Measure safety and capabilities of DeepSeek R1, Claude 3.5 (or 3.7), OpenAI o1, and many others. This and more in the latest issue of Keeping Up with AI.
Earlier this year, DeepSeek R1 took over news headlines. What AI governance leaders need to keep in mind is that, for the foreseeable future, AI innovation will continue at a breakneck pace. Chasing shiny objects without contextual AI governance can be dangerous for enterprises.
To solve this problem, Credo AI is thrilled to introduce Model Trust Scoresâthe first enterprise-grade AI model leaderboard designed to cut through the noise and help you select AI models with confidence.
Model Trust Scores simplify trusted AI adoption by:
Structured, enterprise-focused AI model evaluations that balance innovation, compliance, and risk
Clarity on which models to trustâso you're not just following the crowd, but making decisions that fit your business needs
Actionable insights on which models are excelling across use cases and industriesâand where gaps still exist
For a deep-dive into model trust scores methodology, our AI Governance Research team pioneered the Model Trust Scores whitepaperâa smarter, data-driven way to evaluate AI models for enterprise AI governance.
Credo AI Featured in New Gartner AI TRiSM Market Guide
The latest Gartner Market Guide for AI Trust, Risk, and Security Management (AI TRiSM) underscores that AI governance is no longer optionalâitâs essential. At Credo AI, weâve spent the last five years shaping this space, and weâre honored to be recognized in Gartnerâs AI TRiSM Report as a Representative Vendor. With AI governance gaining traction, Gartner predicts that by 2028, 25% of large organizations will have dedicated AI governance teams, up from less than 1% in 2023.
Left to Right: Dev Stahlkopf, EVP and Chief Legal Officer, Cisco; Navrina Singh, Founder and CEO, share the stage in a fireside chat at Ciscoâs inaugural AI Summit.
Last month, over 100 C-level AI thought leaders gathered in East Palo Alto for Ciscoâs inaugural AI Summitâa high-impact event focused on turning AI governance from theory into action. This wasnât just another tech meetup; it was a strategic move to ensure enterprise AI governance is a springboard to innovation.
During a standout fireside chat, Credo AI Founder & CEO, Navrina Singh dropped a truth bomb: "If you do governance right, itâs an enabler to AI innovation." In conversation with Ciscoâs EVP & Chief Legal Officer Dev Stahlkopf, the message was clearâgovernance isnât a regulatory hurdle, itâs a business accelerator. Or as Dev put it, âAI governance is not a nice to have.â
AI is moving fast, and the companies that get governance right will be the ones that lead. Congrats to Cisco for bringing the right minds together to shape AIâs futureânot just for business, but for humanity.
Collaboration for the Intelligent Age: Credo AI at Davos and more
Left to Right: Jeetu Patel, EVP and Chief Product Officer, Cisco; Martin Lund, EVP, Cisco; Arvin Jain, CEO, Glean; Navrina Singh, Founder and CEO, Credo AI speaking on Addressing the AI Readiness Gap, AI House Davos 2025
Credo AI was honored to have a presence at Davos 2025, where the theme was almost synonymous with AI governance: Collaboration for the Intelligent Age.
Our CEO, Navrina Singh, participated on anexciting panel in the AI House discussing the role of AI in the workplace of the future, including the limitations associated with power, data, evaluation models, ethical considerations, AI safety, and more.
This year at Davos, the excitement around AI agents was palpable, with OpenAIâs Operator leading the charge. Mark Benioff made the prediction that "Today's CEOs are the last to manage an all-human workforce."
While these systems remain in a phase of experimentation, the potential is clearâAI agents are poised to transform workflows, enhance decision-making, and redefine industries.
This is the dawn of a new operational paradigm, and the rise of agents AI technology has reshaped how organizations are thinking about governance. As enterprises entrust more critical work to AI, the need for governance has never been clearer.
Enterprises are contending with a variety of factors in AI policy and standards which influence the decisions they make regarding their AI governance, including (but not limited to):
Global Regulation (e.g. the European Union AI Act)
U.S. State-Level Legislation (e.g. Colorado Stateâs AI Act)
Global Standards (e.g. ISO/IEC 42001)
Voluntary Codes of Conduct (e.g. the Canadian Governmentâs Voluntary Code of Conduct on GenAI or the Biden-â Harris Administration Voluntary AI Commitments from July 2023)
Industry Best Practices (e.g. Microsoftâs annual Responsible AI Transparency Report)
U.S. Government Frameworks (e.g. the NIST AI Risk Management Framework)
Regional Frameworks (e.g. Singaporeâs AI Verify Framework)
Supra-national recommendations (e.g. OECD Principles for Trustworthy AI)
Read our latest Policy Team update to understand key dates for your company today.
