AI

The CMS Is Now Enterprise Infrastructure: 2026 Research

The CMS Is Now Enterprise Infrastructure: 2026 Research

Liferay’s 2026 Digital Content Management Report reveals that 60% of organizations share their primary content tool across three or more teams, and 86% use AI in their content stack. But trust in AI-autonomous publishing remains low, and tool fragmentation is getting worse, not better. ECI Research analysis on what this means for ITDMs and platform architects.

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Starburst Enterprise Intelligence Platform: Analyst Take

Starburst Enterprise Intelligence Platform

Starburst announced its Enterprise Intelligence Platform at AI+Datanova 2026, combining federated data access, AI-powered AIDA, and managed Iceberg lakehouse operations. ECI Research examines the architectural bet against consolidation, the competitive implications for Databricks and Snowflake, and what enterprises should evaluate now. The announcement reflects a broader market shift toward running AI on governed data in place, without replatforming.

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Edera at Open Source Summit 2026: Container Runtime Security

Edera at Open Source Summit 2026: Container Runtime Security

At Open Source Summit 2026, Edera made the case that containers were never security boundaries and that runtime isolation is the missing layer in most enterprise security stacks. A new partnership with Minimus pairs rapid patching with runtime protection. ECI Research examines the implications for cloud-native security strategy.

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Dynatrace at OSS 2026: Observability Consolidation & AI Agents

Dynatrace at OSS 2026: Observability Consolidation & AI Agents

Dynatrace used Open Source Summit 2026 to signal a deliberate shift: observability is moving out of the browser dashboard and into the IDE and agent interface. With multi-agent AI workflows expanding the telemetry surface area, full-stack platform consolidation is accelerating. ECI Research analyzes what this means for IT decision-makers and developers choosing their observability strategy.

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Google AI Threat Defense: Autonomous Security Arrives | ECI Research

Google AI Threat Defense: Autonomous Security Arrives | ECI Research

Google Cloud has launched Google AI Threat Defense, an autonomous platform designed to prioritize and remediate vulnerabilities faster than attackers can exploit them. ECI Research examines the competitive implications, the developer experience questions, and the governance gaps enterprises must close before deploying autonomous security at scale.

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Snowflake AI Platform: Security, Microsoft & Multimodal

Snowflake AI Platform: Security, Microsoft & Multimodal

Snowflake’s May AI Pulse update brought a wave of generally available releases spanning AI-assisted security remediation, a native Microsoft Copilot Studio integration via MCP, and expanded multimodal AI functions covering video, audio, and large-scale documents. ECI Research breaks down what these announcements mean for enterprise IT leaders and the developers building on the platform. The governance and multimodal stories are the ones to watch.

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AMD Ryzen AI Halo: The Case for On-Device Agentic AI

AMD Ryzen AI Halo: The Case for On-Device Agentic AI

AMD has announced the Ryzen AI Halo developer platform and Ryzen AI Max PRO 400 Series processors, targeting on-device agentic AI workloads with up to 192GB of unified memory. The move challenges cloud-centric AI infrastructure assumptions and opens a new cost and privacy calculus for enterprise IT. ECI Research analyzes what this means for IT decision-makers and the developers building the next generation of agent workflows.

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GitLab 19.0: Agentic DevSecOps and the AI Paradox

GitLab 19.0: Agentic DevSecOps and the AI Paradox

GitLab 19.0 addresses the AI Paradox: code generation has accelerated, but credential governance, merge workflows, and pipeline security have not kept pace. The release embeds agentic capabilities and unified secrets management directly into the platform where teams already work. ECI Research breaks down what this means for ITDMs and developers evaluating DevSecOps platform consolidation.

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CData Bets on the Enterprise AI Data Layer | ECI Research

CData Bets on the Enterprise AI Data Layer | ECI Research

CData Software has added three executives to accelerate its position as the data layer for enterprise AI, including a new CPTO from Cisco and a VP of AI Architecture from PayPal. ECI Research analysts examine why governed, live data access is becoming the critical bottleneck in agentic AI deployments. The analysis covers competitive positioning, MCP standardization implications, and what IT decision-makers and developers should evaluate now.

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