AI Act Compliance

Building on its function as co-creator of COMPL-AI, the primary framework to map EU AI Act ideas to concrete technical controls, LatticeFlow AI is on the forefront of advancing evidence-based compliance. Most not too long ago, the corporate delivered the primary EU AI Act compliance-centered evaluation of the Swiss LLM Apertus, which turned the primary giant AI mannequin compliant with the EU AI Act, additional demonstrating its capability to translate regulatory ideas into clear, auditable technical assessments enterprises can depend on.

“The EU AI Act is a turning level for the business,” added Dr. Tsankov. “It calls for concrete technical proof that AI techniques are secure and reliable. With AI GO!, we assist enterprises meet compliance head-on whereas persevering with to drive innovation and worth.”

Broad Industry Support

LatticeFlow AI’s business management was not too long ago highlighted at Trustworthy AI in Practice, a flagship occasion co-hosted with ETH Zurich final September ninth. The occasion underscored LatticeFlow AI’s deep scientific roots and its distinctive capability to convey the total AI ecosystem.

The occasion was a convincing success, uniting thought leaders from academia, business, massive tech, and enterprises to advance the dialogue on making reliable AI a actuality.

A key takeaway from the occasion was the urgent want for AI governance operations. Adrian Ott, Chief AI Officer at EY Switzerland, highlighted: “For profitable AI transformation in companies, it’s essential that AI innovation and threat administration work in tandem moderately than working in opposition.”

Dr. Matthias Bossardt, Partner and Head of Cyber & Digital Risk at KPMG Switzerland, added: “To profit from AI at scale, organizations should set up sturdy AI governance processes that allow environment friendly threat and efficiency monitoring.”

From the analysis and innovation view, Dr. Imanol Schlag, Technical Lead of the not too long ago launched Swiss LLM Apertus, burdened: “The Swiss AI Initiative proves that large-scale efforts don’t have to decide on between functionality and transparency.”

Finally, from a know-how perspective, Dr. Naya Giannakopoulou, Senior Technical Architect at Microsoft Innovation Hub, remarked: “The way forward for enterprise-scale AI lies in guardrails that flip governance into an accelerator, not a blocker.”

Together, these views replicate a shared imaginative and prescient: advancing AI governance by way of deep technical assessments that ship belief, compliance, and innovation at scale.

The put up LatticeFlow AI Launches Platform for Evidence-Based AI Governance first appeared on AI-Tech Park.