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How Tessian Closes Critical DLP Gaps in Microsoft 365

Microsoft 365 provides foundational rule-based DLP and data classification to address compliance requirements. However, Microsoft 365 falls short when protecting against data loss caused by people, such as accidental data loss, and sensitive data exfiltration to unauthorized or personal accounts and insider risks.

 

Tessian augments MS365 with a human-centric, behavioral approach to understand the context of human actions on email, and close critical security gaps that MS365 is unable to address.

 

Download the solutions brief to learn…

 

  • The importance of shifting from a rules-based methodology to a behavioral approach to maximize data protection
  • The fundamental limitations of Microsoft O365 DLP capabilities and how Tessian addresses those challenges
  • More about specific use cases including accidental data loss from sharing emails and attachments to unauthorized parties, exfiltration of sensitive data to unauthorized or personal accounts, and measuring and reporting the impact of human layer risk
How Tessian Closes Critical DLP Gaps in Microsoft 365
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Microsoft 365 provides foundational rule-based DLP and data classification to address compliance requirements. However, Microsoft 365 falls short when protecting against data loss caused by people, such as accidental data loss, and sensitive data exfiltration to unauthorized or personal accounts and insider risks.

 

Tessian augments MS365 with a human-centric, behavioral approach to understand the context of human actions on email, and close critical security gaps that MS365 is unable to address.

 

Download the solutions brief to learn…

 

  • The importance of shifting from a rules-based methodology to a behavioral approach to maximize data protection
  • The fundamental limitations of Microsoft O365 DLP capabilities and how Tessian addresses those challenges
  • More about specific use cases including accidental data loss from sharing emails and attachments to unauthorized parties, exfiltration of sensitive data to unauthorized or personal accounts, and measuring and reporting the impact of human layer risk