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AI+ Security Expert™
This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.
Certificate Code
AT-2102
Exam Format
AI-Driven Remote Exam Proctoring
Course Overview
Important details and certification information
Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Interest in AI technologies, basic computer science knowledge, curiosity to learn, and awareness of AI ethics and data privacy.
50 questions, 70% passing, 90 minutes, online proctored exam
Certification Modules
- You will learn AI and cybersecurity fundamentals, AI-driven threat detection, vulnerability management, ethical considerations, regulatory requirements, and resilient security strategies.
- You will learn Python programming for security automation, data analysis, AI scripting, visualization, and developing cybersecurity tools.
- You will explore ML-based anomaly detection, behavior analysis, predictive threat identification, data protection, and advanced cybersecurity applications.
- You will learn AI-powered email security, phishing detection, deep learning models, automation techniques, and email threat response solutions.
- You will learn AI-based malware detection, neural networks, model development, real-time mitigation, and malware analysis techniques.
- You will explore AI-based network anomaly detection, model implementation, deployment strategies, and challenges in handling advanced threats.
- You will learn AI-driven authentication, biometric recognition, behavioral analysis, adaptive security controls, and emerging authentication trends.
- You will explore GAN applications in cybersecurity, including threat simulation, synthetic attack generation, vulnerability detection, and defense improvement.
- You will learn AI-enhanced penetration testing, cyberattack simulation, automated vulnerability identification, and improved security assessment techniques.
- You will apply AI cybersecurity concepts through real-world projects involving anomaly detection, email security, IoT protection, behavioral biometrics, and threat intelligence.