Published 4/2026
Created by Sasha Bridgewater
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 25 Lectures ( 5h 29m ) | Size: 4.62 GB
SecAI+ Accelerated Course
What you’ll learn
✓ Understand the AI lifecycle and where security controls should be implemented
✓ Identify AI-specific threats and vulnerabilities
✓ Learn about AI enabled tools and attacks
✓ Explore the ethical side of AI including responsible use, human impact, and governance
✓ Harness AI to achieve business goals while maintaining security and ethics
Requirements
● Knowledge comparable to the CompTIA Security+ certification
● Basic understanding of cybersecurity fundamentals
● Familiarity with network architecture and devices
● General familiarity with IT systems, cloud environments, and enterprise infrastructure
Description
Prepare for the CompTIA SecAI+ exam, learning how to identify, assess, and defend against security risks across the AI lifecycle.
Artificial Intelligence is rapidly transforming the cybersecurity landscape. While AI enables automation and sophisticated defense capabilities, it also introduces new attack surfaces, risks, security challenges and ethical concerns. Understanding how to secure AI systems is becoming an essential skill for modern cybersecurity professionals.
This course is perfect for IT professionals, cybersecurity analysts, students, and anyone interested in understanding how to secure AI systems and defend against emerging AI-driven threats.
This course, CompTIA SecAI+, is designed to prepare learners for the rapidly evolving intersection of cybersecurity and artificial intelligence. As AI becomes deeply integrated into modern digital systems, it introduces both powerful defensive capabilities and new categories of security risks. This course focuses on building the knowledge and practical awareness needed to identify, assess, and mitigate threats across the entire AI lifecycle—from data collection and model training to deployment and ongoing monitoring.
Learners will explore how AI systems can be exploited through techniques such as data poisoning, adversarial inputs, model inversion, and prompt manipulation. At the same time, the course highlights how AI can be leveraged to strengthen cybersecurity operations through automation, anomaly detection, threat intelligence, and response optimization. A strong emphasis is placed on risk management, governance, ethical AI use, and securing machine learning pipelines in real-world environments.
This program is ideal for IT professionals, cybersecurity analysts, students, and anyone seeking to understand how AI is reshaping the threat landscape. Whether you are working toward certification or expanding your cybersecurity skill set, the content provides a structured foundation for understanding both offensive and defensive AI security concepts.
Aligned with industry standards and inspired by frameworks such as those from CompTIA, the course helps bridge the gap between traditional cybersecurity and emerging AI-driven security challenges. By the end, learners will be better equipped to protect AI-powered systems and contribute to secure, responsible AI adoption in any organization.
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