Microsoft Security Copilot
An AI-powered solution for managing and responding to security threats in real-time, integrating OpenAI's GPT-4 with Microsoft security models.
Category | Threat Detection & Response |
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This page updated | 22 days ago |
Pricing Details | Contact Microsoft for pricing details. |
Target Audience | Security professionals and organizations managing complex cloud environments. |
Microsoft Security Copilot addresses the complex challenge of managing and responding to security threats in real-time, particularly in large and complex cloud environments. This AI-powered solution integrates OpenAI's GPT-4 large language model with a security-specific model developed by Microsoft, enhancing the capabilities of security professionals.
The technical architecture of Security Copilot involves a standalone experience as well as embedded experiences within other Microsoft security products such as Microsoft Defender XDR, Microsoft Sentinel, Microsoft Intune, and Microsoft Entra. It leverages plugins from both Microsoft and third-party security products to gather context from event logs, alerts, incidents, and policies. These plugins access threat intelligence, authoritative content, and global threat data, including Microsoft Defender Threat Intelligence articles and vulnerability disclosure publications.
In operation, Security Copilot processes user prompts through a grounding approach, which refines the prompt to ensure relevant and actionable responses. The system then sends the modified prompt to the language model, post-processes the response using additional plugins for contextual information, and returns the result to the user. This iterative process enables Security Copilot to provide summaries for active incidents, step-by-step guidance for incident response, and real-time analysis of malicious code and vulnerabilities.
Key operational considerations include the integration with Microsoft's hyperscale AI infrastructure, ensuring data encryption both in transit and at rest, and the use of a closed-loop learning system that improves responses based on user feedback. However, limitations may arise from the potential for AI-generated content to contain mistakes, requiring ongoing user feedback to refine the system.
Technically, Security Copilot can handle a vast amount of security data, processing over 65 trillion daily signals to provide structured and contextualized insights into emerging threats. It supports multi-step sequences using Promptbooks and can automate security process steps, such as reversing engineering malware scripts. While it enhances the efficiency and capabilities of defenders, it does not replace existing tools like Microsoft Defender XDR and Microsoft Sentinel but rather complements them.