
Microsoft 365 Data Security Check
Identify Exposure, Gauge Impact, and Take Informed Action
Maximize Your Data Security
of Data Analyzed and Protected
Proactive Security Teams Turn to Lighthouse
As controls and access are decentralized, knowing the risks inherent with your enterprise data across your M365 deployment becomes crucial.
Lighthouse can help:
Understand the risks introduced by dark organizational data
Uncover potential insider threats
Assess your environment against data protection standards
Provide an analysis report on identified risks
Explore recommendations and next steps
Evaluate benefits of M365 risk mitigation tools
Understand the Risks Introduced by Dark Organizational Data
Learn About Potential Insider Threats
Assess Your Environment Against Data Protection Standards
Receive an Analysis Report on Identified Risks
Explore Recommendations and Next Steps
Learn About M365 Risk Mitigation Tools

Proactively Plan for Data Loss Prevention
Lighthouse identifies exposed sensitive data and delivers actionable steps to reduce risk and strengthen compliance.
- Proprietary Environment Scan
- Security Check Report with Findings and Insights
- Actionable Risk Mitigation Recommendations
- Long Term Compliance Strategy Recommendations
Learn how to leverage your Microsoft Purview investment for Data Protection
What Our Pharma Clients Are Saying
Sensitive Data Identified with a Single Scan
140,000 in Microsoft Teams
52,000 in Microsoft SharePoint
10,000 in Microsoft OneDrive
A multinational energy company with 2TB of sensitive data spanning Teams, SharePoint Online, and OneDrive was struggling to locate this data, in order to understand overall exposure and mitigate risk. They partnered with Lighthouse to scan their enterprise environment and protect their data.
See how we did it
FAQs
What are common data security risks in Microsoft 365 that organizations overlook?
Some of the most overlooked risks include over-permissive sharing, ungoverned personal OneDrives, unclassified sensitive data, and insider misuse. Many organizations also underestimate the impact of shadow data—files that exist outside of known retention or access policies. Without visibility into these risks, it's difficult to enforce compliance, detect threats, or respond to incidents. Microsoft Purview’s data protection tools, combined with expert-led analysis, can help you surface and address these blind spots.
How do I know if my Microsoft 365 environment is exposing sensitive data?
Many organizations struggle to monitor how sensitive data is shared, accessed, or stored across Microsoft 365. Files containing financial records, customer data, or intellectual property can end up in personal OneDrives, unprotected SharePoint folders, or shared externally without proper controls. Microsoft Purview provides tools to classify and surface this information, but uncovering exposure often requires a centralized view across workloads. A structured data security assessment can help you identify high-risk areas and prioritize remediation efforts.
What’s the best way to get started with data protection in Microsoft 365?
Start by discovering where your sensitive data resides. Lighthouse uses it proprietary Enterprise Scan to provide this service. Then, prioritize risks and deploy appropriate policies such as DLP, sensitivity labels, and insider risk rules. Many organizations benefit from a structured assessment to guide this process.
What tools in Microsoft 365 help protect sensitive data from leaks or misuse?
Microsoft 365 includes tools like Microsoft Purview Data Loss Prevention (DLP), sensitivity labels, and Insider Risk Management. These features help monitor, classify, and restrict the sharing of sensitive data across email, cloud storage, and collaboration platforms.
What’s the difference between sensitivity labels and DLP in Microsoft 365?
Sensitivity labels apply persistent protection—such as encryption and access restrictions—to files and emails. DLP policies, on the other hand, monitor and block risky actions (like sharing or transferring sensitive data) based on policy rules. They work best when used together.
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