We defend our client networks from our state-of-the-art Security Operations Center (SOC), which is staffed 24 hours a day/7 days a week by highly trained security professionals leveraging cutting-edge security processes and technologies. Our Security Analysts are constantly monitoring threats hitting the perimeters of our clients' networks, hunting for adversaries on the network, and investigating and responding, in real-time, to known and newly evolving cyber threats. Our comprehensive managed security services include:

  • 24x7x365 Monitoring  
  • Security Information & Event Management (SIEM)
  • Log Management
  • Vulnerability Management
  • Risk Analysis
  • Incident Ticketing and Response
  • Forensic Investigation 
  • Cyber Intelligence Center
  • Real-Time Cyber Threat Intelligence

SIEM & Log Management

Analytics-Driven SIEM Solution

CyberSquire utilizes Splunk's analytics-driven SIEM platform to empower our analysts with real-time security monitoring, advanced threat detection, forensics and incident management capabilities. Splunk’s analytics-driven SIEM goes beyond simple information and event management and enhances our ability to view a full perspective of our clients' networks thereby building a more powerful and resilient security posture while improving cross-department collaboration. 

Splunk’s analytics-driven SIEM provides:

Visibility: Enhance incident response and investigations using security and non-security data collected across your organization.

Context: Collect, aggregate, de-duplicate, and prioritize threat intelligence from multiple sources to enhance your security investigations.

Efficiency: Streamline security operations by conducting rapid investigations using ad-hoc searches as well as static, dynamic and visual correlations to determine malicious activities.

A Big Data Platform: Using a modern, big data platform enables you to scale and solve a wide range of security uses cases for SOC, SecOps and compliance.

Flexible Deployment Options: Use on-premises, in the Cloud or in hybrid environments depending on your workloads and use cases. Gain insight from hybrid, Cloud and on-premise services

Behavioral Analytics: Uses machine learning detected anomalies data to optimize SecOps and reduce complexity, speeding up the ability to investigate and respond to threats and attacks.