Overview What You Will Learn Curriculum Instructor

Course Overview

Security audits are complex, time-consuming, and often overwhelming. Manually analyzing logs, creating audit reports, and ensuring compliance with multiple security frameworks can slow down security professionals and introduce errors. 

However, delaying a security audit could expose organizations to compliance failures, regulatory penalties, and cybersecurity threats. You need a solution that simplifies security audits without sacrificing accuracy. This course teaches you how to leverage ChatGPT to streamline security audits, from writing policies to reviewing audit logs, detecting anomalies, and generating compliance reports. You'll get hands-on experience using ChatGPT prompts to automate tasks, ensuring audits are faster, more efficient, and more accurate. 

By the end of this course, you’ll be able to conduct security audits with ChatGPT efficiently, improve compliance workflows, and reduce audit fatigue while mitigating AI-related risks such as bias, hallucinations, and adversarial AI threats. 

The logo and trademarks mentioned above, including those owned by OpenAI, are the property of their respective owners. EC-Council is not affiliated with, endorsed by, or sponsored by OpenAI.

What You Will Learn

  • Learn how AI assists in compliance and risk assessments.
  • Generate security policies aligned with industry frameworks.
  • Use ChatGPT to review IDS logs, firewall logs, and SIEM data.
  • Detect security weaknesses using AI-powered analysis.
  • Automate compliance reporting with ChatGPT prompts.
  • Conduct identity & access management audits using AI.
  • Stay ahead with AI-driven security governance.
  • Mitigate AI bias, hallucinations, and adversarial threats.

Program Curriculum

  • Course Introduction & Learning Outcomes
  • The Evolution of ChatGPT & AI in Security Audits
  • Benefits & Limitations of ChatGPT in Security Audits
  • Understanding AI Risks & Accuracy in Compliance
  • Chapter 1 Quiz

  • What is a Security Audit? (Types & Frameworks)
  • Key Stages of a Security Audit Process
  • Identifying Security Audit Motives & Defining Audit Objectives
  • Planning & Structuring Audit Documentation with AI
  • Creating Audit Checklists & Risk Assessments
  • Chapter 2 Quiz

  • Using ChatGPT to Generate Security Policies
  • Automating Compliance Checks with AI
  • Mapping Policies to Compliance Standards (ISO 27001, NIST, CIS, PCI DSS)
  • AI-powered Gap Analysis & Compliance Monitoring
  • Enhancing Security Governance with AI Assistance
  • Chapter 3 Quiz

  • Using ChatGPT to Review Security Logs
  • Analyzing IDS, SIEM & Firewall Logs with AI
  • Automating Log Review for Anomaly Detection
  • Writing ChatGPT Prompts for Log Analysis Shape
  • AI-Powered Security Log Analysis - Lab
  • Chapter 4 Quiz

  • How AI Can Assist in Risk Management
  • Using ChatGPT to Identify Security Control Gaps
  • Automating IAM Audits with ChatGPT
  • Detecting Anomalies & Security Threats
  • AI-driven Security Audit Reporting
  • Chapter 5 Quiz

  • Writing Advanced ChatGPT Prompts for Security Audits
  • Generating Audit Reports with AI
  • Automating Security Assessments with AI-generated Scripts
  • Enhancing Threat Intelligence with ChatGPT
  • Hands-on Lab: Real-world ChatGPT Audit Use Cases
  • Generative AI for Security Automation and Compliance - Lab
  • Chapter 6 Quiz

  • AI Bias, Hallucinations, & Adversarial AI Threats
  • Ethical Considerations in AI for Security Audits
  • Future Trends – AI vs. AI in Cybersecurity
  • Useful Cheat Sheet: ChatGPT Prompts for Security Audits
  • Next Steps – Advancing Your AI & Cybersecurity Knowledge
  • Chapter 7 Quiz
Load more modules

Instructor

Jeff Karanja

Jeff Karanja is an experienced cybersecurity expert with a focus on web/mobile application security and DevSecOps. He has a wealth of experience spanning over a decade in the telecom, insurance, and banking sectors. Jeff is dedicated to educating developers and security practitioners on the importance of integrating security into the mobile app development lifecycle.

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