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Cryptographic Audit Ledgers for Autonomous Browser Agents: Verifiable Action Logging with SHA3-256

The Problem

Autonomous browser agents?AI-driven systems that navigate web pages, fill forms, and execute user-delegated tasks?present a fundamental accountability problem: how can users verify that an agent acted correctly and did not exceed its authority? Existing approaches rely on opaque logging in unverifiable formats, making forensic analysis and dispute resolution impractical. This paper introduces the .aioss cryptographic audit ledger, a Merkle-DAG-based append-only data structure that records every action taken by an autonomous browser agent in a tamper-evident, verifiable format.

What We Built