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agent governance

18 articles · Page 1 of 1
Alibaba Cloud Native
Alibaba Cloud Native
Oct 24, 2026 · Artificial Intelligence

AgentCore: 10 Capabilities for Enterprise Agent Lifecycle Governance

This article details AgentCore, an enterprise-grade agent platform, covering its ten core capabilities: controlled execution with runtime/sandbox/tool boundaries, full-chain observability with trace metrics, context engineering unifying memory and knowledge, multi-agent team collaboration with three lifecycle modes, evaluation via Code/LLM/Agent judges, skill lifecycle management with six-stage governance, three-layer asset catalog, identity/security with triple identity and audit trails, cost FinOps with per-call metering and quotas, and full lifecycle management from build to continuous improvement.

AI agentsAgentCoreEnterprise AI
0 likes · 12 min read
AgentCore: 10 Capabilities for Enterprise Agent Lifecycle Governance
AI Engineering
AI Engineering
Oct 9, 2026 · Artificial Intelligence

Google Gemini Agent: Task-Centric Architecture Redefines Enterprise AI Agents

Google's Gemini Agent introduces a task-centric architecture where each task gets dedicated compute, agents have distinct identities with Workspace integration, four-layer memory persists across sessions, smart routing selects optimal models, and enterprise governance includes sandboxed execution, audit logs, and cost controls.

AI agentsEnterprise AIGemini Agent
0 likes · 11 min read
Google Gemini Agent: Task-Centric Architecture Redefines Enterprise AI Agents
DevOps in Software Development
DevOps in Software Development
Sep 17, 2026 · Industry Insights

From Human to Agent: Why DevSecOps Platforms Must Restructure for AI-Native Software Factories

The article argues that DevSecOps platforms should be restructured — not replaced — to serve AI agents as primary users, with MCP as the first interface, UIs becoming governance consoles, and agent capabilities managed as versioned assets, especially in regulated industries requiring compliance evidence.

AI agentsDevSecOpsGJB5000B
0 likes · 26 min read
From Human to Agent: Why DevSecOps Platforms Must Restructure for AI-Native Software Factories
Architects Research Society
Architects Research Society
Sep 9, 2026 · Artificial Intelligence

SYNDOVELA: Capability Bundles Replace Per-Skill Agent Systems

SYNDOVELA introduces Capability Bundles as a governance layer for enterprise AI agents, packaging skills, dependencies, policies, and runtime requirements into versioned, signed artifacts with a full lifecycle from release to uninstall, avoiding the chaos of thousands of isolated agent apps or a monolithic runtime.

Capability BundleEnterprise AILifecycle Management
0 likes · 6 min read
SYNDOVELA: Capability Bundles Replace Per-Skill Agent Systems
Baidu Geek Talk
Baidu Geek Talk
Sep 8, 2026 · Artificial Intelligence

Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets

The article defines three criteria — high consultation frequency, fixed judgment paths, and inconsistent conclusions across people — for deciding which business experiences should be codified as AI Agents, illustrates them with the E-SAGE platform's data-metric and live-streaming cold-start diagnosis Agents, and argues the real barrier is business understanding, not programming skill.

AI agentsBusiness ExperienceCloud-Native Architecture
0 likes · 15 min read
Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Aug 17, 2026 · Information Security

Building a Secure Agent Framework: Lessons from OpenAI and Anthropic Risks

Recent OpenAI and Anthropic incidents reveal how unchecked AI agents can escape sandbox limits, prompting a detailed analysis that shows agents’ risks evolve step‑by‑step and proposes a security framework—defining what agents want, what they can do, and establishing comprehensive governance across the task lifecycle.

AI agentsEnterprise SecuritySandbox Escape
0 likes · 12 min read
Building a Secure Agent Framework: Lessons from OpenAI and Anthropic Risks
Frontline Investigation
Frontline Investigation
Aug 12, 2026 · Artificial Intelligence

AI Agents in Production: The Real Challenge Is Identity, Not Capability

The article argues that integrating AI agents into business systems shifts the core challenge from capability to accountability, proposing a four-layer identity framework (initiator, decision-maker, executor, affected) and a four-question checklist to govern agent actions, referencing OWASP and NIST frameworks.

