Tetrate and Ory have announced a joint solution that enforces dynamic, granular authorization on AI agent tool calls at the parameter level, built on an Envoy-based gateway. ECI Research examines the identity and governance gap the partnership addresses, and why parameter-level MCP control is becoming a production requirement for enterprise AI deployments.
AI Agent Security: Tetrate and Ory Target Runtime Policy Gaps Read More »
Microsoft Build 2026 delivered a sweeping expansion of its AI developer platform, spanning first-party models, a new enterprise context layer, agent-native Windows capabilities, and a new local AI compute device. The announcements signal Microsoft’s bid to become the governance and tooling backbone for enterprise AI development. ITDMs and developers both face meaningful decisions about platform consolidation in the next 12–18 months.
Microsoft Build 2026: AI Platform, MAI Models, and Enterprise Governance Read More »
Keycard announced Keycard for Multi-Agent Apps, extending its platform to support delegated, session-based access control across autonomous agent systems. The product addresses a structural gap in enterprise AI governance: most multi-agent deployments still rely on shared API keys and persistent credentials that don’t limit access to what any given task requires. For ITDMs and developers building production agentic applications, purpose-built AI agent identity management is quickly moving from optional to essential infrastructure.
Keycard Launches AI Agent Identity for Multi-Agent Apps Read More »
GitLab 18.11 introduces two purpose-built AI agents targeting CI/CD pipeline setup and delivery analytics, alongside a new credit governance framework for enterprise AI spend control. The CI Expert Agent eliminates manual YAML authoring while the Data Analyst Agent brings natural-language access to engineering metrics. Together, these additions address the operational and governance gaps that AI code generation has created but not resolved.
GitLab 18.11: Duo Agents, CI Automation, and AI Budget Controls Read More »
App Orchid introduces role-based LLM guardrails, enabling governed AI, agentic BI, and trusted enterprise decision workflows at scale.
App Orchid Adds Role-Based Guardrails to Enterprise LLM Workflows Read More »
Tabnine’s Enterprise Context Engine models system dependencies and governance to enable safer AI-driven automation.
Tabnine Targets Enterprise AI Context Gap With New Engine Read More »
New research shows AI adoption is high, but oversight defines reliability. Governance becomes the enterprise differentiator.
AI Oversight Emerges as the Real Enterprise Differentiator Read More »
GitLab 18.9 adds self-hosted agentic AI, BYOM, and measurable security dashboards to strengthen governed DevSecOps outcomes.
GitLab 18.9 Pushes Governed Agentic AI and Measurable DevSecOps Outcomes Read More »
AGNTCY joins the Linux Foundation to enable secure, open interoperability for agentic AI across platforms and vendors.
AGNTCY Joins Linux Foundation to Standardize the Internet of Agents Read More »
At Appian World 2025, CTO Mike Beckley outlined a deliberate approach to agentic AI, emphasizing governance, version control, and real enterprise outcomes—proving that thoughtful AI integration beats rushed deployment.
Appian’s Agentic AI Strategy Prioritizes Governance, Enablement, and Real Impact Read More »