YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

Decawork gives IT control over agents

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

Decawork gives IT control over agents
OPEN LINK ↗
// 46d agoPRODUCT LAUNCH

Decawork gives IT control over agents

Decawork is an agent control plane for deploying, governing, and maintaining internal AI agents built with tools such as Claude Code, Codex, and LangGraph. It gives IT teams centralized identities, scoped credentials, approval gates, and audit trails.

// ANALYSIS

Decawork targets the governance gap that could make agent sprawl an enterprise security nightmare.

  • –Tool-agnostic management lets teams keep building agents wherever they prefer while IT controls production access.
  • –Per-agent identities, short-lived credentials, and approval workflows turn vague AI safety policies into enforceable controls.
  • –Complete action attribution is essential for investigating prompt injection, credential misuse, and accidental destructive actions.
  • –Its differentiation is post-build governance, not another agent builder or orchestration framework.
  • –The pitch is compelling, but Decawork must prove its integrations and runtime enforcement hold up beyond demos.
// TAGS
decaworkagentsecurityguardrailstool-usecloud

DISCOVERED

46d ago

2026-08-25

PUBLISHED

47d ago

2026-08-24

RELEVANCE

8/ 10

AUTHOR

[REDACTED]