Generative AI (GAI) has revolutionized how we interact with technology, especially in the realm of cybersecurity. By understanding natural language, GAI enables us to instruct complex operations in simple terms. This post explores how to utilize GAI for creating concise, accurate summaries of security investigations, using Security Copilot as a prime example.
Background on Security Copilot and Promptbooks
Security Copilot employs promptbooks—a series of user-input-driven prompts that analyze cybersecurity threats, like suspicious PowerShell scripts. These scripts, which can download and execute files from remote IPs, pose significant security risks. Promptbooks streamline the workflow by building off previous contexts, culminating in a comprehensive analysis including malicious behavior identification, Indicator of Compromise (IOC) extraction, and correlation with Microsoft's threat intelligence.
How Sessions Work in Security Copilot
Every interaction within Security Copilot, be it an individual prompt or a promptbook, generates a session. These sessions, which are storable and shareable within your workspace, form the basis of our investigation summary.
Crafting Summaries with Precision
Generating a summary within Security Copilot can vary in complexity and detail, influenced by how you craft your prompt. Let's explore different strategies:
Basic Summarization
A straightforward prompt might yield a summary in bullet points—a format that might not align with everyone's expectations for a summary. This approach, while capturing the essence of the session, doesn't fully leverage Security Copilot's capabilities.
Enhanced Summarization with Guidance
By extending our prompt to include specific formatting instructions and recommendations, we can obtain a more actionable output. This not only captures the session details in a concise paragraph but also provides actionable next steps, drawing upon the security knowledge integrated within the AI models.
Comprehensive Analysis with Expert Opinion
Asking for the AI's viewpoint on the incident, backed by evidence, further refines the summary. This approach ensures a detailed understanding, including the AI's confidence in its assessment. However, it's important to remember that GAI outputs can vary, and specifying desired details in your prompt can help maintain consistency.
Responsible AI Use
It's crucial to approach GAI with a mindset of responsible use, especially in security contexts. While GAI can offer valuable insights, the possibility of inaccuracies necessitates human oversight in the analysis process.
Tailoring Summaries for Management
Adjusting the summary's tone and content for management or other non-technical audiences ensures that the essential facts are communicated effectively, without overwhelming them with technical details.
Conclusion: The Art of Prompting
This exploration into GAI's application within security investigations highlights the importance of tailored prompting. By adjusting our approach, we can derive more nuanced and actionable insights from our analyses, demonstrating GAI's potential to augment cybersecurity workflows.
As we continue to explore the capabilities of generative AI, consider how you might want your investigations summarized. The flexibility and power of GAI are at your fingertips, ready to transform complex data into clear, actionable information.
Feel free to share your ideas for prompts, and let's explore the vast possibilities together.