AI Agents

Descope Agentic Identity Hub: AI Agent IAM Arrives

Descope Agentic Identity Hub: AI Agent IAM Arrives

AI, Application Development, Automation, Compliance, Security /

Descope has launched the Agentic Identity Hub, a dedicated identity provider for AI agents and MCP servers. The product addresses a fundamental gap in traditional IAM: AI agents need ephemeral credentials, runtime-scoped permissions, and delegation-aware audit trails that existing platforms were never designed to provide. ECI Research finds AI code governance is the #1 enterprise security investment priority for 2026, making this launch well-timed.

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Gurobi Intelligence Hub Brings AI Agents to Optimization

Gurobi Intelligence Hub Brings AI Agents to Optimization

AI, Application Development, Enterprise Software, Machine Learning /

Gurobi has launched the Intelligence Hub, a suite of AI-powered agents designed to make mathematical optimization more accessible across the full model lifecycle. The platform includes a Modeler, an Explainer, and a Local MCP server for integration with existing AI development environments. ECI Research examines the strategic implications for enterprise AI teams and multi-agent architectures.

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Cisco Acquires Astrix Security: NHI Security for AI Agents

Cisco Acquires Astrix Security: NHI Security for AI Agents

Application Development, Enterprise IT Strategy, Security /

Cisco has acquired Astrix Security to secure the API keys, OAuth tokens, and service accounts used by AI agents across the enterprise. The deal integrates NHI governance into Cisco Identity Intelligence, Duo IAM, and Splunk. This note analyzes why the acquisition addresses a structural gap in Zero Trust architectures built for human identities.

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Salesforce Outcome-Based AI Pricing: What Enterprises Must Know

Salesforce Outcome-Based AI Pricing: What Enterprises Must Know

AI, Application Development, Customer Experience, Enterprise Software /

Salesforce is charging for customer service AI only when it resolves issues without human involvement. The pricing model is bold, but the harder problem is agreeing on what “resolved” actually means. ECI Research breaks down what IT leaders and developers need to evaluate before signing outcome-based AI contracts.

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Nomerra Raises $2M to Bring AI Agents to Private Markets Ops

Nomerra Raises $2M to Bring AI Agents to Private Markets Ops

AI, Application Development, Automation, Enterprise Software, FinOps /

Berlin-based Nomerra has raised $2 million to make private market operations AI-native, targeting the manual back-office work still running on emails, PDFs, and spreadsheets. The company’s vertical AI agents follow firm-specific procedures and deliver auditable outputs across fund accounting, treasury, and transfer agency. As private markets approach $30 trillion in AUM, the case for operational AI infrastructure has never been clearer.

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CData's New Dev Tools Tackle Enterprise AI Data Access

CData’s New Dev Tools Tackle Enterprise AI Data Access

AI, Application Development, DevOps, Enterprise Software, Machine Learning /

CData Software has launched three developer-facing products designed to eliminate the governance bottleneck blocking enterprise AI projects at the data layer. Connect AI Developer Edition, the CData Python SDK, and CData CLI give developers SQL, Python, and command-line access to hundreds of enterprise systems, while preserving the audit trails and access controls IT requires. The move targets a structural problem in enterprise AI: developers need fast data access, and IT needs visibility over every interaction.

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Ceros Launches Agentic AI Security Trust Layer for Enterprises

Ceros Launches Agentic AI Security Trust Layer for Enterprises

Agentic AI, Application Development, Enterprise IT Strategy, Security /

Beyond Identity has launched Ceros, an agentic AI trust layer that provides identity verification, runtime governance, and provenance tracking for autonomous AI agents. The platform addresses a critical enterprise security gap as AI agent adoption accelerates without corresponding oversight tooling. ITDMs and security teams should evaluate their agentic AI attack surface now, before incidents force the conversation.

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How to Evaluate an AI Agent Platform for Enterprise CX in 2026

How to Evaluate an AI Agent Platform for Enterprise CX in 2026

AI, Application Development, Automation, Customer Experience, Enterprise Software /

Ushur’s 2026 AI Agent Buyers Guide argues that enterprise CX deployments succeed or fail on compliance architecture and journey-completion capability, not conversational quality. ECI Research analysts assess the guidance, the competitive landscape, and what ITDMs and developers should actually test before signing a contract. The market is consolidating, and the platforms with production credibility in regulated industries will win.

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Closing the Enterprise AI Context Gap | ECI Research

Closing the Enterprise AI Context Gap with Relational AI

AI, Application Development, Decision Intelligence, Enterprise Applications, Machine Learning /

The enterprise AI market is discovering that larger models don’t fix a broken context architecture. Relational AI CEO Molham Aref argues that closing the AI value gap requires executable, relational context grounded in business semantics. ECI Research examines the implications for IT decision-makers managing token economics and developers building production-grade agent systems.

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