Microsoft Sentinel: 3-Wk Proof of Concept

Invoke

Prove out Security Operations use cases with a modern, intelligent, and adaptive security solution, using automation and machine learning, to keep pace with today's threats

Value Proposition

Prepare for Microsoft Copilot for Security! Modern security operations needs to be intelligent, adaptive and make best use of automation and machine learning to keep pace with today’s threats. Traditional SIEM solutions gather and present security alerts but the increasingly frequent and sophisticated attacks, volume of alerts and need for rapid detection and remediation has led to a shift to more modern solutions. Microsoft Sentinel is a cloud native SIEM and SOAR solution backed by Microsoft’s advanced telemetry, providing a single solution for alert detection, investigation, remediation, and proactive hunting across Microsoft and 3rd party signals through a vast ecosystem of native connectors & integrations.

Eligible Workloads

  • Microsoft Sentinel
  • Azure Arc
  • Azure Logic Apps
  • First & third-party workload native connectors

Engagement Outcomes

  • Review your security goals and objectives​
  • Identify real threats in your cloud or PoC environment​
  • Map identified threats to specific solution recommendations​
  • Automate incident response to reduce mean time to detect (MTTD) and mean time to respond (MTTR)​
  • Showcase security scenarios with product demos​
  • Develop joint plans and next steps
Participation
  • CISO, CIO, CSO, IT Security, IT Security Operations
  • 11 hours of collaborative sessions scheduled over 2-3 weeks​

Invoke Scope of Delivery

  • Invoke to conduct a Proof-of-Concept implementation for Microsoft Sentinel
  • Technical & strategic cloud security roadmap
  • Review results, recommendations, and next steps

Proof-of-Concept offers

  • Microsoft funding for Invoke-led Assessment may be available upon request
  • Engagement length and cost will vary, depending upon scenarios explored
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https://store-images.s-microsoft.com/image/apps.667.43b8b305-4693-48f6-83a4-6538ddd390c8.6c0975ed-adaa-47e2-8753-7fc2b8220bb0.e4b144e5-8cee-44a0-a108-ae0640174ce0