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AI Summary: Introduces a security framework using cryptography to mathematically verify that an autonomous system executed a task according to rules without exposing sensitive data.

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Zero Knowledge Proofs for Trustless Agentic Execution

Alessandro V. Rossi·
Elena M. K.·
Yong Lin

ABSTRACT

The delegation of high stakes financial tasks to autonomous systems requires robust mechanisms for verifying behavior without exposing sensitive underlying data. This paper proposes a novel framework utilizing zero knowledge proofs to validate execution paths. By cryptographically proving that a system adhered to its strict operational mandate without revealing the proprietary datasets processed the authors establish a trustless protocol for commercial deployment. This solves a massive hurdle in regulatory compliance.

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