AI-Driven Guided Response for SOCs with Microsoft Copilot for Security

In today’s evolving cybersecurity landscape, security operations centers (SOCs) are constantly bombarded with incidents ranging from minor alerts to highly complex threats. With cyber threats surging, security teams are often overwhelmed by the sheer volume of incidents, many of which require time-consuming manual investigation. In response to these challenges, Microsoft’s guided response to Copilot for Security has become an essential tool for enterprise customers. Copilot Guided Response is a cutting-edge AI-based system that helps analysts efficiently navigate incidents by providing real-time recommendations for investigation, triage, and resolution.

For commercial customers, the importance of Copilot guided response is clear. This enables faster, more accurate decisions, reduces downtime, and helps prevent potentially serious breaches. Integrated Microsoft’s Unified Security Operations PlatformCombining the full power of industry-leading cloud-based Security Information and Event Management (SIEM) and comprehensive Extended Detection and Response (XDR), Copilot Guided Response is perfectly positioned to strengthen enterprise defenses and support analysts in complex investigations. Across an increasingly complex and hostile threat environment

Despite the obvious benefits, there are several key challenges to implementing a scalable and effective guided response system:

• Complexity of Security Incidents – Tens of thousands of detection rules and one growing array^castle and 3^rd The complexity of an incident varies greatly depending on the party security products across the organization. Many incidents are intertwined with numerous alerts, each representing a different level of threat, making it difficult for the system to provide consistently accurate guidance.
• High precision and recall requirements – Analysts need accurate recommendations to properly prioritize and resolve incidents. This requires a guided response system to maintain both high precision (making the right recommendations) and high recall (catching all relevant threats). System errors can result in costly false positives (alert fatigue) or, even worse, missing true positives that lead to violations.
• scalability – A significant challenge is the ability to scale recommendations to handle millions of incidents across global networks and terabytes of data. Guidance response systems must seamlessly process telemetry in near real-time to provide on-demand analytics.
• Adaptability to SOC Preferences – Every SOC operates with different configurations, products, and workflows. Guided response systems must be flexible enough to adapt to these preferences while maintaining consistency and accuracy of recommendations.
• continuous learning – As threat actors evolve, guided response systems must also evolve. The ability to continuously learn from new data and improve autonomously is critical to staying ahead of advanced persistent threats (APTs) and new attack vectors.

To solve these challenges, Copilot guidance response from Microsoft Introducing advanced AI-based capabilities that automate and streamline the incident response process by giving security analysts the tools they need to respond quickly and effectively to complex security incidents.

Copilot guided response improves three important aspects of incident management: (1) incident triage, (2) corrective action recommendations, and (3) investigation of similar incidents. Through intelligent automation, Copilot guided response reduces manual workload for SOC analysts, improves response times, and increases the accuracy of classification and remediation efforts. Copilot guided response leverages historical data, real-time threat intelligence, and machine learning to help organizations operate more efficiently while mitigating risks associated with advanced cyber threats. This system not only improves detection and response speeds, but also provides analysts with the most relevant information and guidance to help them make informed decisions at every stage of incident investigation and resolution.

key innovations

Copilot guided response architecture can handle millions of incidents per day with just minutes of latency. Our integrated ML system scalably delivers three core SOC capabilities: (1) Investigation, (2) Classification, and (3) Resolution, seamlessly covering a variety of scenarios, from single alerts to complex incidents with hundreds of alerts. It adapts well. They are classified as one of hundreds of thousands of unique security detector classes. Here’s how:

accident classification

Traditionally, SOC analysts have been burdened with manually sifting through thousands of alerts to determine which alerts require immediate action. Copilot Guided Response simplifies this process with AI-powered classification. The system evaluates incoming incidents, allowing analysts to assess the nature of the incident through real-time rating recommendations (true positives (TP), false positives (FP), or positive positives (BP)) based on historical data and threat patterns. Help. This significantly reduces the time required to prioritize incidents, ensuring critical threats are addressed first while minimizing incident fatigue (Figure 1).

Figure 1. Guided response incident triage recommendations.

Containment and corrective action recommendations

In addition to triage, Copilot guided response is excellent for corrective action recommendations, providing a customized response for each incident. Whether it’s isolating a compromised system, suspending a user account, or quarantining a file, Copilot guided responses dynamically suggest the most effective actions to contain and mitigate the threat. The system’s AI model continuously learns from past events and analyst feedback to be able to recommend accurate, situational awareness remedial steps that adapt to the evolving threat environment (Figure 2).

Figure 2. Guided response incident containment and corrective action recommendations.

Similar Incident Recommendations

Copilot Guided Response’s Similar Incident Recommendation feature is designed to streamline the investigation process by automatically identifying past incidents that are highly relevant to the current incident. When a new incident is detected, the system compares it to a massive repository of up to 180 days of historical incidents using advanced machine learning algorithms that analyze multiple features such as attack vectors, indicators of compromise (IOCs), and threat actor behavior. This provides analysts with valuable context and insight through Copilot-guided responses to surface incidents that are significantly similar to the current incident, and reduces the time analysts spend searching for relevant historical data, allowing them to focus on the current investigation.

Figure 3. Guided Response Similar Incident Recommendations

Copilot Guided Response significantly improves SOC operations by guiding security analysts through critical investigation, triage, and remediation tasks and appropriately handling everything from simple alerts to complex incidents. The framework has undergone rigorous internal testing and refinement through feedback loops with security experts and real-world customer interactions. As a result, systems that maintain high performance in both offline and online environments are continuously evolving. With a positive user response rate of 89%, Copilot guided responses have already proven significant value in production environments for customers using Microsoft Defender XDR or the Unified Security Operations Platform. We also In-Depth Paper It details the innovative ML architecture that powers these capabilities and marks the first time a leading cybersecurity company has publicly discussed an industry-scale guided response system.

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