Microsoft Puts AI to Work in Copilot for Security

Want your cybersecurity personnel to recognize and troubleshoot incidents more quickly and accurately?



Jamie Bsales


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In the rapidly evolving landscape of cybersecurity, where threats mutate faster than ever, Microsoft has introduced a groundbreaking tool for enterprises: Microsoft Copilot for Security (Security Copilot for short). Launched this month, the artificial intelligence (AI)-powered solution is designed to empower security and IT professionals with faster insights, threat detection, and guidance. Built on the OpenAI architecture, Security Copilot offers a natural-language assistive experience tailored specifically for the world of cybersecurity.


Microsoft bills Security Copilot as an “AI sentinel” that enhances the efficiency of incident response, threat hunting, intelligence gathering, and posture management—all at machine speed and scale. The tool is designed to sit at the center of an organization’s cybersecurity infrastructure. It can incorporate information from other sources, such as Microsoft Defender, Sentinel, and other tools. Security Copilot can be used in standalone mode, where IT personnel work directly within the Security Copilot user interface. Or the experience can be embedded as a “sidebar” into tools IT staff currently use, such as Microsoft XDR.


The platform delivers broader context around cyber events, too. This is achieved thanks to the AI model’s incorporation of Microsoft Threat Intelligence community data—a vast knowledgebase that maintains insights into known incidents, vulnerabilities, bad actors, and more. In addition to that public knowledge, customers can upload their own data into Security Copilot: For example, the AI can be instructed to watch for specific patterns from previous cyber incidents an organization may have suffered. (Microsoft emphasizes that customer events and interactions within Security Copilot will not be used to train the foundational UI model.)


Primary use cases for Security Copilot include cybersecurity event incident summarization, impact analysis, AI-guided reporting and response, and reverse-engineering of suspect scripts. One of the most striking advantages of Security Copilot is its ability to turn the complexity of security operations into manageable, actionable insights. Through intuitive prompts, security professionals can swiftly summarize incident details, assess impacts, and receive guided suggestions on remediation steps. And Security Copilot's natural language processing capabilities mean that even those not specialized in areas like script and code analysis can delve into details of an event. Microsoft claims high accuracy for Security Copilot’s responses, since the AI is “grounded” in real-world datathere is less “hallucinating” in the model, Microsoft claims. But as with all AI (at present at least), output does need to be vetted by a human.


Security Copilot is being rolled out worldwide region by region. The large language model (LLM) support eight languages, and the product’s UI is supported in 25 languages. The Microsoft Azure-based product is sold on a software-as-a-service (SaaS) model and offers flexible provisioning and pricing based on “consumption units.”


Keypoint Intelligence Opinion

What sets Security Copilot apart is not only its AI foundation, but also its ability to provide contextual insights and prescriptive guidance. Thanks to its security-specific training, Security Copilot extends visibility and contextual understanding beyond what human IT personnel are likely to possess on their own. This means that cybersecurity defenders are not just reacting to threats but are proactively managing and mitigating potential vulnerabilities.


In our view, Microsoft Security Copilot is a must-have addition to the enterprise cybersecurity toolkit. It represents a paradigm shift towards a more intelligent, integrated, and proactive defense strategy.


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