Cybersecurity challenges are becoming increasingly diverse as cloud computing and AI technologies advance rapidly. This session takes a thorough look at the critical risks faced by AI applications, including data breaches, AI hallucinations caused by incorrect RAG data, and cyberattacks in which users trick AI into generating sensitive content. Also discussed in this session are: how to protect AI infrastructures, as well as how to achieve higher levels of security in cloud environments, offering comprehensive and practical solutions for securing AI.
1. Taking a close look at the security implications of AI technologies and their potential impact
2. Learning how to ensure that AI learn from the correct data
3. Preventing data breaches and misuse of sensitive information
4. Raising the awareness of vulnerabilities in AI system implementations to minimize threats
1. Overview of the risks of AI applications
2. Seurity issues in building RAG
3. How to prevent AI from being abused by would-be hackers
4. How to deal with AI- and cloud-related risks
建議為單位資安管理/承辦人員,或具有 IT 維運實務經驗
TOPIC / TRACK
CyberLAB
LOCATION
Taipei Nangang Exhibition Center, Hall 2
4F 4D
LANGUAGE
Chinese
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