Advanced Prompt Engineering for Cyber Security | Lawrence Home

Описание: This presentation provides a guide to advanced prompt engineering techniques for cyber security operations, focusing on leveraging generative AI and large language models like ChatGPT to enhance and automate various tasks. As organizations face mounting pressure due to vast volumes of data and increasingly sophisticated threats, AI emerges as a powerful solution to streamline, enhance, and analyze information more effectively.

Beginning with an introduction to prompt engineering, the presentation explores techniques for crafting ideal prompts and potential pitfalls. Core concepts establish a foundation for constructing specialized prompts that tap the power of GenAI for threat analysis, incident response, and security enhancement. Specific methods covered include few-shot learning, Chain of Thought, Tree of Thought, ReAct, and automated reasoning to improve model capabilities on complex cyber security tasks.

These techniques can be applied to automate or optimize various cyber security processes, including penetration testing, vulnerability assessments, risk assessment, and threat detection. Key benefits of mastering these techniques include enhancing skills in generating complex commands, writing code, and creating tools. Attendees will gain a clearer understanding of how to use advanced prompt engineering to enhance their daily work and expand their AI application across various domains.

By the end, participants should gain confidence, acquire crucial knowledge, and develop adaptive strategies to stay ahead in the rapidly evolving cyber security field.