Tag: AI Governance
DevOps Has Always Been Hard to Define. Does a Standard Help?
Alan Shimel | | agentic AI, AI agents, AI Governance, automation, CI/CD, devops, DevOps governance, devops institute, devops maturity, DevOps practices, DevOps standard, DORA, ITIL 5, observability, OWASP agentic AI, PEOPLECERT, platform engineering, software delivery, software engineeringThe new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different responsibilities ...
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
Pavan Gatadi | | AI agents, AI Governance, CI/CD, data architecture, data governance, data products, devops, distributed SQL, enterprise data, enterprise GenAI, federated query, HIPAA, kubernetes, MCP, observability, regulated data, role-based access control, semantic layer, Starburst, Terraform, TrinoA federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access ...
Open Source Mod Brings Rate Limits, Costs and CI Status Into View for Claude Code Users
Tom Smith | | agentic AI, AI coding agents, AI costs, AI Governance, AI observability, Anji Xu, CI/CD, Claude Code, Claude Statuspane, context windows, developer productivity, developer tools, devops, GitHub Actions, platform engineering, token usageClaude Statuspane gives developers real-time visibility into Claude Code context use, rate limits, costs and CI status, highlighting a growing need for agent observability ...
env zero Previews Control Plane for Agentic DevOps Workflows
Mike Vizard | | agentic AI, AI agents, AI Governance, autonomous remediation, cloud infrastructure, CloudQuery, CMDB, devops, devops automation, env zero, EZ Control, IaC, infrastructure as code, infrastructure drift, kubernetes, MCP, platform engineeringenv zero’s EZ Control introduces an agentic DevOps control plane that detects infrastructure drift, applies policy-driven remediation and keeps automated changes attributable, reversible and auditable ...
Your AI Coding Assistant Has the Keys to the Repo. Z.ai Just Showed Why That Matters
Tom Smith | | AI coding assistants, AI Governance, AI security, Cloud Security, code security, Data Exfiltration, data privacy, Developer Security, developer tools, devsecops, egress monitoring, secrets management, shadow ai, Software Supply Chain, source code security, Z.ai, ZCode, Zhipu AIZCode’s default-on indexing feature reportedly uploaded entire developer workspaces to cloud storage, highlighting why AI coding assistants should be treated as privileged software and closely monitored ...
Why Shift Left is Dead
Devin Maguire | | ADLC, agentic development lifecycle, AI Governance, AI guardrails, AI security, AI-Driven Development, AI-generated code, application security, Developer Security, devsecops, prompts, sdlc, secure software development, shadow ai, shift left security, Software Supply Chain SecurityAI-driven development is exposing risks before code is written, forcing security teams to move beyond shift-left and govern agents, prompts, tools and data across the entire development lifecycle ...
Claude Code Adds AGENTS.md Fallback, Cutting Instruction File Sprawl
Tom Smith | | agentic AI, Agentic AI Foundation, AGENTS.md, AI coding agents, AI Development, AI Governance, Anthropic, Claude, Claude Code, coding agents, Cursor, developer tools, devops, Linux Foundation, OpenAI Codex, platform engineeringClaude Code now supports AGENTS.md, giving development teams a shared instruction format across multiple AI coding agents and reducing configuration drift ...
The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
Neel Shah | | agentic AI, AI agents, AI Governance, AI operations, AIOps, automation guardrails, autonomous remediation, devops, human-in-the-loop, incident management, incident response, mttr, observability, production reliability, Runbooks, site reliability engineering, SREA three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence ...
GitHub Puts Guardrails on Copilot’s Sandbox Inside JetBrains IDEs
Tom Smith | | AI agents, AI coding agents, AI Governance, Copilot sandbox, Developer Security, developer tools, Enterprise AI, filesystem controls, GitHub Copilot, GitHub Copilot JetBrains, IDE security, JetBrains, managed policies, MCP governance, network controls, OpenTelemetry, platform engineering, sandbox security, software developmentJetBrains IDEs are where a lot of enterprise backend work happens — Java, Kotlin, Spring, big monorepos with a lot to break. So when an AI coding agent starts running shell commands ...
GitHub’s New Copilot Feature Takes the Guesswork Out of Picking AI Models
Tom Smith | | agentic AI, AI agents, AI coding assistants, AI cost optimization, AI Governance, AI model routing, Code Generation, developer tools, devops, github, GitHub Copilot, model selection, multi-model orchestration, platform engineering, Project HydraFusion, software developmentGitHub’s Project HydraFusion brings multi-model orchestration to Copilot, automatically routing coding tasks across AI models to balance quality, cost and complexity ...
From the Horse’s Mouth: Anthropic Says AI Has Changed the SDLC
Alan Shimel | | agentic development, AI code review, AI coding agents, AI Governance, AI-assisted development, AI-native SDLC, Anthropic, autonomous agents, CI/CD, Claude Code, Code Generation, developer productivity, devops, internal developer platforms, platform engineering, software delivery, software development lifecycle, software engineering, software security, software testingAnthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations ...
GitHub Puts Copilot in the Approval Seat for Pull Requests
Tom Smith | | AI code review, AI coding, AI Governance, automated code review, branch protection, code review, Copilot code review, developer productivity, developer tools, devops, Engineering Governance, github, GitHub approvals, GitHub Copilot, PR approvals, pull requests, software development, software lifecycleGitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself ...
