---
title: SherLOCK launches automated AI red teaming for agents amid rising cyber threats
url: https://www.elseif.net/sherlock-launches-automated-ai-red-teaming-for-agents-amid-rising-cyber-threats
published: 2026-10-14T15:04:43+00:00
language: en
section: Harnesses
source: https://ascii.jp/elem/000/004/441/4441817/?rss
organizations: SherLOCK
publisher: elseif
---

# SherLOCK launches automated AI red teaming for agents amid rising cyber threats

SherLOCK has officially begun providing comprehensive AI red teaming tests designed specifically for artificial intelligence agents. This service aims to help organizations secure their autonomous AI systems against a growing landscape of cyber attacks. The company states that this move is a direct response to the increasing frequency of security incidents targeting domestic enterprises. These incidents include ransomware, unauthorized access, and data leaks, which have caused serious disruptions to business operations. The security environment is becoming more complex as AI technology potentially accelerates attack preparation and data analysis. Consequently, companies face heightened risks as they integrate these advanced tools into their workflows. The shift from passive generative AI to active agents creates new vulnerabilities that require specialized testing. Traditional models primarily generated text or searched for information. In contrast, modern agents connect with external services and internal business systems to execute tasks autonomously. This capability allows agents to retrieve information from emails and documents. They can also access internal systems via APIs to update data or manipulate files. Attackers view this expanded functionality as a new entry point into corporate networks. The risk evolves from inappropriate output in traditional models to unauthorized execution in agents. This shift is driven by three main factors. First, the attack surface expands significantly.

Agents read information from emails, web pages, and external documents. Malicious instructions hidden within this content can guide the agent's behavior. Second, agents operate with specific access privileges. If an attacker successfully manipulates the agent, they can exploit these privileges to steal confidential information or alter data. Third, damage can cascade across systems. Agents autonomously navigate multiple tools and systems. A single compromise can spread to connected services, amplifying the overall impact. The new test service simulates attacks from an adversary's perspective. It identifies potential vulnerabilities and evaluates the effectiveness of existing security measures. Unlike manual assessments performed by experts, this service automates the entire process. It generates attack scenarios, executes simulated attacks, and evaluates the results using software. This automation allows companies to repeat tests consistently. They can verify security after every modification to the agent or addition of new integrations. The test covers the entire lifecycle of an agent's operation. It examines how agents retrieve external information and interact with various tools. It also assesses the execution of tasks within business systems. This approach allows companies to see exactly what happens when an agent is attacked. The primary areas of verification include several key risks. One area is unauthorized instruction and behavior manipulation. This includes prompt injection attacks that cause the agent to perform unintended actions.

Another area is the leakage of confidential information and unauthorized data manipulation. This covers risks where agents send sensitive data externally or inappropriately modify business records. A third area involves vulnerabilities in external tool and system integration. This includes security risks arising from APIs, external services, and authentication functions. The final area addresses damage expansion through complex attacks. This examines how autonomous decisions and executions can be exploited to spread harm across multiple systems. Based on the test results, the service helps companies visualize priority risks. It supports the development of countermeasures for safe agent deployment and operation. SherLOCK has previously provided AI red teaming tests to enterprises. The company has also delivered AI security and governance solutions to the financial, manufacturing, and healthcare sectors. The firm plans to strengthen the provision of this new test as agent adoption grows. It aims to help companies address both AI-specific risks and traditional cybersecurity threats. The company was founded in January 2024. It provides an integrated solution called SherLOCK AI Gateway. This gateway combines red teaming, real-time guardrails, and governance infrastructure. The company also participates in government AI safety projects through joint research with academia.