Kitecyber vs Microsoft Purview DLP
Purview is excellent inside Microsoft 365 and, by Microsoft’s own framing, stops at its edge. Here is what that boundary costs, where Purview is the better answer, and what changes when data protection runs on the endpoint instead.
The short version
Microsoft Purview DLP is deeply integrated with Exchange, SharePoint, OneDrive and Teams. Microsoft’s own documentation describes it as not a network DLP tool, and its coverage ends once data leaves Microsoft 365.
Endpoint DLP, Teams DLP and Gen AI monitoring are gated behind E5 or A5 licensing and require Intune device enrollment. Purview’s Gen AI browser extension records event metadata — site, timestamp, user, matched policy — rather than inspecting the content of what was pasted. A Linux endpoint DLP client is not listed in the supported operating systems.
Kitecyber classifies sensitive data with contextual AI on the endpoint itself and enforces policy before anything is transmitted, across any application, any SaaS destination and any network, on Windows, macOS and Linux, at a single licensing tier.
If you take one thing from this page
One policy applies to any endpoint application, any SaaS destination and network traffic, with a built-in secure web gateway. No boundary to reason about, and no separate network DLP product to buy and reconcile.
And where Purview is the better answer, we have said so below rather than leaving you to find out later.
Head to head
Capabilities are marked Full Partial or Not documented. Several rows go against us.
| Capability | Kitecyber | Microsoft Purview |
|---|---|---|
Classification method | FullContextual AI across 80+ categories, over 90% accuracy, judged on what a document is | PartialSensitive info types, exact data match and trainable classifiers that need sample documents to train; OCR reported weak on non-Office and unstructured formats |
Coverage beyond the vendor's own ecosystem | FullAny endpoint application, any SaaS destination and network traffic, uniformly | Not documentedNon-Microsoft SaaS such as Slack, Salesforce, Box and GitHub, and most agent and connector-driven paths, fall outside policy reach |
Network DLP | FullBuilt-in secure web gateway in the same agent | Not documentedMicrosoft's own materials: not a network DLP tool |
Gen AI paste and upload | FullClassifies the sensitive content in the payload and blocks inline before it leaves the device | PartialBrowser extension flags visits to ChatGPT, Gemini and Claude but logs metadata only, not content |
Linux endpoints | FullFull support, same policy engine as Windows and macOS | Not documentedNo Linux endpoint DLP client in the documented supported-OS list |
Data lineage through transformation | FullTracks content across screenshots, encoding and format conversion | Not documentedThird-party analysis reports no native tracking of sensitive data after file modification or renaming |
Automated incident reporting | FullFull report generated in minutes, with no historical baseline required | PartialDashboards for risk trends and policy tuning; enforcement is block, warn, encrypt or notify rather than a written narrative |
Licensing model | FullSingle agent, single tier, no capability gates | PartialCore DLP at E3; Teams DLP, Endpoint DLP and Gen AI monitoring require E5, A5 or add-on licensing |
Prerequisites | FullDeploy the agent | PartialVerify the licensing tier, then complete Intune device enrollment |
Time to deploy | FullLive in about a day with pre-built compliance policies | PartialLicensing verification, Intune enrollment, configuring 100+ info types, policy build, classifier training and ongoing tuning |
Microsoft 365 data at rest | Not documentedNot covered — Kitecyber does not reach into SharePoint or Exchange through an API | FullBest in class, natively |
Compiled from public vendor documentation, product pages and third-party reviews, September 2026. Where a capability is marked not documented it may exist without being publicly described — verify directly with the vendor. This market changes quickly; check the date on this page.
- Where Purview is stronger
Data at rest inside Microsoft 365
Nothing Kitecyber does reaches content sitting in SharePoint, Exchange, OneDrive or Teams the way Purview does natively. If that is where your sensitive data lives, this is a real and decisive advantage.
Sensitivity labels and information protection
Purview’s labelling ecosystem, including label inheritance inside Office applications, has no equivalent in our product.
eDiscovery, retention and records management
All in the same console. Kitecyber offers none of this.
It is already in your agreement
If you hold E5, Purview is included. That is a genuine commercial argument and we are not going to pretend it is not.
- Where Kitecyber is stronger
Everything outside Microsoft
One policy applies to any endpoint application, any SaaS destination and network traffic, with a built-in secure web gateway. No boundary to reason about, and no separate network DLP product to buy and reconcile.
Gen AI enforcement rather than Gen AI logging
Purview’s extension can tell you that someone visited ChatGPT. Kitecyber classifies the sensitive content in the paste or upload payload and blocks the transfer before it leaves the device.
Linux, and no tier gate
The same policy engine runs on Windows, macOS and Linux, and no capability in the agent sits behind a higher licensing tier or a device-enrollment prerequisite.
Time to value
Live in about a day with pre-built compliance policies mapped to GDPR, SOC 2, HIPAA, PCI DSS, FINRA and CMMC — rather than a multi-stage rollout with classifier training and ongoing tuning.
Lineage through transformation
Sensitive content stays governed after it has been screenshotted, encoded, exported or converted into a format a content scanner no longer recognizes.
When Purview is the right choice
If your sensitive data genuinely lives entirely within Microsoft 365, you run no Linux endpoints, and you have no requirement to block data entering AI tools, Purview is already in your E5 agreement and reaches that data more deeply than we do. We would rather tell you that on the first call.
Running both
Most Purview customers do not rip it out. Purview keeps doing what it is best at inside Microsoft 365, and Kitecyber covers the endpoint, the network, non-Microsoft SaaS destinations, Linux and Gen AI enforcement. Policies can be aligned so the same data categories are treated consistently on both sides of the boundary.
Common questions
Only partially. Microsoft's own documentation describes Purview DLP as not a network DLP tool, and its coverage is focused on Exchange, SharePoint, OneDrive, Teams and enrolled Windows and macOS endpoints. Non-Microsoft SaaS applications such as Slack, Salesforce, Box and GitHub, along with most agent and connector-driven data paths, fall outside its policy reach.
Purview's Gen AI browser extension flags visits to tools like ChatGPT, Gemini and Claude and logs event metadata — the site, timestamp, user and matched policy — rather than the content of the paste. Kitecyber classifies the sensitive data inside the paste or upload payload on the device and can block the transfer before it leaves. Neither product reads the full text of a user's prompt.
Purview's documented supported operating systems for endpoint DLP cover Windows and recent macOS releases; a Linux endpoint DLP client is not listed. Kitecyber runs the same policy engine on Windows, macOS and Linux.
Core DLP capability is available at E3, but Endpoint DLP, Teams DLP and Gen AI monitoring require E5, A5 or add-on licensing, and endpoint coverage also requires Intune device enrollment. Kitecyber has a single tier with no capability gated behind an upgrade.
Usually not entirely. Purview is the strongest option for data at rest inside Microsoft 365, and most customers keep it for that. Kitecyber is typically deployed to cover the endpoint, the network, non-Microsoft SaaS, Linux and Gen AI enforcement — the areas Microsoft's own documentation places outside Purview's scope.
Compare against something else
Put us next to Microsoft Purview
Run Kitecyber in monitoring mode on a slice of your fleet and compare what each product catches. Thirty minutes to set up, and we will tell you plainly if the incumbent is doing the job.
