Enhancing Compliance and Security Operations with AI

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Summary: If you're tackling compliance and security challenges in an AI-driven world, this post is essential. Discover how Microsoft Purview and Copilot for Security streamline processes, enhance security, and boost efficiency.

‍In today’s rapidly evolving digital environment, organizations are grappling with increasingly complex compliance and security demands especially when it comes to AI. With mounting regulatory requirements and the growing sophistication of cyber threats, enterprises need advanced tools to navigate these challenges effectively. In this environment, AI is simultaneously creating new challenges and solving them. On the negative side, it is increasingly becoming a tool for cybercriminals. Simultaneously, it is used to develop information governance and security strategies and workflows, and to augment compliance requirements. Microsoft Purview, powered by Copilot for Security, is emerging as a valuable tool in a legal or compliance team’s arsenal to streamline compliance processes with AI and bolster security operations.

Addressing key compliance and security challenges

Compliance teams are crucial to ensuring that organizations adhere to regulatory standards and internal policies. Along with legal and information governance teams, they oversee an array of evolving challenges from modern data sources:  

  • eDiscovery data volumes and velocity require advanced technological solutions. Given the vast amounts of data generated daily—from emails and chats to documents and multimedia files—the eDiscovery process can be daunting and resource-intensive. Efficiently managing this data is essential for legal compliance and effective investigations, making technology and technical expertise indispensable.
  • Communication compliance ensures that all forms of organizational communication meet regulatory and policy standards. This includes monitoring emails, instant messages, and other communication channels for potential policy violations. With the sheer volume of communications exchanged within an organization, manual review processes can be both impractical and inefficient, requiring the adoption of sophisticated tools to ensure compliance.
  • Data loss prevention (DLP) aims to avert the unauthorized sharing or leakage of sensitive information. DLP policies must continuously evolve to address new data types and sharing mechanisms. In a landscape where various forms of data flows rapidly, maintaining effective DLP strategies is both challenging and critical for safeguarding organizational information. Security investigators often grapple with the logistical hurdle of tracking and managing a constant stream of alerts and incidents. The dynamic nature of data—spanning emails, cloud storage, and collaborative tools—requires them to stay vigilant and responsive to emerging threats.
  • Insider risk management entails the detection and mitigation of threats originating from within the organization. Insider threats can be particularly challenging to identify as they often involve authorized users exploiting their access in malicious ways. Effective insider risk management requires advanced tools and continuous monitoring to differentiate between benign and harmful behaviors, ensuring that potential threats are addressed promptly. Early visibility into these threats is crucial.

As the responsibilities of compliance teams continue to expand, their budgets and resources are not keeping pace. According to a survey by Thomson Reuters Regulatory Intelligence, 73% of compliance leaders in financial services companies expect an increase in regulatory activity this year. However, 67% of respondents anticipated that the size of their compliance team would remain unchanged or would decrease. Furthermore, 45% expected their budget to stay the same or shrink. This growing discrepancy highlights the need for increased operational efficiencies.

Human expertise and Copilot for Security enhance compliance and security

Given the increasing complexity of compliance and security tasks, traditional methods are no longer sufficient. The volume of data and the rapid evolution of threats and regulations demand a more dynamic approach. The nuanced risk assessment and strategy that your legal and compliance teams provide can be augmented by key features of Copilot for Security. And well-designed prompts can augment Copilot for Security. Here are some ways human expertise and Copilot for Security can work together:

  • Streamlined eDiscovery: For eDiscovery, Copilot leverages AI to streamline the analysis and categorization of large volumes of data. It quickly identifies and organizes relevant documents and communications, significantly speeding up the eDiscovery process. By improving the accuracy and efficiency of data retrieval, Copilot helps legal teams manage their investigations more effectively, ensuring that critical information is readily accessible to inform case strategies early in the life of the matter.
  • Enhanced communication compliance: To help compliance teams quickly understand context and take appropriate action related to certain content, Copilot for Security can provide contextual summaries of messages flagged as policy risk matches. Whether dealing with emails, Teams messages, or posts on Viva Engage, Copilot generates concise summaries of flagged content, including any attached files or multimedia elements. This capability is particularly valuable for handling lengthy or complex messages. By automating the summarization process, Copilot significantly reduces the time and effort required for manual review, ensuring that compliance standards are efficiently maintained.
  • Advanced data loss prevention: Copilot for Security enhances traditional DLP frameworks with dynamic, AI-driven capabilities. It quickly analyses data patterns and identifies anomalies, enabling early detection of potential data leaks. By providing real-time alerts, contextual insights, and detailed reports, Copilot, and other AI in data loss prevention, can help compliance teams address threats promptly and effectively, ensuring better protection of sensitive information and a more secure data environment.
  • Proactive insider risk management: Security teams can use Copilot to help prioritize investigations and focus on the most pressing issues. Copilot supports insider risk management by performing sophisticated behavioral analysis and issuing accurate alerts quickly. This targeted approach not only enhances the efficiency of insider risk management but also ensures that potential threats are addressed promptly, reducing the likelihood of significant security incidents.

The impact of Copilot for Security

Integrating Copilot for Security with Microsoft Purview offers a range of benefits for organizations:  

  • Reduced operational load: By automating tasks such as summarization and anomaly detection, Copilot can reduce a compliance team’s manual workload so they can focus on strategic initiatives and high-priority tasks.
  • Enhanced accuracy: AI-driven insights and analysis improve the precision of compliance monitoring and threat detection, reducing the risk of false positives and ensuring that critical issues are not overlooked.
  • Faster response times: With real-time alerts and contextual summaries, Copilot enables quicker responses to potential compliance and security threats, minimizing the impact of incidents and enhancing organizational resilience.

Copilot for Security significantly amplifies the capabilities of Microsoft Purview, making it an invaluable asset for modern enterprises. By enhancing eDiscovery, communication compliance, data loss prevention, and insider risk management, Copilot streamlines compliance processes and strengthens security measures without the need for resource augmentation and organizational change.

While Copilot for Security offers impressive advancements, it is important to recognize that there is still room for refinement. The effectiveness of Copilot largely depends on the quality of the prompts it receives, and the questions posed. Crafting effective prompts and developing comprehensive promptbooks—series of sequential queries that explore data in depth—can be challenging. Mastering this process requires a nuanced understanding and ongoing practice to fully harness Copilot's potential.

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