Security teams face a growing volume of cyber threats and alerts, often exceeding their capacity to investigate and respond quickly. These pressures make it difficult for analysts to keep pace with incidents and maintain visibility across complex environments.
Microsoft Security Copilot was developed to address these challenges. It is a generative AI tool that interprets natural-language queries, applies a grounding process to provide context, and enriches data from Microsoft security products and third-party services. The platform integrates with Defender XDR, Sentinel, Intune, and Entra.
It supports seven core functions: threat investigation and remediation, KQL query building, security posture management, IT troubleshooting, security policy management, secure workflow configuration, and stakeholder reporting.
Organizations are using AI-powered tools to address industry-specific challenges. Thes following Security Copilot use cases show how AI tools help teams accelerate response times, leverage small teams, and meet increasingly stringent compliance requirements.
Accelerating Incident Response at Toyota Leasing Thailand
At Toyota Leasing Thailand, the Security Operations Center (SOC) faced a high volume of phishing attacks and slow manual reporting. Analysts struggled to triage incidents quickly, coordinate across teams, and stay aligned with Zero Trust principles.
The company responded by integrating Security Copilot with its existing tools — Defender, Entra, and Purview — creating a unified interface for alerts, policies, and compliance data. Security Copilot automated reporting, consolidated threat intelligence, and provided natural-language summaries, enabling faster decision-making.
“Analysts can ask questions in human language and get context they can act on, which speeds up the handoff between the SOC and our IT team,” explained Kalunyu Sopha, security manager at Toyota Leasing Thailand. “Reports that once required long evenings are now generated nearly instantly.”
Incident response times dropped and analysts reported higher confidence in their work. The deployment demonstrates how AI-driven security tools can enhance efficiency while alleviating SOC workloads.
Maximizing IT Impact in K–12 Security at Puerto Rico DoE
A small IT team at the Puerto Rico Department of Education (DoE) manages more than 200,000 devices across 857 schools. Rising cyberthreats targeting education created significant operational strain, making it difficult to respond quickly to phishing attempts while meeting compliance requirements.
The department adopted Microsoft Intune for centralized device administration and became a global education design partner for Security Copilot. Security Copilot provided automated threat detection, AI-driven incident response, and actionable reporting, giving IT staff visibility across thousands of devices and enabling faster decision-making.
“Before Microsoft Security Copilot, threat detection was slow, incident management was manual, and compliance with new cybersecurity laws was a constant challenge,” said Manuel Sanchez López, CISO of the Puerto Rico DoE.
After adopting Security Copilot, IT efficiency improved, phishing incidents fell, and support calls dropped. The deployment shows how AI can multiply the impact of a small team.
Scaling AI Security and Compliance at Icertis
Icertis, a software company serving regulated industries, faced growing pressure to protect sensitive contract data and emerging AI applications. The security team needed to scale operations while maintaining compliance with audit requirements and safeguarding generative AI workloads built on Azure OpenAI and Foundry models.
The company deployed an integrated Microsoft security stack — Defender for Cloud, Sentinel, Purview, and Entra. Security Copilot provided AI-assisted threat detection, automated alert triage, and actionable reporting.
“Security Copilot compresses our investigation workflow by correlating signals across a comprehensive suite of Microsoft security and compliance tools, presenting a unified timeline and recommended actions,” said Tarun Singh, an information security analyst at Icertis.The results were significant.
SOC incident volume dropped by 50%, alert triage became 80% faster, and the team maintained audit readiness. This deployment illustrates how integrated AI-driven security platforms can scale and support compliance-critical environments.
What This Means for ERP Insiders
SOC operations are evolving with the threat landscape. Security Copilot provides AI-assisted triage and natural-language insights, enabling analysts to investigate alerts and respond immediately. AI copilots are one way ERP teams can maintain visibility and act decisively across high-volume environments.
AI extends the reach of small IT teams. Security Copilot amplifies human capacity by automating threat detection, incident response, and reporting, allowing a lean team to manage thousands of devices effectively. AI copilots can help lean security, IT, and ERP teams multiply their impact across complex environments.
Protect sensitive data without slowing security operations. Security Copilot automates alert triage, correlates signals across tools, and ensures audit readiness, helping teams meet compliance while scaling security for AI workloads. This allows ERP users to safeguard critical business data efficiently while their business grows.
