Wisecube AI

06/25/2026

You approved the AI system. Did you assess the vendor behind it?

Third-party vendors are one of the biggest blind spots in healthcare AI governance. You review the model. You review the use case. But vendor risk, the contracts, controls, security posture, and liability, usually lives in a spreadsheet that nobody owns.

Governor's vendor management closes that gap end to end:

• Automated vendor risk scoring, with justification for every score

• Version-controlled contracts and control requirements

• Audit trails for every vendor decision, accessible on demand

• Dedicated workflows for the people who own vendor risk across your organization

This is governance automation, not governance theater. The AI scores the vendor and shows its reasoning. Your team reviews and approves. So when a regulator or IRB asks how you assessed a vendor, the answer is one click away, not a three-week archaeology project.

Governing your AI means governing everything that powers it. Governor deploys in 10 minutes, and Platform Core is free forever.

Learn more: https://pacific.ai/governor/

Get started on Azure Marketplace: https://marketplace.microsoft.com/en-us/product/container/pacific-ai.pacificai

06/24/2026

Six new frontier models are now on the 𝗠𝗲𝗱𝗛𝗘𝗟𝗠 𝗹𝗲𝗮𝗱𝗲𝗿𝗯𝗼𝗮𝗿𝗱: Gemini 3.1 Pro (Preview), Gemini 3.5 Flash, Muse Spark, GPT-5.4, GPT-5.4 mini, and Claude 4.6 Opus.

Six legacy snapshots have been retired. GPT-5 (Aug 2025), GPT-5 mini (Aug 2025), o4-mini, o3-mini, Claude 3.5 Sonnet, and GPT-4o are no longer included, keeping comparisons focused on currently supported model generations.

Benchmark methodology and scoring criteria are unchanged. Results across leaderboard versions remain directly comparable.

Explore the updated rankings, the direct link in the comments.

MedHELM evaluates frontier LLMs on real clinical tasks, developed in open-source collaboration with Stanford CRFM.

Stanford University Stanford Institute for Human-Centered Artificial Intelligence

06/23/2026

𝗧𝗵𝗲 𝗝𝗼𝗶𝗻𝘁 𝗖𝗼𝗺𝗺𝗶𝘀𝘀𝗶𝗼𝗻 now offers voluntary certification for 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗨𝘀𝗲 𝗼𝗳 𝗔𝗜 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 (𝗥𝗨𝗔𝗜𝗛). For U.S. hospitals deploying AI, it puts your governance program on record.

𝗧𝗵𝗲 𝗖𝗼𝗮𝗹𝗶𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵 𝗔𝗜 (𝗖𝗛𝗔𝗜) co-developed the certification standards with the Joint Commission. Pacific AI is a CHAI-certified Assurance Resource Provider. The RUAIH framework maps directly to the evidence-based governance structures, testing requirements, and monitoring standards CHAI has been advancing for healthcare AI.

Pacific AI now offers 𝗥𝗨𝗔𝗜𝗛 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 as an advisory engagement covering all five standard areas: governance and AI registry setup, data management controls, pre-release bias and safety testing, continuous production monitoring, and the transparency and training documentation the standards require.

Governor, Gatekeeper, and Guardian cover each area end to end, with AI-generated model cards, automated risk scoring, and human-in-the-loop review throughout. For hospitals where RUAIH certification is on your roadmap this year, we can stand up a compliant program in 12 weeks.

No existing Joint Commission accreditation is required to apply.
Scoping call and program details → https://pacific.ai/advisory-managed-services/

06/22/2026

Ten questions show whether your AI governance program is operational, or mostly documented.

The Pacific AI Governance Quiz tests the full lifecycle: how you track shifting regulations, approve new AI tools for launch, maintain a living model registry, gate releases through CI/CD, monitor production performance, and generate audit-ready model cards.

Three minutes. 40 points. Instant score and a personalized roadmap.

Take the quiz ↓
https://pacific.ai/ai-governance-quiz/

06/11/2026

The Joint Commission’s Responsible Use of AI in Healthcare (RUAIH) certification, announced June 1, 2026, is the first U.S. certification for how healthcare organizations use AI. It’s voluntary, open to more than 22,000 organizations, and organized around five standard areas. It certifies your g...

06/09/2026

𝗧𝗵𝗲 𝗣𝗮𝗰𝗶𝗳𝗶𝗰 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲.

Healthcare organizations on Microsoft Azure can deploy Governor, Gatekeeper, and Guardian inside their own Azure tenant in 10 minutes via Azure Managed Apps, billed against existing cloud spend. Your data does not leave your environment. No separate vendor security review beyond what Azure already covers.

Compliance teams mapping AI systems to CHAI, NIST AI RMF, and the EU AI Act need governance that runs in their own infrastructure.

𝗚𝗼𝘃𝗲𝗿𝗻𝗼𝗿 handles registry, risk, policy, vendor risk, and model cards. It generates model cards automatically and produces vendor risk scores with justification, risk-level recommendations, and remediation controls.

𝗚𝗮𝘁𝗲𝗸𝗲𝗲𝗽𝗲𝗿 gates every AI release in CI/CD.

𝗚𝘂𝗮𝗿𝗱𝗶𝗮𝗻 monitors production continuously for accuracy, bias, safety, and drift.

CHAI-certified. Purpose-built for healthcare.

Platform Core is free. Pay per credit only for AI-enabled features.

Get started on Azure Marketplace: https://marketplace.microsoft.com/en-us/product/pacific-ai.pacificai

06/05/2026

Webinar on continuous testing and monitoring of LLMs in healthcare explores accuracy, fairness, safety, and compliance with Pacific AI governance tools.

06/04/2026

06/03/2026

𝗣𝗮𝗰𝗶𝗳𝗶𝗰 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗔𝗪𝗦 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲.

Healthcare organizations can now access Governor, Gatekeeper, and Guardian through existing AWS billing. 10-minute deployment via CloudFormation. Your data stays in your environment.

𝗚𝗼𝘃𝗲𝗿𝗻𝗼𝗿 handles AI registry, risk, policy, and vendor assessment. It generates model cards automatically and produces vendor risk scores with justification.

𝗚𝗮𝘁𝗲𝗸𝗲𝗲𝗽𝗲𝗿 gates pre-release AI in CI/CD.

𝗚𝘂𝗮𝗿𝗱𝗶𝗮𝗻 monitors production.

One platform from policy to CI/CD to production, built for the governance requirements healthcare organizations actually face.

Platform Core is free.

Get started on AWS Marketplace: https://aws.amazon.com/marketplace/pp/prodview-7p465jzhmzmfk

06/01/2026

Large language models are now embedded in tutoring apps, educational platforms, and healthcare chatbots that children use every day. The safety guardrails on most of those models were not designed with children in mind. Standard LLM safety evaluations test for harmful output in general adult context...