Loopback Is Not a Trust Boundary: CVE-2026-2611
MLflow 3.9.0's Assistant exposed a local AI agent on /ajax-api with no CORS check. Any webpage could take over Claude Code. The bug is older than MLflow.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
MLflow 3.9.0's Assistant exposed a local AI agent on /ajax-api with no CORS check. Any webpage could take over Claude Code. The bug is older than MLflow.
AI & TechnologyAI agent safety starts with small software: smaller tools, plain files, narrow permissions, and faster tests give coding agents fewer places to hide bugs.
AI & TechnologyAI agent skills can change behavior while pass rates stay flat. Behavioral audits compare traces, declared capabilities, and side effects before trust.
AI & TechnologyAI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyMCP tools need action-level authorization: bearer-token validation must lead to per-tool, per-role, and per-action capability checks before agents act.
AI & TechnologyLong-running AI agents need durable channels: workflow IDs, event logs, resumable streams, typed signals, safe cancellation, and user-visible checkpoints.
AI & TechnologyAgents.txt is not access control. Use robots.txt, llms.txt, bot verification, logs, and server-side policy to manage AI crawlers without false confidence.
AI & TechnologyDeep research agents need evidence graphs to track missing pieces, reduce duplicate searches, and produce source-traced answers reviewers can inspect.
AI & TechnologyAI agent ownership links every autonomous action to the account, session, scope, and operator who can stop it, review it, and accept responsibility.
AI & TechnologyShuriken's Agent Kit shows why AI agent tools that can act need scoped keys, server-side limits, activity logs, revocation, and conservative defaults.
AI & TechnologyExploration checkpoints let AI agents prove what they discovered before acting, reducing premature exploitation, brittle plans, and generic world models.
AI & TechnologyAI agent monitoring should catch decisive errors during a run, not after failure. Runtime intervention turns traces, policies, and alerts into safe pauses.
AI & TechnologyTechnical writing at Introl
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