agentic 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.

Databricks OpenSharing: The Open AI Data Protocol Explained Read More »

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.

LocalStack Blueprint Brings AI Agents to Local Cloud Testing Read More »

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.

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

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.

AI Agent Security: Why Behavior Beats Authentication | ECI Research Read More »

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.

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

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.

OpenSharing Project: Open Protocol for AI Asset Interoperability Read More »

Stacklet's Autonomous Cloud Governance Play at FinOps X

Stacklet’s Autonomous Cloud Governance Play at FinOps X

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

Stacklet is expanding its agentic AI layer and AI-resource coverage at FinOps X, positioning its Cloud Custodian policy engine as the enterprise control plane for autonomous cloud governance. The company’s decade of open-source context and proven remediation track record differentiate it in a market where governance tooling mostly produces findings rather than fixes. ECI Research analysis covers what this means for IT decision-makers managing AI cloud spend and for developers navigating AI-generated infrastructure code.

Stacklet’s Autonomous Cloud Governance Play at FinOps X Read More »

Google's Open Source Strategy in the AI Era | ECI Research

Google’s Open Source Strategy in the AI Era | ECI Research

Application Development, Cloud, DevOps, Infrastructure /

Google’s OSPO presented its open source strategy to an external developer council, framing open source as a deliberate competitive lever rather than altruism. ECI Research analyzes the A2A protocol bet, supply chain sustainability risks, and what enterprise ITDMs and developers should take away. The governance frameworks being written today will shape open source contribution norms for the next decade.

Google’s Open Source Strategy in the AI Era | ECI Research Read More »

AI Governance Compliance: Closing the Gap Before August 2026

AI Governance Compliance: Closing the Gap Before August 2026

AI, AI Governance, Application Development, DevSecOps /

Most enterprises are applying security tooling to an AI governance problem, and the mismatch is creating real compliance exposure. With EU AI Act high-risk provisions taking full force in August 2026 and updated HIPAA rules now demanding decision-level evidence, the window to close this gap is narrowing. This note examines what Trussed.ai’s approach means for ITDMs and developers building on agentic architectures.

AI Governance Compliance: Closing the Gap Before August 2026 Read More »

PMI's ANSI AI Governance Standard: What It Means for Enterprise

PMI’s ANSI AI Governance Standard: What It Means for Enterprise

AI, Application Development, Compliance, Enterprise IT Strategy /

PMI has released the first ANSI-approved global standard for governing AI in portfolio, program, and project management. As enterprise AI adoption accelerates, the absence of structured governance is producing legal exposure and reputational failures. This note examines what the standard means for IT decision-makers and developers navigating the shift from AI pilots to production.

PMI’s ANSI AI Governance Standard: What It Means for Enterprise Read More »