Cybersecurity Strategies for AI-Driven Organizations

Intermediate Level
4 hours to complete
Flexible Schedule

Ashraf S. A. AlMadhoun

What You’ll Learn

Identify the unique cybersecurity challenges of AI systems.

Implement effective cybersecurity strategies for AI-driven organizations.

Conduct risk assessments and threat modeling for AI security.

Apply real-world cybersecurity solutions to protect AI infrastructures.

Skills You’ll Gain

Penetration Testing Cyber Risk Cyber Security Strategy Data Loss Prevention Incident Response Threat Modeling IT Security Architecture Vulnerability Assessments Cybersecurity Exploitation techniques Responsible AI Data Security Cyber Security Assessment Data Ethics

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

There are 1 modules in this course

In this course, you’ll explore the security risks unique to AI environments, including adversarial attacks, data breaches, and model manipulation. Through hands-on experience with tools like MITRE ATLAS, IBM ART, TensorFlow Privacy, and Wireshark, you’ll learn to assess vulnerabilities, implement safeguards, and manage ongoing threats. You’ll also evaluate the ethical and strategic implications of AI security, developing frameworks for resilient and responsible AI system deployment.