McAfee Mvision Cloud

Data Security for the Cloud Era

Detect

Gain complete visibility into data, context, and user behavior across all cloud services, users, and devices

Protect

Apply persistent protection to sensitive information wherever it goes inside or outside the cloud.

Correct

Take real-time actions deep within cloud services to correct policy violations and stop security threats.

Key Use Cases

Enforce data loss prevention (DLP) policies across data in the cloud

McAfee’s content engine automatically classifies sensitive information and enforces controls to remove or quarantine it in the cloud while also preventing data loss via cloud-based email and messaging.

Prevent unauthorized sharing of sensitive data with the wrong people

Detect granular file and folder permissions, including all owners, editors, and viewers, and enforce collaboration policies in real time by downgrading or removing permissions and revoking links.

Block sync/download of corporate data to personal devices

Use contextual access information, including device operating system and management status to enforce access policies that prevent the download of sensitive corporate data to untrusted devices.

Detect compromised accounts, insider threats, and malware

Leverage machine learning to build behavior models that detect active account compromise and insider threats, and apply signatures and sandboxing to identify malware in the cloud and stop threats.

Encrypt cloud data with encryption keys that only you control

Encrypt your sensitive data in the cloud using encryption keys you control while preserving functions such as search. No third parties, not even the cloud provider, can access your encrypted data.

Audit and tighten the security settings of cloud services

Monitor and audit the security configuration of cloud services and get suggested modifications to improve your security posture based on industry best practices, such as auditing and tightening user permissions.