Artificial intelligence is transforming the cybersecurity landscape by changing how threats are detected, how security operations are managed, and how organizations respond to risk. CompTIA Security AI+ is designed for cybersecurity professionals who want to understand how AI can be applied to strengthen security operations, improve decision-making, and support modern defense strategies.

CompTIA Security AI+ is a professional-level cybersecurity certification that combines core security principles with practical AI concepts relevant to modern security environments. The course helps learners understand how AI supports threat detection, incident response, automation, governance, and secure AI adoption within an organization.

Full-Time

This certification is suitable for:

• Cybersecurity professionals.
• Security analysts.
• SOC analysts.
• IT security specialists.
• Security engineers.
• System administrators.
• Risk and compliance professionals.
• Professionals exploring the use of AI in cybersecurity.

4 Days

Course Outline – 4 Days

• Introduction to AI in cybersecurity
• Learn how artificial intelligence is being used in modern security environments, including why AI has become important for threat defense, risk reduction, and security automation.
• AI concepts and terminology
• Understand the core principles of artificial intelligence, including machine learning, generative AI, models, data inputs, outputs, and how these concepts relate to cybersecurity use cases.
• AI use cases in security operations
• Explore how AI can support security teams in detecting threats, identifying anomalies, prioritizing alerts, and improving operational efficiency across the security lifecycle.
• Threat detection and response with AI
• Discover how AI can assist in identifying malicious activity, reducing response times, and supporting analysts in incident investigation and response workflows.
• Security automation and workflow optimization
• Learn how AI can help automate repetitive security tasks, improve decision-making, and streamline processes such as monitoring, triage, and remediation.
• Risks and limitations of AI
• Examine the challenges of using AI in cybersecurity, including false positives, model errors, bias, adversarial attacks, and the limitations of relying on AI alone.
• Governance, compliance, and ethical considerations
• Understand the importance of secure and responsible AI use, including governance practices, privacy concerns, compliance issues, and ethical decision-making.
• Protecting AI systems and data
• Study how to secure AI models, data pipelines, and AI-enabled tools against misuse, tampering, and other cyber threats.
• AI strategy in cybersecurity environments
• Learn how organizations can introduce AI into security operations in a structured and secure way that supports business goals and risk management priorities.
• Future trends in AI and cybersecurity
• Review emerging developments in AI-driven security and what professionals should prepare for as AI continues to shape the future of cyber defense