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Cyberhaven vs Mimecast Insider Risk Management and Data Protection comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 11, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Qualys TotalCloud
Sponsored
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
46
Ranking in other categories
Vulnerability Management (10th), Container Security (11th), Cloud Workload Protection Platforms (CWPP) (8th), Cloud Security Posture Management (CSPM) (8th), SaaS Security Posture Management (SSPM) (2nd), Cloud-Native Application Protection Platforms (CNAPP) (7th)
Cyberhaven
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Loss Prevention (DLP) (29th), Data Security Posture Management (DSPM) (25th), Data Detection & Response (DDR) (5th)
Mimecast Insider Risk Manag...
Average Rating
9.0
Reviews Sentiment
7.2
Number of Reviews
97
Ranking in other categories
Data Loss Prevention (DLP) (4th)
 

Featured Reviews

reviewer2859021 - PeerSpot reviewer
Sr Security Engineer at a tech vendor with 5,001-10,000 employees
Risk-based triage has transformed container security and now prioritizes high-impact threats
The best features Qualys TotalCloud offers currently include managing cloud infrastructure and container security while facing major challenges such as alert fatigue. Traditional vulnerability scanners flag hundreds of CVEs on short-lived Kubernetes containers, some of which have no internet exposure or are gone before we can even triage them. I leverage Qualys TotalCloud to move beyond static CVSS. I use it to implement runtime exposure, correlation risk reprioritization, and shift-left integration. This notifies developers to fix a base image upstream rather than patching live ephemeral instances. In my work with cloud and container security, the biggest operational hurdle was alert fatigue. I use Qualys to shift left from static CVSS severity to context-aware risk prioritization. I correlated raw vulnerability data with real-time risk factors such as public network exposure, active runtime execution, or overly permissive IAM roles. This allows us to immediately drop the priority of isolated containers and escalate lower-severity CVEs that sit on an exposed, high-risk path. We can map these findings directly back to our CI/CD pipelines so developers can patch the root base images upstream. We have drastically cut down the signal-to-noise ratio, saved a lot of manual hours doing triage work, and ensured engineering effort goes directly towards high-impact risk reduction.
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External Ganesh - PeerSpot reviewer
Security Engineer at Comcast
Insider threats have been detected faster and internal data exposure is now controlled
Regarding how Mimecast Insider Risk Management and Data Protection can be improved, sometimes the tool is slightly laggy, wherein it would take some time for us to fetch the related logs from the Mimecast portal, and that of course can be improved. There could also be a graph or a kind of a graph where, if the organization has a smaller number of employees, it is fine, but if it has a large number of employees and different departments, then in that case, Mimecast could give us an AI suggestion upon how to improvise the current security posture, how we stand and where we can go up to in terms of implementing or tweaking the policies. As the organization's size gets bigger, it would also be better if Mimecast could provide some solutions upon how to segregate the users into groups and what groups can have which policies. Those kinds of features can be added. Regarding Mimecast Insider Risk Management and Data Protection's AI capabilities, I think its governance and security could improve as I am not entirely sure how it works. It would be helpful if Mimecast could, as the AI capabilities are in place, maintain a strict governance policy upon the data that is being processed, especially for user personally identifiable information. As insider risk management sometimes also gets into the personal details of the user, organizations might be hesitant; even we are also hesitant to use the AI capabilities. If Mimecast could provide more information about how they store the data and whether the agents are local agents or cloud-hosted agents, that would be of great help for the organizations to consider its AI capabilities while adhering to the compliance needs of a particular organization.
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Top Industries

By visitors reading reviews
Comms Service Provider
16%
Outsourcing Company
12%
Manufacturing Company
11%
Financial Services Firm
10%
Financial Services Firm
12%
Construction Company
8%
Computer Software Company
8%
Comms Service Provider
6%
Financial Services Firm
16%
Outsourcing Company
12%
Construction Company
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise6
Large Enterprise34
No data available
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise30
Large Enterprise44
 

Questions from the Community

What needs improvement with Qualys TotalCloud?
In terms of improvement, remediation still belongs to the cloud team, which is one of the issues we faced with Qualys...
What is your primary use case for Qualys TotalCloud?
My main use case for Qualys TotalCloud is regarding the cloud visibility that we were not having previously. Previous...
Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Code42 Next-Gen DLP?
I am unsure about Mimecast Insider Risk Management and Data Protection's pricing, setup costs, and licensing details....
What advice do you have for others considering Code42 Next-Gen DLP?
My advice for those looking at Mimecast Insider Risk Management and Data Protection is to compare your use case compr...
What needs improvement with Code42 Incydr?
A con to mention is that Mimecast Insider Risk Management and Data Protection, at times, may not capture everything. ...
 

Also Known As

Qualys TotalCloud with FlexScan
No data available
Mimecast Incydr, Code42 Next-Gen DLP, Code42 Next-Gen Data Loss Protection, Code42 Forensic File Search, Code42 Backup + Restore
 

Overview

 

Sample Customers

Information Not Available
Information Not Available
Adobe, Okta, Samsung, Taylormade, Boston University, Lending Club, North Highland, Stanford University, Ping Identity, Qualcomm, Pandora.
Find out what your peers are saying about Microsoft, Forcepoint, Check Point Software Technologies and others in Data Loss Prevention (DLP). Updated: September 2026.
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