• views: 215
• date: 23 April 2026
• posted by: 0nelove

AI Security Operations
What you'll learn
✓ AI Governance, Risk, and Compliance (GRC)
✓ AI-Assisted Security
✓ Securing AI Systems
✓ AI Auditing
Requirements
● no requirements or prerequisites
Description
First, it dives deep into Securing AI Systems, where students learn to identify and mitigate unique vulnerabilities such as prompt injection, data poisoning, and model inversion. By understanding the adversarial mindset, learners gain the tactical skills necessary to harden ML pipelines and protect model integrity.
Second, the course explores AI-Assisted Security, teaching professionals how to leverage Large Language Models (LLMs) and automation to enhance threat hunting, accelerate incident response, and optimize Security Operations Center (SOC) workflows.
Finally, the curriculum provides a rigorous foundation in AI Governance, Risk, and Compliance (GRC), focusing on essential frameworks like the NIST AI Risk Management Framework and emerging global regulations.
Designed for cybersecurity analysts, architects, and engineers, the course moves beyond theoretical concepts to provide actionable, hands-on strategies. Students will explore the ethical implications of AI deployment while mastering the technical controls required to ensure privacy and transparency. Whether you are looking to pivot your career into AI security or seeking to defend your organization's burgeoning AI infrastructure, this course provides the authoritative knowledge needed to pass the SecAI+ exam and lead the next generation of digital defense.
By the conclusion of the program, participants will be equipped to design, deploy, and govern trusted AI systems in an increasingly complex threat landscape. Content created using AI tools.
Who this course is for
■ Cyber security & Networking Professionals



   
   
   

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