SANDS Lab and Microsoft Korea sign agreement to develop Azure-based cybersecurity technology
Big data and big tech companies collaborate to advance AI security Supporting global market entry and launches for Korean cybersecurity technology Maximizing infrastructure use for global-level performance and competitiveness
SANDS Lab and Microsoft Korea sign agreement to develop Azure-based cybersecurity technology
- Big data and big tech companies collaborate to advance AI security
- Supporting global market entry and launches for Korean cybersecurity technology
- Maximizing infrastructure use for global-level performance and competitiveness
Photo. SANDS Lab CEO Kim Ki-hong (left) and Microsoft Korea SMC lead Lee Woong-se at the agreement ceremony at Microsoft Korea headquarters.
AI and big data security company SANDS Lab will begin developing next-generation AI-based cybersecurity technology in collaboration with Microsoft Korea.
SANDS Lab announced on the 26th that it signed an agreement with Microsoft Korea to develop next-generation AI cybersecurity technology based on Azure.
SANDS Lab operates CTX, a cyber threat intelligence service using AI and big data, and the MNX network detection and response solution. It also pursues cybersecurity R&D and technical partnerships involving generative AI and LLMs.
The partnership covers advancing Azure-based next-generation AI and cybersecurity technologies, identifying new business models, and supporting global launches and marketing.
The companies will apply next-generation AI such as ChatGPT to cybersecurity. SANDS Lab plans to enter markets quickly by efficiently using Microsoft infrastructure for the requirements of security technology R&D.
Microsoft Korea’s Lee Woong-se said, “SANDS Lab has innovative security capabilities that combine big data with AI. We will fully support the company in applying next-generation AI to gain competitiveness in Asia and the global cybersecurity market.”
CEO Kim Ki-hong said, “Microsoft is the ideal partner for commercializing next-generation AI and achieving global-level performance and scalability. We plan to create business models for efficient, proactive cybersecurity environments.”