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Aegize (trying to mitigate the risk of AI)

Aegize (trying to mitigate the risk of AI)

by ggaswint·Jul 1, 2026·1 point·0 comments
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AI Analysis

●●SolidBold BetShip ItBig Brain

AI agent security layer, but the playground is simulation-only, not real execution.

Strengths
  • •Six-layer runtime (identity, policy, permissions, approval, execution, audit) is thoughtfully structured.
  • •Append-only audit log provides tamper-resistant action tracking.
  • •Open-source MIT license with working playground demo.
Weaknesses
  • •Playground explicitly states no real commands execute—demo only, not production.
  • •AI agent security is emerging but crowded; several frameworks already handle tool permissions.
Category
Security
Target Audience

Developers building AI agents with tool access

Similar To

LangChain tool permissions · Cognition AI agent controls · Model Context Protocol security

Post Description

Hi! I, among many, have been quite stressed out about all the uncertainty in the future of AI. Though i generally think our world will become a better place, the fact that there is a non-zero chance of an AI apocalypse, has made me uneasy.

That's why i started this open-source project called Aegize. Right now, the focus has been to build a security layer at the tool level. Adopting layers of control through identity, policy, permissions, and more. My goal is to provide a security layer between AI and any infrastructure that it may have access to.I want this to empower the community to take control of AI security, and I will push hard to get adopters from big Tech.

I am posting here to share with the community and get feedback. Do you think this is the right approach? Do you have any other ideas for a centralized AI security system?

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