Generative AI for Cybersecurity Experts

1000+ Prompts for GenAI Cybersecurity Tasks

What you'll learn
- Gain a strong conceptual foundation of Generative AI, including how LLMs and diffusion models function and apply to security use cases.
- Understand the difference between traditional AI and GenAI in the context of cybersecurity threat detection, prevention, and response.
- 1000+ prompts to operationalize GenAI across cybersecurity workflows.
- Learn to design effective prompts for security-specific tasks such as log analysis, incident triage, and adversarial simulation.
- Use GenAI to automate threat intelligence workflows, including parsing IOCs, summarizing OSINT, and mapping MITRE ATT&CK vectors.
- Implement GenAI to generate and customize SOAR playbooks, incident response documentation, and SIEM alert summaries.
- Simulate APT attack chains, phishing campaigns, and red team scenarios using ethically constructed GenAI prompts.
- Create compliance-ready content such as audit documentation, NIST/ISO 27001 reports, role-based policies, and CVSS assessments using GenAI.
- Understand and mitigate GenAI-specific risks such as prompt injection, model inversion, and data poisoning through secure design practices.
- Learn to implement sandboxing, access control, and audit logging for GenAI security tools and integrate them into existing pipelines.
- Explore real-world case studies including Microsoft Security Copilot and Palo Alto Cortex XSIAM,

Requirements
- Foundational Knowledge of Cybersecurity Concepts
- Willingness to Experiment with Prompts and AI Tools

Description
As the cybersecurity landscape evolves, so do the tools needed to protect it. This course empowers cybersecurity professionals with the practical skills, technical insights, and strategic frameworks required to harness the power ofGenerative AI (GenAI)in modern defense environments. From threat detection and incident response to compliance automation and adversarial simulation, this course presents real-world applications of GenAI in a cyber context.

We begin by demystifying howlarge language models (LLMs)anddiffusion modelsoperate, and why GenAI is uniquely positioned to augment cybersecurity tasks compared to traditional AI systems. You will explore how GenAI is reshaping the cybersecurity ecosystem, with hands-on use cases such asauto-generating threat intelligence reports from IOC feeds, convertingunstructured OSINT into structured summaries, and leveragingChatGPT to map MITRE ATT&CK vectors.

You will masterprompt engineering for cybersecurity—designing commands for log analysis, anomaly detection, triage automation, and adversarial simulation. Through labs, you'll use GenAI to parse SIEM logs, generate SOAR workflows, and simulateAPT attack chainsethically and securely.

The course delves into governance and risk, addressing advanced topics likeprompt injection,model inversion, anddata poisoning, while introducing mitigation strategies such assandboxing,access controls, andaudit loggingfor secure GenAI deployment.

With case studies onMicrosoft Security CopilotandPalo Alto Cortex XSIAM, you'll examine GenAI integrations with SIEM, SOAR, and EDR platforms. The capstone includes over1000 expertly crafted GenAI promptsto supercharge cybersecurity operations—from vulnerability classification to compliance report automation.

Who this course is for:
- SOC Analysts and Incident Responders Seeking to use GenAI for alert summarization, log analysis, and playbook generation to accelerate detection and response workflows.
- Threat Intelligence Analysts Interested in automating IOC correlation, converting unstructured OSINT, and generating threat summaries using GenAI.
- Red and Blue Team Members Who want to simulate APT attack chains, phishing campaigns, and adversarial scenarios with ethical AI prompting techniques.
- GRC and Compliance Officers Aiming to automate the creation of NIST, ISO 27001, and regulatory documentation using secure and audit-ready GenAI methods.
- Security Architects and Engineers Looking to integrate GenAI into SIEM, SOAR, and EDR systems while mitigating risks like prompt injection and data leakage.
- DevSecOps Professionals Who wish to embed GenAI in secure CI/CD pipelines for automated policy enforcement, CVSS scoring, and risk matrix generation.
- AI Security Researchers and Governance Leads Exploring GenAI risk modeling, model inversion, and safe deployment practices for enterprise environments.
- Technology Leaders and CISOs Who need strategic insight and tactical tools to assess the ROI, risk, and operational potential of GenAI across cybersecurity operations.
More Info