• Classroom
  • Online, Instructor-Led
Course Description

The Certified AI Security Control Assessor (CASCA™) certification is designed to certify professionals in assessing, auditing, and improving the security controls of AI systems. This certification aims to address the unique security challenges posed by AI technologies and ensure these systems are robust against threats.

Learning Objectives

  • Understand the fundamentals of artificial intelligence (AI) and its applications in various domains.
  • Identify the potential security risks associated with AI systems.
  • Learn about different types of AI security controls and their implementation.
  • Gain proficiency in assessing the security posture of AI systems.
  • Develop skills in conducting risk assessments and security audits specific to AI technologies.
  • Explore strategies for mitigating AI-related security threats.
  • Understand regulatory frameworks and compliance requirements relevant to AI security.
  • Learn best practices for securing AI models, data, and algorithms.
  • Enhance communication skills for effectively conveying AI security risks and recommendations to stakeholders.
  • Prepare for certification as an AI Security Control Assessor (CASCA™) through hands-on exercises and assessments.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Cyber Defense Infrastructure Support
  • Systems Architecture
  • Systems Analysis
  • Test and Evaluation
  • Threat Analysis