Runtime intent-based authorization layer for AI agents
A service that authorizes each agent tool call at runtime using the mission and intent as context, replacing coarse-grained standing credentials like API keys and coarse OAuth scopes. The agent holds no broad access; each action is evaluated within the context of what the user or business is trying to accomplish, drawing on practices banks already use for authorizing transactions.
online B2B Deep Tech / Infrastructure
From AI Engineer — An AI Agent Got Its User Banned From Resy — Keycard, JPMorgan Chase & AAuth at 00:56
Problem: Current systems were designed for humans making deterministic decisions; coarse scopes (e.g. an API-wide Salesforce scope) let a reasoning agent retry repeatedly and do damage it was never supposed to be able to do.
For: Enterprises deploying AI agents, especially regulated industries like financial services that put security first.
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Examples
- Salesforce's single coarse 'API' OAuth scope as the counter-example that motivates finer-grained agent authorization.
Other takes on AI security infrastructure
- Agentic consent governance layer for autonomous AI systems
- Enterprise agentic last-mile identity and access control layer
- Identity-based security infrastructure for multi-agent AI systems
- AI-agent security and control infrastructure for enterprises
- A guardrail tool that enforces strict test-driven development and other engineering rules for AI coding agents
- Privacy-first document preprocessing layer for AI coding agents