Emerging crimes and threat landscape in cyber domain and the need for international cooperation

By Kiran Sivakumar on 06 Aug 2023 @ C0c0n
πŸ“Ή Video πŸ”— Link
#threat-landscape #threat-modeling #risk-management
Focus Areas: βš–οΈ Governance, Risk & Compliance , πŸ—οΈ Security Architecture , πŸ•΅οΈ Threat Intelligence

Presentation Material

AI Generated Summary

Here is a summarized version of the speaker’s presentation:

The speaker, a police officer, discussed the growing threat of cybercrimes and the importance of global cooperation in combating them. They highlighted various types of scams, including romance scams, cryptojacking, and advanced payment scams, which often target financial institutions and individuals. The speaker emphasized that these crimes can have a significant impact on the economy and financial sector, as seen in cases like the Bangladesh Bank heist.

The speaker noted that cybercriminals collaborate and share resources, making it essential for law enforcement agencies and governments to work together to stay ahead of them. They shared a success story about the shutdown of a notorious phishing service platform, 16shop, which involved cooperation between multiple jurisdictions, including the US, Indonesia, and Japan, as well as private partners.

The speaker emphasized the importance of sharing information and best practices across borders and agencies, citing the Interpol’s I247 platform as a powerful tool for exchanging information. They concluded by stressing that cooperation is crucial in combating cybercrimes and encouraged more collaboration between governments, law enforcement agencies, and the private sector to stay ahead of these threats.

Overall, the speaker’s message was one of urgency and cooperation, highlighting the need for collective action to combat the growing threat of cybercrimes and protect the financial sector and individuals from these scams.

Disclaimer: This summary was auto-generated from the video transcript using AI and may contain inaccuracies. It is intended as a quick overview β€” always refer to the original talk for authoritative content. Learn more about our AI experiments.