SherLOCK Launches AI Red Teaming Tests for AI Agents
As corporate AI moves from answering questions to autonomously executing operations across internal systems, the agent itself becomes an entry point, and SherLOCK is betting companies will pay to have that attack surface tested before it is used against them.
Reporting from 1 source: ASCII.jp.
SherLOCK, Inc., based in Minato-ku, Tokyo, is launching full-scale AI red teaming tests for the AI agents companies deploy in business operations. The service runs simulated attacks from an attacker's perspective to find vulnerabilities before real ones are exploited. The company cites a rise in ransomware, unauthorized access, and information leaks against Japanese companies, and the shift from generative AI that answers to agents that execute.
CIOs already understand that their AI tools can produce bad output. SherLOCK's new test targets a different failure mode: agents that can also produce bad actions. The risks are that agents read email, web pages, and external documents, so those channels become attack routes; that they hold access privileges to business systems, so a steered agent can exfiltrate or alter data within them; and that they work across multiple tools, so a single compromise can spread. SherLOCK automates the test rather than running one-off expert assessments, and says it verifies both AI model behavior and integration with external systems and actual business operations.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.