Microsoft Copilot for Security: Revolutionizing Security Operations with AI

Microsoft Copilot for Security is a generative AI-powered solution that accelerates and enhances the capabilities of security professionals. It supports defenders in end-to-end scenarios like incident response, threat hunting, and security posture management, improving security outcomes at scale and speed.Write your text here...

Copilot for Security Primary Use Cases

• Incident Summarization
  Copilot for Security simplifies complex security alerts into actionable summaries, improving communication and reducing response times across teams.

• Impact Analysis
  AI-driven analytics offer insights into the potential impact of security incidents, helping teams prioritize response efforts and stop large-scale attacks like ransomware.

• Reverse Engineering of Scripts
  Copilot analyzes malware and complex scripts, translating them into easy-to-understand language, enabling analysts to efficiently link indicators to specific entities within the environment.

• Guided Response
  Security professionals receive detailed, step-by-step incident response guidance, helping teams move from triage to remediation quickly and effectively.

How Does Copilot for Security Work?

• Standalone Experience
  Security professionals can interact with Copilot for Security in a focused, dedicated environment to manage and address security threats.

• Embedded Experience
  Seamlessly integrated into products such as Microsoft Defender XDR, Sentinel, and Intune, Copilot for Security works in the context of ongoing security operations, offering prompts and recommendations directly in existing workflows.

Key Components of Copilot for Security’s Workflow:

• User Prompts and Grounding:
  Security professionals send prompts to Copilot from products like Defender XDR. These prompts are “grounded” by accessing plugins to improve specificity, ensuring relevant answers.

• Large Language Model (LLM):
  Copilot processes the grounded prompt using its LLM, generating responses based on the organizational context, event logs, and global threat intelligence.

• Post-Processing with Plugins:
  The AI response is further refined using plugins to provide actionable insights. This ensures the information is accurate, contextualized, and ready for use by the team.