Taiwan faces a range of threats, from cyber espionage to disinformation campaigns. This concise briefing will provide a high-level overview of the current threat landscape in Taiwan, leveraging Google Threat Intelligence (GTI) to highlight key trends and potential risks. Attendees will gain a valuable understanding of the challenges facing Taiwan and how GTI can help mitigate those risks.

Deploying next-generation firewall and intrusion detection systems in the cloud often requires complex architectures and significant management overhead. Beyond ensuring high availability, routing traffic to the firewall also demands tedious design. In this session, you will learn how to use Cloud NGFW to deploy secure, scalable, and highly available cloud-native next-generation firewall and intrusion detection systems with a simplified architecture. We will show you how to enhance application security with ease.

Understanding the threat landscape and what it means for your organization is the cornerstone of establishing a modern approach to threat detection, investigation, and response (TDIR). However, achieving this dynamic, modern approach with traditional SIEMs has proven difficult.

Learn how a modern, AI & intel-driven SOC that leverages applied threat intelligence enables organizations to keep up with the changing threat landscape and reduce risk.

This presentation will delve into the core concepts and functionalities of Google Cloud CNAPP solution (Security Command Center Enterprise), including:

1. Unified Visibility and Control
2. Threat Detection and Response
3. Security Vulnerability Management
4. Compliance Assurance

Through this presentation, you will understand how Security Command Center Enterprise can help you:

1. Reduce Security Risks: Comprehensively protect your cloud application scenarios (e.g., AI, DMZ, data warehouse), reducing security vulnerabilities and attacks.
2. Improve Security Efficiency: Automate security processes and improve the efficiency of security teams.
3. Optimize Cost-Effectiveness: Integrate multiple security functions to reduce security costs.

This presentation focuses on the security scenarios of generative AI, analyzing its unique security challenges and protections. We will delve into the application scenarios of generative AI in various fields, from content generation and code development to data analysis, analyzing potential security risks such as prompt injection and jailbreaking.

In addition, we will share practical cases, demonstrating best practices for secure generative AI applications, and explore the importance of trustworthy AI, ensuring the fairness, transparency, and reliability of AI systems.