CoWorker, an AI Security Company, Launches "Endpoint Compromise Diagnosis Service" to Diagnose Information Leakage and Supply Chain Attack Risks in AI Utilization Environments

CoWorker Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Kazuki Yamasato; hereinafter "the Company" or "CoWorker"), which develops and provides AI security solutions, has launched the "Endpoint Compromise Diagnosis Service" to visualize traces of compromise hidden within corporate internal endpoints.

This service is an internal security diagnostic service that visualizes not only traditional endpoint-based security risks such as malware infections, information leakage, and insider threats, but also new risks associated with AI utilization, such as supply chain attacks targeting the development and usage environments of AI tools and AI agents. It provides a comprehensive security diagnosis that includes not only checking for the presence of compromise but also analyzing attack vectors and proposing concrete countermeasures.

CoWorker, an AI Security Company, Launches "Vulnerability Diagnosis Service" — Accelerates Diagnosis and Prevents Overlooking Critical Risks with a Hybrid Diagnosis of Proprietary AI "Red Agent" x Experts

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Background of Development and Provision

In the Era of AI Agents, the Main Battlefield for Security Shifts to "Internal Environments"

In recent years, cyberattacks have rapidly become more sophisticated through the use of AI. Recent surveys show a surge in AI-powered attack activities, with attack speeds significantly accelerating, such as the average time to intrusion being shortened to less than 30 minutes.

Meanwhile, companies are also rapidly advancing their use of AI tools and AI agents like ChatGPT, Claude, and Copilot. However, the introduction of AI also creates new security risks.

In fact, the following incidents have been reported:

・ As a result of granting excessive privileges to an AI agent, the management console was hijacked, leading to damages of tens of millions of yen.

・ An AI agent deleted business data due to an erroneous judgment.

・ An employee entered internal company information into an AI tool, resulting in the leakage of confidential information to external parties.

With the expanding use of AI tools, 77% of employees are inputting corporate information into AI