AI+ Security Level 1™ 

AT-2101

Empowering Cybersecurity with AI

Start your AI security journey with our all-in-one bundle. Explore core concepts in AI-driven protection, vulnerability management, and intelligent threat response.

Certification Duration: 40 hours (5 Days)

Enroll Now Buy Instructor-Led Course
Download Executive Summary
Certification Badge
Enroll Now Purchase Exam

Why This Certification Matter

Comprehensive Learning

Explore AI and cybersecurity integration through Python, machine learning, and threat mitigation to build a strong technical foundation.

Hands-on Approach

Apply concepts in a Capstone Project, solving real-world cybersecurity challenges by leveraging AI tools and practical problem-solving skills.

Cutting-Edge Knowledge

Dive into advanced topics like AI-based authentication and GANs to understand next-gen cybersecurity strategies and innovations.

Boost Strategic Decision-Making with AI Analytics

Master AI models to analyze business data, predict outcomes, and enable more informed, real-time decisions that enhance competitive advantage.

AI-Driven Threat Detection

Learn to detect malware, phishing, and anomalies using machine learning, enhancing your ability to predict and prevent attacks.

Industry Relevance

Stay ahead in cybersecurity by mastering AI applications, making you a valuable asset for future-focused security roles and organizations.

Prerequisites

  • Basic Python Programming: Familiarity with loops, functions, and variables.
  • Basic Cybersecurity Knowledge: Understanding of CIA triad and common threats (e.g., malware, phishing).
  • Basic Machine Learning Concepts: Awareness of fundamental machine learning concepts, not mandatory.
  • Basic Networking: Understanding of IP addressing and TCP/IP protocols.
  • Linux/Command Line Skills: Ability to navigate and use the CLI effectively.
  • There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).

Modules

11

Examination

1

50 MCQs

90 Minutes

Passing Score

70% (35/50)

Recertification Requirements

AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.

Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai

Certification Modules

  1. 1.1 Definition and Scope of Cybersecurity
  2. 1.2 Key Cybersecurity Concepts
  3. 1.3 CIA Triad (Confidentiality, Integrity, Availability)
  4. 1.4 Cybersecurity Frameworks and Standards (NIST, ISO/IEC27001)
  5. 1.5 Cyber Security Laws and Regulations (e.g., GDPR, HIPAA)
  6. 1.6 Importance of Cybersecurity in Modern Enterprises
  7. 1.7 Careers in Cyber Security
  1. 2.1 Core OS Functions (Memory Management, Process Management)
  2. 2.2 User Accounts and Privileges
  3. 2.3 Access Control Mechanisms (ACLs, DAC, MAC)
  4. 2.4 OS Security Features and Configurations
  5. 2.5 Hardening OS Security (Patching, Disabling
    Unnecessary Services)
  6. 2.6 Virtualization and Containerization Security
    Considerations
  7. 2.7 Secure Boot and Secure Remote Access
  8. 2.8 OS Vulnerabilities and Mitigations
  1. 3.1 Network Topologies and Protocols (TCP/IP, OSI Model)
  2. 3.2 Network Devices and Their Roles (Routers, Switches,
    Firewalls)
  3. 3.3 Network Security Devices (Firewalls, IDS/IPS)
  4. 3.4 Network Segmentation and Zoning
  5. 3.5 Wireless Network Security (WPA2, Open WEP
    vulnerabilities)
  6. 3.6 VPN Technologies and Use Cases
  7. 3.7 Network Address Translation (NAT)
  8. 3.8 Basic Network Troubleshooting
  1. 4.1 Types of Threat Actors (Script Kiddies, Hacktivists, Nation-States)
  2. 4.2 Threat Hunting Methodologies using AI
  3. 4.3 AI Tools for Threat Hunting (SIEM, IDS/IPS)
  4. 4.4 Open-Source Intelligence (OSINT) Techniques
  5. 4.5 Introduction to Vulnerabilities
  6. 4.6 Software Development Life Cycle (SDLC) and Security Integration with AI
  7. 4.7 Zero-Day Attacks and Patch Management Strategies
  8. 4.8 Vulnerability Scanning Tools and Techniques using AI
  9. 4.9 Exploiting Vulnerabilities (Hands-on Labs)
  1. 5.1 An Introduction to AI
  2. 5.2 Types and Applications of AI
  3. 5.3 Identifying and Mitigating Risks in Real-Life
  4. 5.4 Building a Resilient and Adaptive Security Infrastructure with AI
  5. 5.5 Enhancing Digital Defenses using CSAI
  6. 5.6 Application of Machine Learning in Cybersecurity
  7. 5.7 Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
  8. 5.8 Threat Intelligence and Threat Hunting Concepts
  1. 6.1 Introduction to Python Programming
  2. 6.2 Understanding of Python Libraries
  3. 6.3 Python Programming Language for Cybersecurity
    Applications
  4. 6.4 AI Scripting for Automation in Cybersecurity Tasks
  5. 6.5 Data Analysis and Manipulation Using Python
  6. 6.6 Developing Security Tools with Python
  1. 7.1 Understanding the Application of Machine Learning in Cybersecurity
  2. 7.2 Anomaly Detection to Behavior Analysis
  3. 7.3 Dynamic and Proactive Defense using Machine Learning
  4. 7.4 Utilizing Machine Learning for Email Threat Detection
  5. 7.5 Enhancing Phishing Detection with AI
  6. 7.6 Autonomous Identification and Thwarting of Email Threats
  7. 7.7 Employing Advanced Algorithms and AI in Malware Threat Detection
  8. 7.8 Identifying, Analyzing, and Mitigating Malicious Software
  9. 7.9 Enhancing User Authentication with AI Techniques
  10. 7.10 Penetration Testing with AI
  1. 8.1 Incident Response Process (Identification, Containment, Eradication, Recovery)
  2. 8.2 Incident Response Lifecycle
  3. 8.3 Preparing an Incident Response Plan
  4. 8.4 Detecting and Analyzing Incidents
  5. 8.5 Containment, Eradication, and Recovery
  6. 8.6 Post-Incident Activities
  7. 8.7 Digital Forensics and Evidence Collection
  8. 8.8 Disaster Recovery Planning (Backups, Business Continuity)
  9. 8.9 Penetration Testing and Vulnerability Assessments
  10. 8.10 Legal and Regulatory Considerations of Security Incidents
  1. 9.1 Introduction to Open-Source Security Tools
  2. 9.2 Popular Open Source Security Tools
  3. 9.3 Benefits and Challenges of Using Open-Source Tools
  4. 9.4 Implementing Open Source Solutions in Organizations
  5. 9.5 Community Support and Resources
  6. 9.6 Network Security Scanning and Vulnerability Detection
  7. 9.7 Security Information and Event Management (SIEM) Tools (Open-Source options)
  8. 9.8 Open-Source Packet Filtering Firewalls
  9. 9.9 Password Hashing and Cracking Tools (Ethical Use)
  10. 9.10 Open-Source Forensics Tools
  1. 10.1 Emerging Cyber Threats and Trends
  2. 10.2 Artificial Intelligence and Machine Learning in
    Cybersecurity
  3. 10.3 Blockchain for Security
  4. 10.4 Internet of Things (IoT) Security
  5. 10.5 Cloud Security
  6. 10.6 Quantum Computing and its Impact on Security
  7. 10.7 Cybersecurity in Critical Infrastructure
  8. 10.8 Cryptography and Secure Hashing
  9. 10.9 Cyber Security Awareness and Training for Users
  10. 10.10 Continuous Security Monitoring and Improvement
  1. 11.1 Introduction
  2. 11.2 Use Cases: AI in Cybersecurity
  3. 11.3 Outcome Presentation

