Splunk and Amidas:
Turning Data Into Actionable Security Intelligence
Your Trusted Splunk Partner for SIEM and Observability in Hong Kong
Amidas + Splunk: Harnessing the Power of Data for Real-Time Security and Operational Insights
Amidas is a Splunk Powered Reseller in Hong Kong, helping enterprises unlock the full value of their machine data. By combining Splunk’s market-leading data analytics and security information and event management (SIEM) platform with Amidas’ integration expertise, we enable businesses to gain real-time visibility, detect threats, and drive smarter decisions across IT and security operations.
Partnership Highlights
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Splunk Powered Reseller – Hong Kong
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Specialized in SIEM, security analytics, and observability solutions
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Experience across finance, telecom, logistics, and public sectors
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Seamless integration with enterprise IT, cloud, and security ecosystems
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Certified local team offering consulting, deployment, and support services
About Splunk
Splunk is a global leader in data analytics, security, and observability, trusted by organizations to make sense of machine data in real time. With a powerful platform built for high-scale data ingestion, correlation, and alerting, Splunk supports use cases from SIEM and threat detection to IT monitoring and business intelligence.
Solution Offerings
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Security Information and Event Management (SIEM)
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Security Orchestration, Automation, and Response (SOAR)
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Real-Time Threat Detection and Investigation
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Cloud Monitoring and Application Performance Management
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Log Management and Infrastructure Observability
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Compliance Reporting and Risk Analytics
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Integration with third-party EDR, firewalls, and identity platforms
Why Choose Amidas for Splunk?
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Recognized Splunk Powered Reseller with deployment experience across industries
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Strong technical team certified in Splunk architecture and analytics
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Proven success integrating Splunk with hybrid, multi-cloud environments
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Expertise in use case development, dashboard customization, and compliance reporting
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End-to-end delivery from assessment to post-deployment optimization