CMKL University
CMKL University gave a talk on "Data-driven Cybersecurity and Intelligence Threats Assessment"

Asst. Prof. Orathai Sangpetch, Vice President of Research and Strategy at CMKL University and Dr. Akkarit Sangpetch, CMKM (Thailand) Program Director, gave a talk on the topic of "Data-driven Cybersecurity and Intelligence Threats Assessment" through Cyber Armor : Capital Market Board Awareness II held by The Securities and Exchange Commission, Thailand.

Throughout this virtual seminar, CMKL University provided the capital market board an understanding of new cyber threats among capital market, challenges in cyber risk management, data-driven security approach, and utilizing internal data to handle cyber threats. The were 300 participants from 105 sectors in the capital market joined this session including the Securities Company board, Asset Management companies, Mutual Fund Brokerage Securities companies, Digital Asset dealers, Crowdfunding portals, ICO portals as well as representatives from SET, ASCO, and AICO.

Related Articles

July 15, 2026
1 mins
Accor and CMKL University Explore the Future of AI and Cybersecurity in Hospitality

CMKL University recently welcomed senior representatives from Accor, a global hospitality group, for an introductory meeting to explore potential collaboration in artificial intelligence, cybersecurity, and the digital transformation of hospitality operations.

Read more
July 14, 2026
1 mins
Fallacy Hunter: A Browser Extension for Detecting Weak Arguments Online

Online information is full of arguments. Some are persuasive because they are well-supported. Others are persuasive because they use emotional language, misdirection, personal attacks, or flawed reasoning. Fallacy Hunter explores how AI can help users recognize weak arguments and become more critical readers.

Read more
July 9, 2026
1 mins
Unified Framework for Heterogeneous AI Accelerators: Testing Whether AI Inference Frameworks Can Cross the GPU Vendor Divide

Modern AI infrastructure is deeply shaped by the GPU ecosystem. NVIDIA and CUDA have become the dominant standard for many AI workloads, but the future of AI compute may depend on more heterogeneous systems that can work across different hardware vendors.

Read more
reading-time:1m