AI Security's CoWorker Launches 'LLM Diagnosis Service'. Advanced Generative AI/LLM Assessment Combining Proprietary Tools and Expert Knowledge Based on Global Standards.
CoWorker Inc. has launched an 'LLM Diagnosis Service' specialized in generative AI. Based on OWASP standards, it comprehensively assesses unique risks such as prompt injections.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 00:00
- 🔍 Collected: April 6, 2026 at 15:30
- 🤖 AI Analyzed: April 21, 2026 at 01:46 (346h 16m after Collected)
CoWorker Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Kazuki Yamazato; hereinafter "our company" or "CoWorker"), which develops and provides AI security solutions, has started offering an "LLM Diagnosis Service" specialized in the use of generative AI/LLMs.
This service is a dedicated diagnostic aimed at the AI utilization integrated into the DX services provided by our company and internal AI utilization within enterprises, comprehensively evaluating risks specific to LLM-integrated applications. While conventional vulnerability assessment services have primarily targeted web applications and overall infrastructure vulnerabilities, this new service focuses on the "safe use of generative AI."
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AI Security's CoWorker Launches 'Vulnerability Assessment Service' — Hybrid assessment using in-house developed AI 'Red Agent' x experts to accelerate diagnostics and suppress the oversight of critical risks.
https://prtimes.jp/main/html/rd/p/000000018.000156001.html
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## Background of Development and Provision
Rapid Expansion of Generative AI Utilization and New Risks
With the spread of Large Language Models (LLMs) such as ChatGPT and Gemini, chatbots and AI assistants are being rapidly integrated into corporate DX services and internal operations. However, LLM-specific vulnerabilities such as prompt injection, information leakage, and abuse of outputs are also becoming apparent, and cases where detection is difficult with conventional vulnerability diagnostics are increasing.
Based on the LLM Top 10 risks defined by OWASP, our company has developed a new diagnostic service that supports the safe use of generative AI.
This service is a dedicated diagnostic aimed at the AI utilization integrated into the DX services provided by our company and internal AI utilization within enterprises, comprehensively evaluating risks specific to LLM-integrated applications. While conventional vulnerability assessment services have primarily targeted web applications and overall infrastructure vulnerabilities, this new service focuses on the "safe use of generative AI."
[Box]
AI Security's CoWorker Launches 'Vulnerability Assessment Service' — Hybrid assessment using in-house developed AI 'Red Agent' x experts to accelerate diagnostics and suppress the oversight of critical risks.
https://prtimes.jp/main/html/rd/p/000000018.000156001.html
[/Box]
## Background of Development and Provision
Rapid Expansion of Generative AI Utilization and New Risks
With the spread of Large Language Models (LLMs) such as ChatGPT and Gemini, chatbots and AI assistants are being rapidly integrated into corporate DX services and internal operations. However, LLM-specific vulnerabilities such as prompt injection, information leakage, and abuse of outputs are also becoming apparent, and cases where detection is difficult with conventional vulnerability diagnostics are increasing.
Based on the LLM Top 10 risks defined by OWASP, our company has developed a new diagnostic service that supports the safe use of generative AI.