The AI-Driven Cybersecurity Analyst
32mBeginner2025-04-02
Authors
Mike Wylie
Information Security Expert and Threat Manager
Course details
Artificial intelligence is transforming cybersecurity. Are you ready to transform with it? Learn to harness the power of AI in this course that looks at AI in both offensive and defensive security capacities. Instructor Michael Wylie shares ten tips for leveraging AI—including prompt engineering, ethical use of AI, threat detection, and LLM-driven honeypots—that will shape the next generation of cybersecurity professionals.
Plus, get a look at the future of cybersecurity with AI, including upcoming advancements and their potential impact so you can stay informed on future trends and maintain a competitive advantage—both against evolving threats and in the cybersecurity job market.
Learning objectives
Apply prompt engineering techniques and AI tools to enhance cybersecurity analysis workflows, including threat detection, security reporting, and configuration optimization.
Evaluate the ethical implications and security considerations of integrating AI into cybersecurity operations, including data privacy, offline usage, and potential threat actor exploitation.
Design AI-driven security solutions by leveraging language models for threat intelligence, honeypot operations, and automated incident response documentation.
Plus, get a look at the future of cybersecurity with AI, including upcoming advancements and their potential impact so you can stay informed on future trends and maintain a competitive advantage—both against evolving threats and in the cybersecurity job market.
Learning objectives
Apply prompt engineering techniques and AI tools to enhance cybersecurity analysis workflows, including threat detection, security reporting, and configuration optimization.
Evaluate the ethical implications and security considerations of integrating AI into cybersecurity operations, including data privacy, offline usage, and potential threat actor exploitation.
Design AI-driven security solutions by leveraging language models for threat intelligence, honeypot operations, and automated incident response documentation.
Skills covered
Governance, Risk, and ComplianceGenerative AICybersecurityArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - How AI is transforming cybersecurity
1. AI Tips for Cybersecurity Analysts
- 02 - Prompt engineering and productivity tips for cybersecurity analysts
- 03 - Advanced prompt engineering and productivity tips
- 04 - Using AI ethically and securely in cybersecurity, part 1
- 05 - Using AI ethically and securely in cybersecurity, part 2
- 06 - Running AI offline and locally
- 07 - Threat actors use of AI
- 08 - Threat detection with AI
- 09 - Improve security reporting using AI
- 10 - AI-driven threat intelligence
- 11 - LLM-driven honeypots
2. Helpful Resources
- 12 - The future of cybersecurity with AI
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