This case study talks about how the client was facing security issues with complex unknown threats which were not manageable by their existing security technology. They chose Eviden AI-Driven Managed Detection and Response (MDR) services for 24x7x365 security monitoring, rapid incident investigation, and near real-time incident response.
What will you learn from this case study:
· How can companies reduce incident analysis effort by 70%
· How companies can leverage unique combination of AI-driven machine learning models from Eviden global team of cyber security experts to accelerate and increase the accuracy of company’s detection, incident analysis, and incident response
· How can Eviden AIsaac Isaac advanced machine learning algorithms work on alerts, proxy, Netflow, and DNS data to detect new and unknown attacks and malware at every stage of the cyber kill chain
· How can enterprises save a lot of cost and manual effort for internal security teams by replacing traditional security measures with Eviden next-gen MDR services
· Refine your enterprises’ alert process flow by filtering out the noise and prioritizing the real threats which needs to be investigated and neutralized
Read the case study to learn how to reduce threat detection and response time.
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