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Tagged articles

policy enforcement

9 articles · Page 1 of 1
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Aug 27, 2026 · Artificial Intelligence

Why Agents Refund When Policy Says No: The Retrieval-Enforcement Gap

An AI agent correctly retrieves a 'no refund' policy but still executes a $50 refund, exposing the critical gap between policy retrieval and runtime enforcement; the article argues authorization must be enforced at the tool gateway with bound decisions, not just in model context, and outlines regression tests for deny paths.

AI AgentsLLM securityagent architecture
0 likes · 13 min read
Why Agents Refund When Policy Says No: The Retrieval-Enforcement Gap
DataFunTalk
DataFunTalk
Aug 10, 2026 · Artificial Intelligence

Why Anthropic Let Claude Code Auto‑Approve After a 97% Consent Rate

Starting August 14, 2026 Claude Code will run in Auto Mode by default for Pro, Max, and Team subscriptions, shifting approval from human users to an independent classifier that blocks high‑risk actions, a change driven by a 97% consent rate observed in internal testing.

AI safetyAnthropicAuto Mode
0 likes · 9 min read
Why Anthropic Let Claude Code Auto‑Approve After a 97% Consent Rate
Architect
Architect
Aug 3, 2026 · Artificial Intelligence

Separating Planning and Execution in LLM Agents: ArbiterOS Governance Kernel

As LLM agents gain the ability to read code, modify files, send emails and call APIs, ArbiterOS introduces a runtime governance layer that turns model intents into structured, traceable instructions, enabling policies to approve, block, or request confirmation before any high‑risk action is executed.

AI safetyArbiterOSLLM Agents
0 likes · 23 min read
Separating Planning and Execution in LLM Agents: ArbiterOS Governance Kernel
Old Zhang's AI Learning
Old Zhang's AI Learning
May 6, 2026 · Information Security

Why Large‑Model AI Agents Need Strict Security Controls

The article compares AWS Rex, which enforces Cedar policies on Rhai scripts, with Vercel deepsec, which lets powerful coding agents hunt vulnerabilities, showing how both defensive and offensive approaches are shaping the emerging security model for AI agents in production.

AI AgentsCedarRex
0 likes · 12 min read
Why Large‑Model AI Agents Need Strict Security Controls
AI Engineer Programming
AI Engineer Programming
Apr 29, 2026 · Information Security

Managing AI Agents Like Engineering Teams: A Five‑Layer Governance Stack

The article presents a five‑layer governance stack for AI agents—identity, centralized tool registry, policy enforcement, behavioral anomaly detection, and unified security posture—detailing how each layer mirrors traditional engineering team management to reduce attack surface, audit complexity, and migration costs.

AI Agentsanomaly detectioncloud security
0 likes · 11 min read
Managing AI Agents Like Engineering Teams: A Five‑Layer Governance Stack
Liangxu Linux
Liangxu Linux
Aug 12, 2023 · Cloud Native

How Datree Prevents Misconfigurations in Kubernetes Deployments

Datree is an open‑source CLI that validates Kubernetes YAML files against customizable policies, offering syntax checks, version validation, and resource limits enforcement, allowing developers to catch configuration errors without connecting to a live cluster and providing dashboard‑driven rule management.

CLIDatreeKubernetes
0 likes · 5 min read
How Datree Prevents Misconfigurations in Kubernetes Deployments
Open Source Linux
Open Source Linux
Jul 27, 2023 · Cloud Native

How Datree Secures Your Kubernetes Configurations: A Hands‑On Guide

Datree is an open‑source CLI tool that validates Kubernetes YAML files, enforces custom policies, and prevents misconfigurations without needing cluster access, offering dashboard‑driven rule management and a step‑by‑step example that shows how to fix memory and CPU limits in a deployment manifest.

CLIDatreeDevOps
0 likes · 4 min read
How Datree Secures Your Kubernetes Configurations: A Hands‑On Guide