인공지능(AI)은 혁신적인 가능성을 제공하지만 새로운 보안 문제의 원인이 되기도 합니다. 이 과정에서는 보안 및 데이터 보호 리더가 조직 내에서 AI를 안전하게 관리하는 데 필요한 전략을 살펴봅니다. AI 관련 위험을 사전에 식별 및 완화하고, 민감한 정보를 보호하며, 규정을 준수하고, 복원력 높은 AI 인프라를 빌드하는 프레임워크를 학습합니다. 이러한 전략이 실제 시나리오에서 어떻게 적용되는지 살펴보기 위해 4가지 산업별 사례를 선별했습니다.
AI 보안 소개
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Beginner level
No prior experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
AI, 머신러닝, 생성형 AI의 핵심 개념을 이해하고 모델이 API와 애플리케이션에 통합되는 방식을 학습합니다.
AI로 인해 발생하고 AI 사용 시 발생하는 잠재적 보안 위협의 상황을 이해합니다.
위협 공격을 예방하기 위해 생태계를 구성하는 방법을 대략적으로 이해합니다.
Google의 안전한 AI 프레임워크(SAIF)를 바탕으로 종합적인 AI 보안 전략을 개발 및 구현합니다.
Skills you'll gain
- Machine Learning
- Enterprise Security
- Security Requirements Analysis
- Threat Management
- Threat Modeling
- Security Strategy
- AI Security
- Information Systems Security
- Security Management
- Artificial Intelligence
- Information Assurance
- Responsible AI
- Infrastructure Security
- Personally Identifiable Information
- Data Security
- Cyber Security Strategy
- Security Controls
Tools you'll learn
Details to know
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Assessments
2 assignments
Taught in Korean
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There are 3 modules in this course
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