AI+ Security Expert™
AT-2102
Formerly known as AI+ Security Level 2™Protect and Secure: Leverage Intelligent AI Solutions
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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Who Should Enroll?
Cybersecurity Professionals: Professionals who want to stay updated on the latest AI-driven security tools, technologies, and techniques to strengthen cybersecurity practices.
IT Professionals and System Administrators: Those who want to use AI capabilities to detect, analyze, and respond to security threats more effectively and efficiently.
Cloud Architects and Engineers: Professionals who want to integrate AI-powered security solutions into cloud architectures and enhance the protection of cloud environments.
Risk Management Specialists: Those who want to apply AI-driven approaches to identify, assess, and mitigate cybersecurity risks.
Business Leaders and Decision Makers: Professionals who want to understand the role of AI in cybersecurity and make informed decisions about security investments and strategies.
Software Developers: Developers who want to understand AI integration in security tools, applications, and secure software development practices.
Security Consultants and Advisors: Professionals who want to gain advanced knowledge of AI technologies to provide strategic cybersecurity guidance and recommendations.
Job Roles & Industry Outlook
AI Security Analyst
Uses AI techniques for threat detection, security analysis, and risk identification.
Cybersecurity Engineer
Implements AI-powered security solutions and defense strategies.
SOC Analyst
Uses AI tools for monitoring, investigation, and incident response.
Cloud Security Engineer
Applies AI security solutions to protect cloud environments.
Penetration Tester
Uses AI-driven techniques to identify vulnerabilities.
Security Consultant
Advises organizations on AI-based cybersecurity strategies.
Skills You'll Gain
- AI-driven threat detection and cybersecurity analysis
- Machine learning applications in security operations
- Python-based security automation and tool development
- AI-powered malware and email threat detection
- Network anomaly detection and risk analysis
- AI-based authentication and security solutions
- Penetration testing using AI techniques
- Responsible AI, security governance, and compliance practices
- Designing AI-powered cybersecurity solutions through practical projects
What You'll Learn
- 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.
Tools You'll Explore
CrowdStrike Falcon
Darktrace Enterprise
Vectra Cognito
SentinelOne Singularity
Cylance PROTECT
IBM QRadar Advisor with Watson
Exabeam Advanced Analytics
Rapid7 InsightIDR
Cynet 360
Fortinet FortiAI
Prerequisites
- Interest in AI Technologies: Interest in learning about AI technologies such as ML, DL, and NLP.
- Tech Comfort: Basic knowledge about the fundamentals of computer science.
- Learning Mindset: Curiosity and openness to learn about new concepts and technologies.
- Ethical Awareness: Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
Exam Blueprint:
- Introduction to Artificial Intelligence (AI) and Cyber Security - 8%
- Python Programming for AI and Cybersecurity Professionals - 10%
- Application of Machine Learning in Cybersecurity - 10%
- Detection of Email Threats with Artificial Intelligence (AI) - 11%
- Artificial Intelligence (AI) Algorithm for Malware Threat Detection - 11%
- Network Anomaly Detection using Artificial Intelligence (AI) Techniques - 11%
- User Authentication Security with Artificial Intelligence (AI) - 11%
- Generative Adversarial Network (GAN) for Cyber Security - 11%
- Penetration Testing with Artificial Intelligence - 11%
- Capstone Project - 6%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
Discover Your Ideal Role-Based Certifications and Programs!
Not sure which certifications to go for? Take our quick assessment to discover the perfect role-based certifications and programs tailored just for you.
Get CertifiedFrequently Asked Questions
The curriculum covers AI fundamentals, Python programming, machine learning, malware detection, network security, and AI-based threat analysis.
Learners explore tools such as CrowdStrike Falcon, Darktrace Enterprise, SentinelOne Singularity, IBM QRadar Advisor with Watson, and Fortinet FortiAI.
Learners receive an industry-recognized credential along with hands-on experience through projects and case studies.
Learners should have basic computer science knowledge, interest in AI technologies, and awareness of AI ethics and data privacy.
The certification is suitable for learners interested in AI technologies, cybersecurity, threat detection, and security automation.
