Commvault, a Tinton Falls-based leader in unified resilience at enterprise scale, announced new data security and threat hunting capabilities for Microsoft 365.
According to Microsoft, the Microsoft 365 platform has over 450 million paid commercial seats worldwide. Bad actors often target emails, attachments, and shared files associated with the SaaS application.
Commvault is helping Microsoft 365 customers advance resilience in the following ways:
- Discover sensitive data: Map where sensitive data, including personally identifiable information (PII) and intellectual property, resides across Microsoft 365 with Commvault Data Posture 360 (previously Risk Analysis) and surface exposure risks to help prioritize response.
- Hunt for hidden threats: Uncover malware, ransomware, encryption activity, data anomalies, and other indicators of compromise across protected Exchange, OneDrive, SharePoint, and Teams data with Commvault Threat Scan.
- Know what’s safe to restore: Use threat signals to isolate compromised content and identify clean, trusted recovery points. This helps recover only known-good data, reduce reinfection risk, and accelerate recovery of Microsoft 365 data.
- Broaden threat discovery: Apply current threat intelligence to historical backup copies in immutable storage to detect threats that may have been unknown or undetected when the data was originally protected.
“Commvault is bringing three key elements to the resilience equation with Microsoft 365: detection, visibility, and clean recoveries,” said Pranay Ahlawat, Commvault’s Chief Technology and AI Officer. “Resilience and compliance depend on identifying threats fast, understanding if sensitive data is exposed, and what’s safe to restore.”
Threat Scan and Data Posture 360 for Microsoft 365 are both planned for early access preview in the coming weeks, with general availability targeted for early 2027.
Both capabilities will be offered as paid add-ons to Commvault Backup & Recovery for Microsoft 365. Customers can purchase either capability independently.
