AI

Databricks OpenSharing: The Open AI Data Protocol Explained

Databricks OpenSharing: The Open AI Data Protocol Explained

AI, Application Development, Data Management, DevOps /

Databricks has announced OpenSharing, a Linux Foundation-hosted open protocol that extends Delta Sharing to cover agent skills, AI models, and unstructured data. The standard adds Apache Iceberg API support and on-premises connectivity through major storage partners. ECI Research breaks down what this means for enterprise IT buyers and the developers building on top of it.

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LocalStack Blueprint Brings AI Agents to Local Cloud Testing

LocalStack Blueprint Brings AI Agents to Local Cloud Testing

AI, Application Development, Automation, Cloud, DevSecOps /

LocalStack has released a blueprint enabling AI agents to provision and test cloud applications inside a local container rather than against live cloud infrastructure. The move directly addresses the infrastructure friction created by agentic code generation at scale. ECI Research analyst commentary explains what this means for ITDMs managing cloud costs and developers building agentic CI/CD pipelines.

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Rivvun AI Raises $7.55M to Close the Enterprise Spend Recovery Gap

Rivvun AI Raises $7.55M to Close the Enterprise Spend Recovery Gap

Agentic AI, Application Development, Cloud, FinOps /

Rivvun AI has raised $7.55 million to build an autonomous AI execution layer that recovers enterprise spend and revenue leakage between commercial obligation and financial settlement. Founded by Icertis veterans, the company targets more than $2 trillion in annual value that never reaches the bottom line. ECI Research examines the market dynamics, deployment model, and competitive risks for enterprise buyers and architects.

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Cyera Raises $600M at $12B: AI Data Governance Goes Mainstream

Cyera Raises $600M at $12B: AI Data Governance Goes Mainstream

AI, Application Development, Compliance, Security /

Cyera has closed a $600 million funding round at a $12 billion valuation, positioning its converged DSPM, DLP, and agentic security platform as the governance infrastructure enterprises need to deploy AI responsibly. The round reflects a structural gap: most organizations lack the visibility to distinguish human from AI agent activity inside their own systems. ECI Research analysis finds this market is set to expand rapidly as regulatory pressure and AI adoption converge.

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AI Translation at Commencement: Wordly's 2026 Trend Report

AI Translation at Commencement: Wordly’s 2026 Trend Report

AI, AIOps, Application Development, Enterprise IT Strategy /

AI translation and real-time captioning are emerging as standard infrastructure at U.S. university commencement ceremonies, led by Wordly’s platform. ECI Research examines the operational, regulatory, and competitive dynamics shaping adoption. Higher education IT leaders and developers evaluating live translation solutions will find a clear-eyed analysis of where this market is headed.

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AI Agent Security: Why Behavior Beats Authentication | ECI Research

AI Agent Security: Why Behavior Beats Authentication | ECI Research

Agentic AI, AI, Application Development, Security /

Cequence Security is claiming the reference architecture position in AI agent security, pointing to independent convergence from Anthropic, Dr. Chase Cunningham, and the Center for Internet Security around runtime behavioral control over agents. ECI Research breaks down why authentication-first approaches are structurally inadequate for agentic AI, and what ITDMs and developers should do about it now. The MCP governance layer is emerging as the critical battleground for AI agent security investment through 2026.

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AI Agent Runtime Risk: Why 3M Daily Interactions Demand New Observability

AI Agent Runtime Risk: Why 3M Daily Interactions Demand New Observability

AI, Application Development, Cloud-Native, DevSecOps, Machine Learning /

Codenotary’s AgentMon platform is monitoring more than 3 million AI-agent interactions per day, with 7% triggering security or compliance anomalies. ECI Research analyzes why this milestone signals a new category of enterprise risk that traditional observability platforms weren’t built to address. ITDMs and platform engineers need a governance strategy now, before a material incident forces one.

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OpenSharing Project: Open Protocol for AI Asset Interoperability

OpenSharing Project: Open Protocol for AI Asset Interoperability

AI, Application Development, Infrastructure, Open Source /

The Linux Foundation has launched the OpenSharing Project, an open protocol for sharing AI models, agent skills, and data across organizational and platform boundaries. Contributed by Databricks and built on the Delta Sharing foundation, the project targets the fragmentation problem at the heart of enterprise agentic AI deployments. ECI Research analysts break down what this means for ITDMs evaluating AI platforms and developers building multi-agent systems.

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Post-Quantum Battery Security: ELECTRA AI and Naoris Partnership

Post-Quantum Battery Security: ELECTRA AI and Naoris Partnership

AI, Application Development, Cyber Security, Infrastructure /

ELECTRA AI and Naoris Quantum Protocol are embedding post-quantum cryptography and decentralized trust verification into AI-managed battery systems. The partnership targets a structural vulnerability in AI-driven energy infrastructure: AI models whose decisions depend entirely on the integrity of the telemetry feeding them. With battery assets operating for 10–15 years, post-quantum readiness is no longer a future consideration for ITDMs and developers building on this infrastructure.

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CloudBolt at FinOpsX 2026: Kubernetes AI Cost Management

CloudBolt at FinOpsX 2026: Kubernetes AI Cost Management

AI, Application Development, Cloud, Events, FinOps, FinOps X 2026 /

CloudBolt is sharpening its FinOps platform around Kubernetes AI workloads, adding GKE support, GPU right-sizing, and token cost attribution built on the FOCUS framework. The moves reflect a broader shift in FinOps from a finance discipline to an engineering one. ECI Research analysis explains what this means for ITDMs and platform teams managing AI infrastructure costs.

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