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Paper Abstract and Keywords
Presentation 2024-11-08 17:40
Implementation of an Enterprise AI Agent System with a Secure Sandbox for Executing LLM-Generated Code
Yasuhiko Kondo, Takashi Kato, Kosaku Kimura, Tatsuya Asai (Fujitsu) KBSE2024-30 SC2024-33
Abstract (in Japanese) (See Japanese page) 
(in English) The evolution of large language models (LLMs) has advanced beyond natural language dialogue,
leading to the development of AI agents capable of performing operations based on user requests, thereby expanding the potential for task automation in enterprises.
However, programming code generated by LLMs is unverified, and in environments handling sensitive information, countermeasures against risks such as data leaks and tampering are essential.
This report focuses on a sandbox environment designed to securely execute code generated by LLMs. From the perspectives of preventing data leaks and tampering, we examined necessary requirements
such as controlling access to resources and restricting communication with external environments. We also reported on the evaluation of an initially implemented agent system.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Models / AI Agent / Sandbox / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 245, SC2024-33, pp. 65-70, Nov. 2024.
Paper # SC2024-33 
Date of Issue 2024-11-01 (KBSE, SC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF KBSE2024-30 SC2024-33

Conference Information
Committee SC KBSE  
Conference Date 2024-11-08 - 2024-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Kochi-City Culture Plaza CUL-PORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To SC 
Conference Code 2024-11-SC-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementation of an Enterprise AI Agent System with a Secure Sandbox for Executing LLM-Generated Code 
Sub Title (in English)  
Keyword(1) Large Language Models  
Keyword(2) AI Agent  
Keyword(3) Sandbox  
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1st Author's Name Yasuhiko Kondo  
1st Author's Affiliation Fujitsu, Ltd. (Fujitsu)
2nd Author's Name Takashi Kato  
2nd Author's Affiliation Fujitsu, Ltd. (Fujitsu)
3rd Author's Name Kosaku Kimura  
3rd Author's Affiliation Fujitsu, Ltd. (Fujitsu)
4th Author's Name Tatsuya Asai  
4th Author's Affiliation Fujitsu, Ltd. (Fujitsu)
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Speaker Author-1 
Date Time 2024-11-08 17:40:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # KBSE2024-30, SC2024-33 
Volume (vol) vol.124 
Number (no) no.244(KBSE), no.245(SC) 
Page pp.65-70 
#Pages 6 
Date of Issue 2024-11-01 (KBSE, SC) 

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