Summarizing AI and Data Concepts for Cybersecurity
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Explain AI Concepts for Cybersecurity
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Understand AI Model Training and Prompt Engineering
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Secure AI Data
The 4-day CompTIA® SecAI+ course focuses on the practical realities of securing AI systems in production environments across their full lifecycle. Participants… The 4-day CompTIA® SecAI+ course focuses on the practical realities of securing AI systems in production environments across their full lifecycle. Participants will master AI threat modeling, defense against adversarial machine learning and prompt-based attacks, AI-driven security operations, and enterprise AI governance, risk, and compliance.
CompTIA® SecAI+ focuses on the practical realities of securing Artificial Intelligence (AI) systems in production environments. This 4-day training covers foundational AI concepts relevant to security teams, including how machine learning workflows, training processes, data pipelines, and deployment architectures affect organizational risk and control.
The certification emphasizes securing AI systems across their full lifecycle—from protecting training data and model artifacts to securing build and deployment pipelines, maintaining model integrity, and monitoring live systems for misuse or degradation. It also addresses the practical use of AI within security operations, examining how AI-driven detection, response, and automation tools introduce new operational benefits as well as unique risks such as false positives, blind spots, and model drift.
In addition, CompTIA SecAI+ thoroughly covers AI-specific threats including adversarial machine learning, data poisoning, model manipulation, and prompt-based attacks, alongside the global governance, risk, and compliance (GRC) requirements needed to manage AI systems responsibly in enterprise environments.
Security analysts and SOC professionals
Cloud and DevSecOps professionals
Security engineers supporting AI platforms and services
Governance, risk, and compliance (GRC) professionals
SecAI+ is designed for practitioners who already understand core security practices and now need to extend those skills into AI-enabled environments.
Setelah mengikuti pelatihan ini, peserta diharapkan mampu:
Comprehensive 7-module curriculum covering AI and data security concepts, AI threat modeling, access and data controls, adversarial AI threat mitigation, AI-driven security operations, enterprise AI governance, and exam readiness.
Explain AI Concepts for Cybersecurity
Understand AI Model Training and Prompt Engineering
Secure AI Data
Use AI Threat Modeling
Implement Security Controls for AI Systems
Deploy Access Controls for AI
Apply Data Security Controls for AI Security
Perform Monitoring and Auditing for AI Systems
Demonstrate the Importance of Security in the AI Life Cycle
Analyze AI System Attacks and Utilize Compensating Controls
Use AI-Enabled Tools for Security Tasks
Summarize AI-Enabled and AI-Enhanced Attack Vectors
Use AI to Automate Security Tasks
Classify Organizational Governance Structures for AI
Define the Risks Associated with AI
Explain the Impact of Compliance on Business Use and Development of AI
Comprehensive review of CompTIA® SecAI+ domains and practice examination session.