HomeRisk ManagementsLeverage generative AI to expedite threat response and broaden SOC skill sets

Leverage generative AI to expedite threat response and broaden SOC skill sets

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Organizations face many challenges when it comes to managing their defenses in the fast-paced and ever-changing world of cybersecurity. The process of integrating new security technology to keep up with attackers is time-consuming and requires resources. Not to mention, security teams also have to deal with an ongoing shortage of cybersecurity talent, making it difficult to vet and investigate the numerous alerts that come in.

However, a solution is on the horizon in the form of generative AI, which has the potential to greatly streamline security operations and democratize the skill sets of security teams. The use of generative AI can enhance security data and threat intelligence to facilitate natural language processing, enabling users to ask questions and receive answers in a more natural format. This technology can greatly accelerate the incident response process and help document the analyst’s actions and findings along the way.

In addition to streamlining workflows, generative AI can also provide automated recommendations and pre-defined workflows to enrich security analysts with new skills and ensure their time is spent on what matters most for the organization. By leveraging AI-powered technologies, organizations can save time and resources while equipping their teams with the necessary tools and skills to tackle cybersecurity threats more effectively.

By incorporating generative AI in security operations, organizations can not only maximize their existing resources but also respond to emerging threats more quickly. It provides a way to bridge the gap between the shortage of cybersecurity talent and the increasing speed of attackers, ultimately helping organizations strengthen their cybersecurity defenses.

Microsoft, for example, uses generative AI models with plugins and a framework to connect to solutions and answer questions about event data. By leveraging various sources of data and reasoning over past context, analysts can utilize generative AI to understand security incidents more effectively and take the necessary actions to resolve them.

Furthermore, generative AI can be used to document the analyst’s actions and findings along the way, providing real-time reporting that is critical in helping other members of the security team understand what happened and how it was resolved. This report can be assembled in a matter of minutes, a task that would historically take an analyst hours to complete.

The use of generative AI also has the potential to democratize security team skill sets by providing automated recommendations and guidance based on an organization’s security data and processes. By using promptbooks, which are essentially pre-defined workflows, security teams can create consistent, measurable processes that require minimal input from users.

Overall, the application of generative AI in operational roles can transform security, compliance, identity, and management within the enterprise, saving practitioners time, equipping them with new skills, and ensuring their efforts are spent on what matters most for the organization. By exploring AI-powered cybersecurity products like Microsoft Copilot for Security, organizations can take advantage of these technologies to enhance their cybersecurity defenses and respond to emerging threats more effectively.

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