AI News for the Week of September 11; Updates from DataCamp, IDC, Rutgers & More

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of September 11, 2026.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

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AI News for the Week of September 11, 2026

Akamai And MuleSoft Pair API Runtime Defense With Agent And MCP Governance

Akamai and MuleSoft have expanded their technology collaboration to integrate Akamai API Security with MuleSoft Agent Fabric, combining API inventory and runtime threat intelligence with governance for APIs, MCP servers, agents, and AI interactions. The two-way integration synchronizes API specifications and environment data, detects discrepancies between design and live traffic, and feeds Akamai behavior analytics and risk scores into MuleSoft’s control plane to help teams find shadow APIs and unmonitored MCP endpoints; it is available now and in use by more than 20 organizations.

Read on for more→ Akamai and MuleSoft Unify Real-Time API Defense and AI Policy Control

Ataccama Gives AI Agents A Way To Validate Enterprise Data Quality Before Use

Ataccama has introduced capabilities that let AI agents check whether data meets required quality thresholds before using it for analysis or automated actions. The approach is intended to extend data-quality controls into agentic workflows, helping enterprises prevent inaccurate, incomplete, or noncompliant data from shaping AI-generated decisions and outputs.

Read on for more→ Ataccama Lets Agents Check If Data Is of a High Enough Quality

Cloudera Finds Manufacturing AI Programs Stalled By Governance And Workflow Gaps

Cloudera’s Data Readiness Index 2026 found that 20% of manufacturing organizations cite weak integration of AI and analytics into operational workflows as the leading reason initiatives fail to achieve expected ROI. Although 82% report visibility into where their data resides, only 58% say all or nearly all data is fully governed, exposing the challenge of applying AI across fragmented factory, supply-chain, enterprise, and edge data environments.

Read on for more→ Manufacturing AI Initiatives Face Governance and Workflow Integration Challenges

Euno Raises $23 Million To Build An AI-Native Enterprise Context Layer

Euno has raised a $23 million Series A led by N47, bringing total funding to $29 million, to expand its platform for continuously discovering and reconstructing the lineage, meaning, ownership, and governance rules behind enterprise data. The company’s “context brain” is designed to give each AI agent only the task-relevant context it needs, while learning from operational metadata and agent feedback to support governed, cross-domain deployments; Euno says customers include AlphaSense and Zayo Group.

Read on for more→ Euno Raises $23 Million Series A to Build the AI Context Brain for the Enterprise

Red Hat AI 3.5 Adds Agent Governance, Multi-Tenant GPU Controls, And Production Observability

Red Hat AI 3.5 is now generally available with EvalHub for model safety benchmarking and auditable compliance reporting, plus dashboards for inference health, model and agent performance, GPU utilization, and per-user token showback. The release adds AutoRAG with visual pipeline testing and contextual retrieval, agent templates, MLflow agent tracing, and more.

Read on for more→ Red Hat Announces Release of Red Hat AI 3.5

RingCentral Opens Voice, SMS, And Chat Context To ChatGPT And Claude Workflows

RingCentral has launched a ChatGPT plugin and MCP connectors for Claude that make voice, SMS, and chat data available to large language models under role- and identity-based access controls. The integrations enable workflows such as prioritizing sales leads from call and CRM history, sending personalized follow-ups, flagging support escalations, and creating task lists from conversations; voice, SMS, and chat connectors are available now with paid RingEX plans.

Read on for more→ RingCentral Announces Plugin for ChatGPT and MCP Connectors for Claude So Businesses Can Turn Conversations into Actions

Storyblok Adds Conversational Agents To Automate Content Operations Inside Its CMS

Storyblok has introduced Storyblok Agents, an AI-powered content-operations layer that enables teams to ask questions about content, identify stale, duplicate, untranslated, or incomplete assets, make changes in conversation, and create agents for recurring scheduled tasks. Customers can select an AI model and provider or use their own credentials to manage token spending, while an MCP server gives compatible external agents structured access to Storyblok workspaces; the company says agents operate within existing permissions and approvals.

Read on for more→ Storyblok Introduces Storyblok Agents to Enable Teams to Have Conversations With Their Content and Automate Tasks in the CMS

Wasabi Forms Dedicated AI Storage Business To Target Labs, Startups, And Neoclouds

Wasabi Technologies has created a dedicated Silicon Valley-based AI business and appointed semiconductor and storage executive Pinaki Mukherjee as senior vice president and general manager to lead it. Wasabi says it already stores hundreds of petabytes of AI data and will focus its strategy, partnerships, and go-to-market efforts on independent object storage for training and inference workloads, emphasizing predictable pricing without egress or API fees as customers move data among GPU compute environments.

Read on for more→ Wasabi Establishes AI Business in Silicon Valley, Taps Pinaki Mukherjee to Lead as Senior Vice President & General Manager

Western Digital And IDC Say AI Is Extending Data Retention And Increasing Storage Demand

Western Digital and IDC highlight how AI adoption is increasing both the volume of enterprise data that organizations need to retain and the duration for which it must remain accessible. As enterprises preserve more training, operational, compliance, and analytical data, the findings point to growing demand for scalable, cost-efficient storage architectures that can support AI workloads without compromising data availability or governance.

Read on for more→ Western Digital and IDC Examine How AI Is Reshaping Data Retention and Storage Demand