What is the name of the new service launched by CoWorker Inc. for evaluating risks in generative AI and LLM applications?

The new service launched by CoWorker Inc. is called the LLM Diagnosis Service, which evaluates risks in generative AI and LLM-integrated applications using proprietary tools and expert analysis.

Which global security standard does CoWorker use as the foundation for its LLM Diagnosis Service?

CoWorker bases its LLM Diagnosis Service on the LLM Top 10 risks defined by the Open Worldwide Application Security Project (OWASP), a globally recognized security standard.

What are some LLM-specific vulnerabilities that CoWorker's new service aims to detect and mitigate?

CoWorker's LLM Diagnosis Service targets LLM-specific vulnerabilities such as prompt injection, information leakage, and misuse of AI-generated output in corporate systems and applications.

What is the name of CoWorker's proprietary AI tool used in combination with expert analysis for vulnerability diagnosis?

CoWorker's proprietary AI tool used in the hybrid diagnosis process is called Red Agent, which works alongside human experts to accelerate risk detection.

Who is the representative director of CoWorker Inc. and where is the company headquartered?

The representative director of CoWorker Inc. is Kazuki Yamasato, and the company is headquartered in Shinjuku-ku, Tokyo, Japan.

AI News NQ Analysis

CoWorker, an AI Security Company, Launches "LLM Diagnosis Service": Advanced Generative AI/LLM Diagnosis Combining Proprietary Tools and Expert Knowledge Based on Global Standards

NQ Score 50/100

AI Summary (NQ-processed)

CoWorker Inc., an AI security solutions provider, has launched the "LLM Diagnosis Service" to address the unique risks of generative AI and LLMs, such as prompt injection and data leakage, which are not adequately covered by traditional vulnerability assessments. This service combines their proprietary AI "Red Agent" with expert human review to provide fast, accurate, and cost-effective security evaluations for LLM-integrated applications, aiming to help companies safely adopt generative AI and strengthen the societal safety foundation.

AI analysis data is not yet available.

Frequently Asked Questions

Q: What is the name of the new service launched by CoWorker Inc. for evaluating risks in generative AI and LLM applications?: A: The new service launched by CoWorker Inc. is called the LLM Diagnosis Service, which evaluates risks in generative AI and LLM-integrated applications using proprietary tools and expert analysis.
Q: Which global security standard does CoWorker use as the foundation for its LLM Diagnosis Service?: A: CoWorker bases its LLM Diagnosis Service on the LLM Top 10 risks defined by the Open Worldwide Application Security Project (OWASP), a globally recognized security standard.
Q: What are some LLM-specific vulnerabilities that CoWorker's new service aims to detect and mitigate?: A: CoWorker's LLM Diagnosis Service targets LLM-specific vulnerabilities such as prompt injection, information leakage, and misuse of AI-generated output in corporate systems and applications.
Q: What is the name of CoWorker's proprietary AI tool used in combination with expert analysis for vulnerability diagnosis?: A: CoWorker's proprietary AI tool used in the hybrid diagnosis process is called Red Agent, which works alongside human experts to accelerate risk detection.
Q: Who is the representative director of CoWorker Inc. and where is the company headquartered?: A: The representative director of CoWorker Inc. is Kazuki Yamasato, and the company is headquartered in Shinjuku-ku, Tokyo, Japan.