PAuth - Precise Task-Scoped Authorization For Agents
PAuth - Precise Task-Scoped Authorization For Agents explores PAuth introduces a precise task-scoped authorization model for AI agents to enhance security and reduce overprivilege.. Commercial viability score: 6/10 in Authorization Models.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisAgentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingViability: 3.0
- Builds On ThisThe Auton Agentic AI FrameworkViability: 2.0
- Builds On ThisSecurity Considerations for Artificial Intelligence AgentsViability: 4.0
- Builds On ThisAct While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool ExecutionViability: 5.0
- Builds On ThisLDP: An Identity-Aware Protocol for Multi-Agent LLM SystemsViability: 3.0