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Embedded Off-Switches for AI Compute

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arxiv 2509.07637 v1 pith:J7CX6QPA submitted 2025-09-09 cs.CR

Embedded Off-Switches for AI Compute

classification cs.CR
keywords securityblocksattacksblockembeddedpreventacceleratoraccelerators
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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To address the risks of increasingly capable AI systems, we introduce a hardware-level off-switch that embeds thousands of independent "security blocks" in each AI accelerator. This massively redundant architecture is designed to prevent unauthorized chip use, even against sophisticated physical attacks. Our main security block design uses public key cryptography to check the authenticity of authorization licenses, and randomly generated nonces to prevent replay attacks. We evaluate attack vectors and present additional security block variants that could be added for greater robustness. Security blocks can be built with standard circuit components, ensuring compatibility with existing semiconductor manufacturing processes. With embedded security blocks, the next generation of AI accelerators could be more robustly defended against dangerous misuse.

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Cited by 2 Pith papers

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    Proposes a feasibility taxonomy of 20 hardware-level AI compute governance mechanisms organized by monitoring, verification, and enforcement, with mappings to regulatory scenarios that highlight immaturity of treaty-v...