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Certified Artificial Intelligence Security Professional

The Certified Artificial Intelligence Security Professional course focuses on understanding the governance and management environment of artificial intelligence security, learning the terminology and security objectives of AI security

Amount:

$0 $0

时长

1年

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PROGRAM & INITIATIVES

Certified Artificial Intelligence

Security Professional

Certified Artificial Intelligence Security Professional

• Course start date: May 1.20, 2023

• Duration: 6 months

The course focuses on understanding the governance and management environment of artificial intelligence security, learning the terminology and security goals of AI security, and studying algorithms, models, data security, and privacy to comprehensively enhance practical abilities in identifying, evaluating, and assessing AI security risks; The course also covers the domestic and foreign legal and regulatory frameworks for AI security,

理解人工智能安全的治理与管理环境

学习AI安全的术语与安全目标

AI安全的国内与国外的法律法规框架

PROGRAM & INITIATIVES

Learning Objectives

Certified Artificial Intelligence Security Professional

Key point 1.

Comprehensively covering the field of AI security, from basic knowledge to advanced skills;

Key point 2.

Combining technology, law, ethics, and management to enhance the comprehensive governance capability of AI security;

Key point 3.

Enhance the ability to solve practical AI security problems through practical cases and guidance;

Key point 4.

Combining global AI security standards and regulations, cultivating an international perspective, and ensuring corporate compliance.

PROGRAM & INITIATIVES

Learning Subject

Certified Artificial Intelligence Security Professional

AI industry related personnel

AI engineers and developers, AI security engineers, and end-users of AI applications

Safety related personnel

Security researcher, compliance and risk management technology worker, network security practitioner

Others

Policy makers and regulatory personnel, digital transformation workers, science and engineering teachers and students

PROGRAM & INITIATIVES

Curriculum

Certified Artificial Intelligence Security Professional

Module 1- AI Security Overview

• Basic Concepts of AI and AI Security • AI and Security Derivatives • Technological development trajectory

Module 2- Technical Fundamentals

• Introduction to Common AI Algorithms and Models • Analysis of AI Model and Algorithm Security • Data privacy protection and security measures

Module 3- Security Risks

• Overview of Security Risks in Large Models • Typical Attacks and Response Strategies: Prompt Attack, Adversarial Attack, Gradient Leakage Attack, Inference Attack, Model Extraction Attack, Supply Chain Attack, Response Strategies • Analysis of Defense Mechanisms

Module 4- Policy and Governance

• Analysis of AI Security Laws, Regulations, Standards and Specifications at Home and Abroad • AI Security Governance Framework

Module 5- Full Lifecycle Management

• DevSecOps and AI • AI Security Requirements Analysis and Design • Guidelines and Practices for Safe AI System Development • Application of AI Security Evaluation Framework • AI penetration testing technology and methods • Construction of AI Security Operation Guarantee System

Module 6- Standards and Evaluation

• AI Security Framework • Application and Evaluation of AI Maturity Model • Practice of AI Security Standards and Evaluation Certification

Module 7- Special Chapter ChatGPT's Security Impact

• Malicious actors utilizing LLM for security analysis • How Defenders Apply LLM to Network Security • Preventive measures against malicious prompt word attacks • Best Practices for Enterprise Secure Use of ChatGPT

Module 8- Practical Case Study

• In depth analysis of AI security issues in the real world • Solution development and response strategies • Best practice cases of AI security in key areas • Industry Model Application and Security Practice Cases

Module 9- Ethics and Future Development

• AI Ethical and Moral Challenges and Analysis • Ethical and moral risks of AI in typical scenarios • Future Development Trends

PROGRAM & INITIATIVES

Developing Core Competencies

Certified Artificial Intelligence Security Professional

Large model security risk management

Master the identification, response strategies, and management of security vulnerabilities in large-scale AI models.

Proficient in AI algorithms and model security

Deeply understand commonly used AI algorithms and models and their security, strengthen skills in preventing leaked.

AI Security Regulations and Security Governance

Fully grasp the policies, regulations, standards, and norms related to AI security at home and abroad, as well as the AI security.

ChatGPT Security Best Practices:

Master the security usage strategy of ChatGPT, utilize ChatGPT safely and efficiently in the enterprise, develop and implement security operation standards, and ensure .

Core knowledge and skill building

To cultivate students' solid foundation in the field of AI security, ensuring that they can effectively respond to modern digital security challenges. Master the ability to.

Policies, regulations, and ethics

Familiar with relevant policies and regulations, identify ethical risks, and apply effective governance mechanisms. Enhance understanding of domestic .

PROGRAM & INITIATIVES

Personal Value

Mark Your Calendar, the Excitement Begins Soon

01.

Professional competence enhancement

Students will gain a profound knowledge foundation in the field of AI security, effectively enhancing their.

02.

Combining technology with practical experience

Through practical cases and guidance, enhance the ability to solve practical problems, transform theoretical .

03.

Expanding International Perspective

By studying global AI safety standards and regulations, we aim to help individuals develop an international perspective .

04.

Proficient in laws and

regulations

Familiarize oneself with domestic and foreign policies and regulations, enhance ethical and moral awareness, establish the .

05.

Accelerated career

development

Obtaining CAISP certification proves one's professional status in the field of AI security, which is beneficial for .

06.

Cultivation of Safety

Thinking

The full cycle security management capability from design to operation enables individuals to play a critical role in any.

PROGRAM & INITIATIVES

Value To The Organization

Mark Your Calendar, the Excitement Begins Soon

Strengthening risk prevention and control:

Enterprise employees master the risk

• management of large-scale model security, effectively identify and respond to various security vulnerabilities and attacks, reduce the occurrence of security incidents.

Compliance assurance

Employees are familiar with domestic and international

• AI security policies and ethical standards, helping companies establish compliant security management systems, avoid legal risks, and enhance corporate image and social responsibility.

Cost efficiency optimization

By integrating DevSecOps, the security and efficiency

• of AI development processes can be improved, reducing repair costs and time delays caused by security issues.

Improvement of innovation capability

Under the guidance of big language model security practices

• ChatGPT security best practices, enterprises can safely and efficiently utilize the latest technologies to drive product and service innovation.

Secure construction:

Cultivate employees' awareness of AI safety management

• throughout the entire lifecycle, form a safety oriented corporate culture, and lay a solid foundation for the sustainable development of the enterprise.

Enhanced competitiveness

With a team of experts certified by CAISP, enterprises

• can demonstrate higher security standards and professional strength in fierce market competition, attracting more partners and customers' trust.

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Certified Artificial Intelligence Security Professional