Software-based AI safety mechanisms share a critical weakness: they can be bypassed by compromised software. This document presents a hardware-based approach to AI agent safety enforcement that operates entirely outside software control. The system comprises five integrated hardware subsystems: a behavioral bounds checker validating agent actions within a single clock cycle; a resource consumption monitor enforcing hard limits via dedicated counters; a communication filter using hardware DFA pattern matching; a hardware kill switch guaranteeing sub-microsecond termination; and a cryptographic deadman's switch requiring periodic liveness proofs. Key specifications: action validation in under 5 nanoseconds at 200 MHz; support for 16,384 concurrent agents; 10,000 simultaneous prohibited patterns; kill execution in under 1 microsecond; timeout intervals from 100ms to 60 seconds. The hardware implementation guarantees safety enforcement cannot be disabled, delayed, or circumvented by any software running on the AI agent or host system. This addresses the fundamental requirement that AI safety must be enforced by mechanisms outside the AI's control.
Building similarity graph...
Analyzing shared references across papers
Loading...
Matias Chenu Melchior
Al Ain University
Building similarity graph...
Analyzing shared references across papers
Loading...
Matias Chenu Melchior (Sun,) studied this question.
www.synapsesocial.com/papers/69810013c1c9540dea81315c — DOI: https://doi.org/10.5281/zenodo.18448824