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In today’s digital era, where data breaches and cyber threats are increasingly sophisticated and pervasive, the need for robust data security measures has never been more critical. Traditional security approaches are proving insufficient against the complex and evolving nature of modern cyber threats. This has led to a growing consensus among security experts and industry leaders on the imperative to incorporate Generative AI (GenAI) into data security frameworks. GenAI’s ability to analyze vast amounts of data in real-time, identify patterns, and predict potential threats offers a transformative approach to safeguarding sensitive information. According to a recent report by Gartner, the use of AI in cybersecurity is expected to reduce the number of data breaches by up to 20% by 2025, underscoring the industry’s recognition of AI’s vital role in enhancing data security (Gartner, 2022). This blog explores how Microsoft is leveraging GenAI to revolutionize data security, providing organizations with the tools they need to protect their digital assets effectively.


 


Leverage the power of Copilot to secure your organization


Human ingenuity and expertise will always be an irreplaceable component of defense, so we need technology that can augment these unique capabilities with skill sets, processing speeds, and rapid learning of AI. Technology that can work alongside us, detect hidden patterns and behaviors, and inform response at machine speed with the latest and most advanced security practices.


 


In this scenario, Microsoft Copilot for Security helps professionals across the many cybersecurity disciplines to be more effective and efficient at all the roles they play. It helps you enhance and grow your capabilities and skills, while also supporting the workflows and teams you collaborate with to solve security challenges. Since Copilot for Security uses GenAI to analyze data from many sources, including other Microsoft Security solutions, it can also help analysts catch what they might have otherwise missed. Copilot for Security synthesizes data and detects those important signals better than ever before, all in a single pane of glass, without having to jump between different solutions to get additional context.


 


Boost your data protection efficiency with Copilot for Security embedded in Purview


An important application of Copilot for Security is to empower and strengthen data security and data compliance teams in securing data with more efficiency and agility. Data security admins are often challenged by the high volume and complexity of alerts, and the integration between Microsoft Purview and Copilot for Security enables these tools to work together to protect your data at machine speed.


 


The speed at which data security investigations are conducted is crucial to preventing data loss. However, the task of analyzing a vast array of sources can pose a significant challenge for analysts at any experience level. With Copilot-powered comprehensive summaries of Microsoft Purview Data Loss Prevention (DLP) alerts, data security admins can identify, act on alerts and prevent data risks much faster and effectively. When an alert is summarized, it includes details such as policy rules, the source, and the files involved, as well as user risk level context pulled from Insider Risk Management (IRM).


 


Figure 1: embedded Copilot summarization into Data Loss PreventionFigure 1: embedded Copilot summarization into Data Loss Prevention


Your team can also leverage summaries in Microsoft Purview Insider Risk Management alerts, which enables faster understanding of potentially risky activity, user context, behavior sequences. and intent present in an alert. Moreover, we’re excited to announce the public preview of the Copilot for Security-powered enhanced hunting in IRM, where admins will be able to use GenAI-driven analytics to deepen investigations and double-click into a user’s risk profile and activities, beyond the alert summary.


 


Figure 2: embedded Copilot summarization into Insider Risk ManagementFigure 2: embedded Copilot summarization into Insider Risk Management


Compliance admins, forensic investigators, legal, and other teams can also strongly benefit from GenAI being incorporated into their workflows. Not only do they spend most of their time reviewing lengthy content and evidence; but admins need to invest time to learn complex technical capabilities like keyword query language to conduct a search, with 60% of admin time spent reviewing evidence collected in review sets.


 


Compliance teams are subject to regulatory obligations, like industry regulations or corporate policies related to business communications. This requires teams to review communication violations that contain lengthy content like meeting transcripts, group chats, long email threads and attachments. With concise and comprehensive contextual summaries on Microsoft Purview Communication Compliance, content can be evaluated against relevant compliance polices and investigators are able to get a summary of the policy match and better identify risky communication.


 


Figure 3: embedded Copilot summarization into Communication ComplianceFigure 3: embedded Copilot summarization into Communication Compliance


These contextualized summaries are also invaluable in Microsoft Purview eDiscovery, where they help simplify the exploration of large about of evidence data, which can take hours, days, even weeks to do. This process often requires costly resources like an outside council to manually go through each document to determine relevancy to the case, and this embedded Copilot for Security capability enables reducing days of legal investigations into seconds, by allowing an investigator to use Copilot to summarize items in a review set.


 


Figure 4: embedded Copilot summarization into eDiscoveryFigure 4: embedded Copilot summarization into eDiscovery


Search is one of the most difficult and time-intensive workflows in an eDiscovery investigation. Now, you can simplify investigation by leveraging Copilot for Security to translate inquiries from natural to keywork query language. This feature allows organizations to take Natural Language and convert that into assertive evidence queries, in doing so this can correct possible errors, boost team expertise, and enable analysts at all levels to carry out advanced investigations.


 


Figure 5: embedded Copilot search with Natural Language on eDiscoveryFigure 5: embedded Copilot search with Natural Language on eDiscovery


All these recent developments are just the beginning of the Copilot for Security journey into Microsoft Purview, and we’ll continue to share new advancements and GenAI-powered capabilities that will take your data security program to the next level.


 


To learn more about how Microsoft Purview can help you protect your data, check our website, or explore our learning resources focused on Copilot for Security in Purview.


 


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Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.