Tools

Tool CrowdStrike

CrowdStrike

Tool Flare

Flare

Tool ChatGPT

ChatGPT

Tool Pluralsight

Pluralsight

Exam Objectives

Identity Icon

Automation of Security Processes

Learners will develop the ability to automate routine security tasks such as monitoring, logging, and incident response using AI technologies, improving efficiency and accuracy.

Identity Icon

Data Privacy and Compliance in AI Security

Learners will understand the importance of data privacy and regulatory compliance when using AI in security, enabling them to develop and implement secure, legally compliant systems.

Identity Icon

Threat Detection and Response Using AI

Learners will develop the skills to use AI-powered tools and techniques to detect, analyze, and respond to security threats in real-time

Identity Icon

Real-Time Cyberattack Prevention with AI

Learners will acquire the ability to leverage AI to anticipate and prevent cyberattacks before they occur, using predictive models and behavioral analysis.

Career Opportunities Post-Certification

Mail

Median Salaries

$60,000
Mail

With AI Skills

$75,000
Mail

% Difference

25
Identity Icon
Cybersecurity Engineer (AI-focused)

Develops and implements Al-driven security solutions to protect networks and systems from potential cyberattacks

Identity Icon
Al-Powered Incident Response Analyst

Specializes in AI-driven security incident management, post-incident investigations, and deploying AI-based recovery strategies

Identity Icon
Al Security Analyst

Responsible for leveraging Al technologies to monitor, detect, and respond to cybersecurity threats, ensuring robust security measures are in place.

Identity Icon
Threat Intelligence Specialist

Uses Al tools to analyze cyber threats, identify vulnerabilities, and provide insights for proactive threat prevention and mitigation

AI Security Career Advancement – Your Path to Cyber Resilience

Al+ Security Level 1-100

Market Demand for AI Security Experts

  • The global AI security market is projected to reach $38 billion by 2028, with organisations prioritising AI-driven security measures.
  • Studies indicate that cybersecurity attacks have increased by 300%, making AI security skills crucial for businesses.
  • High-Growth Areas: AI Threat Detection, Secure AI Governance, Cyber Risk Mitigation, and AI-Driven Compliance.
  • AI security experts are in high demand, making this certification an essential step for professionals in IT, cybersecurity, and risk management.

 

Smart Solutions for AI- Powered Credentials

Certificate Certificate

Secure, tamper-proof certifications with blockchain technology and Al integration. Instant verification and custom designs for your brand.

Explore More
Certificate Certificate

Al-enhanced proctoring for reliable assessments with automated integrity checks and live monitoring. Powering the future of certifications with Al and blockchain.

Explore More

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 Certified

Frequently Asked Questions

The AI+ Security Level 1™ certification is a foundational course focusing on AI-powered security solutions, including threat detection, automated response, and incident management.

This course is ideal for cybersecurity professionals, network engineers, IT managers, and AI enthusiasts aiming to enhance their knowledge of AI-driven security techniques.

You will learn about AI-based threat detection, machine learning for security automation, AI-driven incident response, and compliance with standards like GDPR, HIPAA, and NIST.

You’ll receive course materials, case studies, project guidance, and access to an online community of learners.

Yes, AI+ Security Level 1™ certification is widely recognized as a benchmark for foundational knowledge in AI-powered security solutions.

Recommended Certifications

Certification AI+ Ethical Hacker™
AI+
Ethical Hacker™
Certification AI+ Security Level 2™
AI+
Security Level 2™
Certification AI+ Security Compliance™
AI+
Security Compliance™
Certification AI+ Network™
AI+
Network™
Certification AI+ Security Level 3™
AI+
Security Level 3™