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.
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.
DISCOVERED
46d ago
2026-08-25
PUBLISHED
47d ago
2026-08-24
RELEVANCE
AUTHOR
[REDACTED]