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AI in Cybersecurity
Rating: 4.5 out of 5(21 ratings)

AI in Cybersecurity

Included in Learn AI with Google
AI use cases in the field of cybersecurity.
Created byGoogle
Last updated 2/2026
English

What you'll learn

  • Apply a prompting framework to help streamline common cybersecurity tasks using AI.
  • Utilize generative AI to analyze and interpret complex security frameworks.
  • Leverage AI as a code reviewer and developer assistant.
  • Employ generative AI as a troubleshooting assistant for incident detection and response.

Course content

1 section • 12 lectures • 37m total length

  • Introduction to AI in Cybersecurity1:19
  • Luis: Driving impact with AI in the workplace2:51
  • Use generative AI to work smarter and faster1:31
  • Boost your cybersecurity skills with AI6:57
  • Decode complex security frameworks with AI5:10
  • Use AI to help identify bugs3:56

    Explore how AI tools like Gemini assist security professionals in detecting bugs, preventing division by zero errors, and handling edge cases to improve code reliability and protect systems.

  • Refine code with help from AI2:27
  • Understand system vulnerabilities with AI5:37
  • Prioritize alerts with AI3:04
  • Activity: Use generative AI to list common signs of phishing and malware
  • Key takeaways from AI in Cybersecurity2:46
  • Introducing Google AI Essentials1:00

    Introduce Google ai essentials in the ai in cybersecurity course to outline the key ai concepts featured in this lecture.

  • Take the next step with Google AI Essentials1:00

Requirements

  • A basic understanding of cybersecurity concepts and tools

Description

In the fast-paced world of cybersecurity, staying ahead of threats requires leveraging the latest technology to analyze data and streamline operations. In AI for Cybersecurity you will learn how to integrate artificial intelligence into your daily workflows to work faster and smarter. Using a five-step prompting framework, you'll design prompts that elicit specific, high-quality responses from generative AI tools like Gemini.

A core focus of this course is simplifying complex, time-consuming tasks. You will discover how AI can help with research and parsing large amounts of text, helping you navigate dense security frameworks like NIST SP 800-53 to locate specific controls and understand their implementation nuances.

The course also provides hands-on guidance for using AI as a code reviewer. You will learn how to scan code to identify bugs and spot vulnerabilities arising from edge cases you might not have considered. Beyond debugging, AI can help you update and improve existing code by adding explanatory comments and suggesting performance enhancements. Additionally, you will explore how AI serves as a troubleshooting assistant during detection and response tasks. Throughout these lessons, the importance of a human-in-the-loop approach is emphasized, ensuring that you always evaluate and verify AI outputs against reliable sources to maintain system integrity.

Who this course is for:

  • Individuals looking for increased productivity in completing cybersecurity tasks

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