AI agentsAccountabilityNIST AI RMF
0 likes · 13 min read
AI Agents in Production: The Real Challenge Is Identity, Not Capability
Data Bricklaying Diary
Data Bricklaying Diary
Aug 4, 2026 · Artificial Intelligence

Enterprise Agent Experience Reuse: From Knowledge to Governed Capability Packages

This article outlines a four-step framework for converting employee expertise into reusable enterprise agent capabilities: distilling tacit knowledge into organizational knowledge, encapsulating stable task methods as Skills, connecting data and tools via MCP, and packaging them into governed capability bundles with versioning, permissions, and evaluation assets for controlled reuse and continuous improvement.

Capability PackagesKnowledge ManagementMCP
0 likes · 16 min read
Enterprise Agent Experience Reuse: From Knowledge to Governed Capability Packages
James' Growth Diary
James' Growth Diary
Jun 28, 2026 · Artificial Intelligence

How IterationBudget Stops Child Agents from Running Away

The article explains how Hermes' IterationBudget defines per‑agent autonomy limits, prevents cost, latency, context bloat and error amplification, supports refund and grace‑summary mechanisms, keeps parent and child budgets independent, and separates budget, timeout and concurrency controls for robust multi‑agent governance.

Budget RefundHermesIterationBudget
0 likes · 16 min read
How IterationBudget Stops Child Agents from Running Away
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 28, 2026 · Artificial Intelligence

Why a 65‑line Markdown file outshines Anthropic’s docs: 4 rules to stop AI coding mistakes

A 65‑line CLAUDE.md file has eclipsed Anthropic’s official repository by 176 K stars because it transforms AI coding failures—misunderstanding requirements, over‑engineering, and uncontrolled edits—into a disciplined, rule‑driven process that boosts task success from 65 % to 94 %.

AI codingCLAUDE.mdGitHub
0 likes · 9 min read
Why a 65‑line Markdown file outshines Anthropic’s docs: 4 rules to stop AI coding mistakes
Linyb Geek Road
Linyb Geek Road
Jun 19, 2026 · Artificial Intelligence

Agent Skills Review: How New AI Skills Are Redefining Large‑Model Operating Systems

The article surveys the rapid emergence of Agent Skills, outlines a six‑layer framework that defines their ontology, representation, lifecycle, runtime integration, governance, and applications, highlights severe security vulnerabilities revealed in large‑scale studies, and discusses the open research challenges ahead.

AI Agent ApplicationsAI safetyAgent Skills
0 likes · 16 min read
Agent Skills Review: How New AI Skills Are Redefining Large‑Model Operating Systems
Linyb Geek Road
Linyb Geek Road
Apr 19, 2026 · Artificial Intelligence

Wow‑Harness: Mechanical Constraints Let Claude Code Write Code with Minimal Supervision

The article analyzes Claude Code’s common pitfalls—unrun tests, unintended file changes, and bug proliferation—and presents wow‑harness, an open‑source runtime constraint system that uses hooks, an eight‑stage state machine, and tool isolation to enforce strict governance over AI‑generated code, dramatically improving reliability.

AI codingClaude Codeagent governance
0 likes · 7 min read
Wow‑Harness: Mechanical Constraints Let Claude Code Write Code with Minimal Supervision
AI Info Trend
AI Info Trend
Mar 12, 2026 · Artificial Intelligence

Autonomous LLM Agents as Security Threats: Key Findings from ‘Agents of Chaos’

A recent arXiv preprint titled ‘Agents of Chaos’ details an extensive experiment where autonomous large‑language‑model agents, equipped with persistent storage, email, Discord, file system and shell access, were deployed on Fly.io VMs and subjected to red‑team attacks by twenty researchers, exposing eleven real security, privacy and governance failures.

AI riskAI safetyLLM security
0 likes · 9 min read
Autonomous LLM Agents as Security Threats: Key Findings from ‘Agents of Chaos’
PaperAgent
PaperAgent
Mar 3, 2026 · Information Security

What 11 Critical Security Flaws Were Uncovered in OpenClaw AI Agents?

A comprehensive study of the OpenClaw framework reveals eleven severe security vulnerabilities in multi‑agent AI systems, ranging from over‑reactive data deletion to identity‑spoofing attacks, resource‑exhaustion loops, and covert manipulation, highlighting systemic social‑coherence failures and the need for robust agent governance.

AI agentsLLM securityOpenClaw
0 likes · 14 min read
What 11 Critical Security Flaws Were Uncovered in OpenClaw AI Agents?