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AI+ Security Practitioner™ certification badge

AT-2101

AI+ Security Practitioner™

Formerly known as AI+ Security Level 1™

Empowering Cybersecurity with AI
AI Security
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At a glance

What is included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 5 days (live or virtual)
  • Self-Paced: 40 hours of content

Recommended background

Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.

Examination

50 questions, 70% passing, 90 minutes, online proctored exam

About this certification

This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.

Curriculum

Module 1: Computing, Linux, and Operating System Foundations+
  1. You will learn about computer systems, operating systems, Linux administration, file systems, commands, user management, permissions, authentication, and access control concepts.
Module 2: Networking Fundamentals and Traffic Analysis+
  1. You will learn networking concepts, IP addressing, protocols, TCP/IP communication, DNS, network security, traffic analysis, firewalls, IDS/IPS, and VPN technologies.
Module 3: Python for Security and Automation +
  1. You will learn Python programming fundamentals and how to use scripting for security automation, log analysis, data processing, and efficient security workflows.
Module 4: Cybersecurity Foundations and Threat Landscape+
  1. You will learn cybersecurity principles, risks, vulnerabilities, attack surfaces, security controls, common cyber threats, and industry security frameworks.
Module 5: Cryptography, Authentication, and Identity Security +
  1. You will learn encryption, hashing, digital signatures, TLS security, authentication methods, identity management, access controls, and identity protection practices.
Module 6: Introduction to Artificial Intelligence and Machine Learning +
  1. You will learn AI, ML, and Deep Learning fundamentals, learning approaches, ML lifecycle, datasets, model evaluation, and AI applications in cybersecurity.
Module 7: AI Applied to Security Detection and Threat Hunting +
  1. You will learn AI-based threat detection, behavioral analytics, anomaly detection, threat intelligence, threat hunting, MITRE ATT&CK mapping, and AI-assisted SOC operations.
Module 8: AI Security, LLM Security, and Responsible AI +
  1. You will learn LLMs, Generative AI, AI copilots, RAG, OWASP LLM security risks, AI vulnerabilities, governance, and responsible AI practices.
Module 9: Offensive Security for AI Systems +
  1. You will learn AI threat modeling, attack surfaces, adversarial attacks, STRIDE methodology, AI vulnerabilities, red teaming, and security testing approaches.
Module 10: Security Operations, Incident Response, and Malware Analysis+
  1. You will learn about SOC operations, SIEM concepts, incident response, malware analysis, threat investigation, and AI-assisted security operations.
Module 11: Governance, Compliance, and Ethical AI Security+
  1. You will learn security governance, risk management, AI governance, compliance, privacy principles, and responsible AI security practices.
Module 12: Capstone Project — AI-Driven Security Operations and Defense+
  1. You will apply cybersecurity skills through an end-to-end AI security project involving threat analysis, AI risk assessment, incident response, and professional security reporting.

Who should enrol

Cybersecurity Professionals: Those who want to enhance their security skills by applying AI techniques for threat detection, analysis, and response.

Security Analysts: Those who work with security monitoring, incident investigation, vulnerability assessment, and AI-assisted security operations.

IT Professionals: Those who want to understand how AI can strengthen infrastructure protection, risk management, and security workflows.

Network and System Administrators: Those who manage digital environments and want to use AI tools to improve security monitoring and protection.

Risk and Compliance Professionals: Those who want to explore AI-driven approaches for security governance, compliance management, and risk assessment.

Ethical Hackers and Security Researchers: Those who want to apply AI capabilities to identify vulnerabilities, analyse threats, and improve defensive strategies.

AI and Technology Professionals: Those who want to understand the security challenges of AI systems and implement safer AI solutions.

Security Managers and Decision Makers: Those who want to leverage AI insights to improve cybersecurity strategies, operational efficiency, and organizational resilience.

Ready to get certified?

Speak to Trustview about scheduling, group rates and examination logistics for AI+ Security Practitioner™.

Enquire now