Sensitive data moves through everyday work
Customer records, financial details, employee information, and business documents travel through email, files, and collaboration tools.
Sekurzen Guard · focused data protection
Sekurzen Guard helps teams control sensitive data in everyday collaboration.
A focused DLP product for teams that need to see where defined sensitive information moves and choose a proportionate response.
Start with one important data type and one workflow. Validate the fit in your environment before you expand.
- Microsoft 365
- Google Workspace
- No rip-and-replace
- Start with one priority
Is Guard a practical fit?
Start with the situation your team already recognizes.
You do not need to begin with every policy, workload, or data type. Begin where the business risk and operational value are easiest to see.
A small team has to run the controls
You need clear policies, useful evidence, and response actions without creating a large specialist programme first.
Your current platform still matters
Keep Microsoft 365 or Google Workspace for the productivity, identity, and collaboration capabilities your business already uses.
What changes with Guard
Turn uncertainty into an operating rhythm.
Focused DLP should make everyday decisions clearer for the people who run it and the people whose work it protects.
Unclear movement
See where defined sensitive information is moving and which events need attention.
Inconsistent decisions
Apply an agreed response: audit, warn, block, quarantine, or allow an approved exception.
Scattered evidence
Give operational, governance, and compliance stakeholders a practical record of what happened.
A programme that feels too large
Start with one valuable scenario, tune it, and extend protection when the team is ready.
How Guard works
A repeatable path from detection to improvement.
Guard gives a growing team a practical operating loop instead of treating DLP as a one-time policy project.
Discover
Find defined personal, financial, health, and organization-specific information.
Understand
See the workflow, destination, and context around an event before deciding what happens next.
Act
Audit, warn, block, quarantine, or allow an approved exception based on the policy.
Improve
Review evidence, tune detection, and expand protection as the business learns.
Fits the environment you already have
Add focused protection without replacing what works.
Your platform can continue to provide productivity, identity, collaboration, labels, encryption, or broader governance. Guard can focus on the sensitive-data scenarios that need attention now.
Microsoft 365
Exchange, SharePoint, OneDrive, and Teams.
Google Workspace
Gmail, Google Drive, and sharing workflows.
Before rollout, agree which product warns, blocks, quarantines, guides users, and retains evidence.
Deployment visual
[NEED: approved architecture or product visual]
Use a real Guard view or approved architecture diagram here. No invented dashboard or sample customer data.
Architecture and assurance
Make the control boundary clear before the pilot.
A practical evaluation should show how Guard connects to the collaboration environment, where policy decisions are made, and what evidence the operating team can review. Confirm the implementation and service details for your specific proposal.
Connect
Connect the Microsoft 365 or Google Workspace workloads in scope and define the users, destinations, and data types for the pilot.
Detect
Apply configured detectors and context rules to identify the sensitive information your team has chosen to protect.
Decide
Use an agreed policy response—audit, warn, block, quarantine, or approved exception—per workload and scenario.
Evidence
Review events, actions, exceptions, and response ownership so the team can demonstrate what happened and improve the policy.
Choose a focused first use case
Make the first policy easy to explain and evaluate.
Confirm supported actions and service details for your specific environment during planning.
Email
Customer or employee records sent outside the business
Begin with a defined data type and the external destinations that create the clearest risk.
Focused starting point
Files
Financial documents shared with the wrong audience
Test the sharing action, policy response, approved exceptions, and evidence available to the team.
Focused starting point
Collaboration
Sensitive content moving through everyday teamwork
Focus first on the workload and user journey your business needs to make safer now.
Focused starting point
Validate value in your environment
Run a focused pilot before you scale.
Use representative synthetic data, destinations, exceptions, and user journeys. Compare the same scenarios across every shortlisted option so the result is meaningful.
Measure what determines a workable fit
- Detection accuracy and false positives
- Correct warning, blocking, or quarantine actions
- Administration and response effort
- Evidence quality and user experience
Use the result to tune the first policy, compare incremental cost, and decide what to protect next.
Security and trust
Review the evidence before you approve a pilot.
Product-specific security materials are not published here yet. We will link the approved trust content when it is ready.
[NEED: security and trust content, including deployment boundary, access controls, data handling, logging, support, and service commitments]
Public policies
Start with the published baseline.
These pages explain the Resource Hub terms and privacy practices. They are not a substitute for product-specific assurance material.
Pricing and availability
Early access is the next step.
Pricing and packaging are not published yet. Request early access to discuss the workload, data type, and pilot outcome you need to validate.
Request early accessCommercial detail
[NEED: pricing and packaging]
Add approved pricing only after the commercial model is final.
Optional implementation support
Need help preparing the pilot? Ask about scoped setup support after the product fit is clear.
Contact
Tell us what you need to protect first.
Share the collaboration environment, sensitive-data scenario, and pilot outcome you want to evaluate.