Certified Security Professional for Artificial Intelligence Program (CSPAI)
Security & Artificial Intelligence
Course Description
CSPAI: The solution to secure Al innovation
The Certified Security Professional for Artificial Intelligence (CSPAI) program is the answer to empowering security professionals with the knowledge they need. CSPAI is tailored to educate on the integration of Al and ML in organizations, highlighting potential vulnerabilities and providing strategies to mitigate risks. With CSPAI, organizations can foster innovation while maintaining robust security frameworks, ensuring that Al is implemented securely and compliantly, without compromising on safety or regulatory standards.
Comprehensive Al Security Program
- A comprehensive, structured program that combines both theoretical knowledge and practical skills specific to cybersecurity in Al contexts.
Actionable Insights on Emerging Threats
- A program designed to address the latest threats and regulations, providing participants with up-to-date, actionable insights.
Global Security Framework Alignment
- Emphasizes adherence to global security frameworks like ISO and NIST, ensuring your Al applications meet international security standards.
Advanced Risk Management Skills
- Develop advanced risk management capabilities to identify and mitigate Al-related vulnerabilities effectively.
Combat Sophisticated Al Threats
- Gain insights into defending against sophisticated cyber threats specifically targeting Al models.
Up-to-date Global Al Compliance
- The certification ensures adherence to the latest Al regulations and global compliance laws, maintaining the integrity and security of your Al applications.
Continuous Learning & Certification Maintenance
- Our curriculum is regularly updated to reflect the latest Al advancements and threats, with a three-year recertification ensuring professionals stay current with new developments and best practices.
Hands-On Learning Experience
- The workshop features practical exercises and case studies, allowing participants to apply concepts in real-world scenarios, enhancing both understanding and retention.
Duration: 3 DAYS
Delivery Method: Classroom-based, Virtual Instructor Led Training
Description
Course Outline
CURRICULUM OF CSPAI
Topic 1: Evolution of Al
- 1.1 Evolution of Al
- 1.2 Concepts of Al
- 1.4 List of all GenAl
- 1.3 What is Generative Al
Topic 2: Concepts Behind Developing GenAl
- 2.1 Concepts behind developing a GenAl LLM model (covering the entire transformer model)
- 2.2 Various deployments of
Topic 3: Concepts Behind Training of LLM Models
- 3.1 Training of LLM models
- 3.2 Fine-tuning of LLM models
- 3.4 Measures to be taken for developing Responsible Al
- 3.3 Basic concepts behind every Al standard and Regulation - Responsible Al
Topic 4: LLM Usage Within the Application
- 4.1 In-detail review and scenarios on how LLM's are incorporated into applications
- 4.2 In-detail review on how ML's are incorporated into applications
Topic 5: Future of Al/ML
- 5.1 Expected evolution of Al / ML
- 5.2 New upcoming concepts in Al / ML
- 5.3 Anticipated changes to business and applications
Topic 6: LLM Vulnerabilities and Exploits
- 6.1 Detailed in-depth review of various LLM vulnerabilities and exploits
- 6.2 OWASP Top 10 LLM vulnerabilities
- 6.3 Mitre ATLAS
Topic 7: Usage of GenAl in BAU Security Functions/Teams
- 7.1 Various scenarios on how GenAl can be used in the day-to-day functions of various security teams
- 7.2 How to use Al to fight intruders using Al
Topic 8: AI Risk Assessment, Al Regulations, and Overview of ISO Standards Covering Cybersecurity for Al
- 8.1 Detailed overview on how to do Al risk assessment covering multiple standards and regulations
- 8.2 In-depth dive into various Al regulations, especially EU AI Act
- 8.3 Overview on the various ISO standards covering cybersecurity for Al, and how to go about implementing the same
