IntentBound: Purpose-aware authorization for autonomous AI agents

2 points

4 months ago

I built the first working implementation of Intent-Bound Authorization (IBA) - runtime enforcement that validates every AI agent action against declared human intent.

The problem: Traditional auth (OAuth, RBAC) asks "who can do what" but never asks "why are you doing this?" When AI agents can plan and pivot autonomously, this becomes a $3.8B problem (2024 breach total).

IBA relocates the trust boundary from access grant to execution - agents are trusted only while they can justify actions against explicit intent.

Live demo: https://www.grokipaedia.com/Demo.html (Watch it block a HIPAA violation in 3.7ms)

Working code: https://github.com/Grokipaedia/Intent-Bound

Technical site: https://www.grokipaedia.com

Key insight: Autonomous systems should not be trusted because they have permission - only because they can continuously justify their actions against declared intent.

Would have prevented Wormhole ($600M), plus the entire class of "legitimate credentials, malicious intent" attacks.

Integrates with Anthropic MCP, Azure OpenAI, AWS Bedrock.

Happy to discuss the architecture or answer questions about implementation.

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