TechValidate Research on Rapid7


Rapid7 InsightIDR Case Study

Rapid7 InsightIDR Case Study: Anonymous Non-Profit

Introduction

This case study of a non-profit is based on an October 2021 survey of Rapid7 InsightIDR customers by TechValidate, a 3rd-party research service. The profiled organization asked to have their name blinded to protect their confidentiality.

Challenges

The business challenges that led the profiled organization to evaluate and ultimately select Rapid7 InsightIDR:

  • Too many false positive alerts from current detection tools; too much noise
  • Difficulty identify cyber security threats on endpoints
  • Lots of jumping between different tools; leveraging multiple tools to look at different security telemetry
  • Dealing with many blind spots across our environment

Use Case

The key features and functionalities of Rapid7 InsightIDR that the surveyed organization uses:

  • Endpoint Detection and Response (EDR)
  • Centralized Log Management
  • Investigations and Incident Response

They have deployed 76% – 99% of their assets in the Insight Agent. Outcomes realized by leveraging the Insight Agent with InsightIDR:

  • Improved endpoint visibility
  • Accelerated detection of targeted or compromised assets
  • Accelerated time to contain threats on the endpoint

Results

The surveyed organization achieved the following results with Rapid7 InsightIDR:

  • Confirmed that InsightIDR provided superior time to value, compared to similar tools used in the past.
  • Since they started using InsightIDR, they said that Threat detection and response is greatly improved.

The surveyed company agreed that InsightIDR helped them to:

  • Level up and advance security program
  • Greatly improve team efficiency
  • Reduce team burnout
  • Improve work-life balance

Since adopting InsightDR, they stated that they were able to reduce:

  • Team time to address an incident by 50% or more
  • Mean time to respond (MTTR) by 50% or more
  • Mean time to resolution or containment (MTTC) by 25-50%
  • Employee downtime as a result of incidents by 25-50%
  • Occurrence of false positives by 25-50%




About This Data

This data was sourced directly from verified users of Rapid7 by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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