Unified DLP reporting and remediation
McAfee reports on DLP violations in Dropbox and other cloud services in a unified interface with highlighted excerpts revealing the exact content that triggered the DLP policy. During review, if a file does not violate a policy, the reviewer can rollback the remediation action to restore the file and/or its sharing permissions. Quarantined files are stored in a secure account within Dropbox, not in McAfee’s platform, for added security.
Analyze sharing and enforce collaboration policies
McAfee audits collaboration activity and visually summarizes all sharing events within the organization, with partners, with personal emails, and via untraceable shared links. Secure Collaboration enforces collaboration policies based on sharing activity and document content and can take action by modifying permissions and revoking links.
“McAfee allows us to extend DLP outside the perimeter and into the cloud and the user experience is seamless.”
“In an environment with millions of unique events each day, McAfee does a nice job of cutting through the noise and directing us to the areas of greatest security concern.”
“When IT can bring the audit committee and executive members together and they are comfortable using the cloud, it is huge. McAfee is mitigating and lowering risk. It's a fact.”
“We’re seeing both costs and risk go down as a result of our work with McAfee.”
Make Dropbox your corporate standard
McAfee identifies all file sharing and collaboration solutions that employees use in place of the corporate standard, Dropbox, and provides a risk rating for each service. Using McAfee, you can enforce risk-based governance controls and coach users to Dropbox to improve collaboration while also reducing cost and risk.
Shadow IT Discovery
Discovers all shadow IT cloud services employees are using in place of the corporate standard, Dropbox.
Coaching and Enforcement
Displays just-in-time coaching messages guiding users from unapproved services to Dropbox and enforces granular policies such as read-only access.
On-Demand Data Scan
Identifies sensitive data stored at rest in Dropbox with the ability to target scans based on date range, user, sharing status, and file size.
Identifies all users and groups accessing Dropbox and reveals which users are accessing sensitive data.
Visually summarizes sharing with third-party business partners, personal emails, and internal users and reports on policy exceptions.
Cloud Data Loss Prevention
Enforces policies based on data identifiers, keywords, user, and structured/unstructured fingerprints across data at rest and uploaded or shared in real time.
Enforces external sharing policies based on domain whitelist/blacklist and content and educates users on acceptable collaboration policies.
Provides coach user, notify administrator, block, apply rights management, quarantine, tombstone, and delete options and enables tiered response based on severity.
Structured Data Fingerprinting
Fingerprints billions of unique values stored in enterprise databases and systems of record and supports exact match detection of each value.
Unstructured Data Fingerprinting
Fingerprints sensitive files and detects exact match and partial or derivative matches with a policy-defined threshold for percentage similarity to the original.
Policy Violation Management
Offers a unified interface to review DLP violations, take manual action, and rollback an automatic remediation action to restore a file.
Displays an excerpt with content that triggered a DLP violation. Enterprises, not MVISION, store excerpts, meeting stringent privacy requirements.
Pre-Built DLP Templates
Provides out-of-the-box DLP templates and a broad range of international data identifiers to help identify sensitive content such as PII, PHI, or IP.
Closed-Loop Policy Enforcement
Optionally leverages policies in on-premises DLP systems, enforces policies, and registers enforcement actions in the DLP system where the policy is managed.
Delivers a threat dashboard and incident-response workflow for insider threats, privileged user threats, and compromised accounts.
Cloud Activity Monitoring
Provides a comprehensive audit trail of all user and administrator activities to support post-incident investigations and forensics.
User Behavior Analytics
Automatically builds a self-learning model based on multiple heuristics and identifies patterns of activity indicative of a malicious or negligent insider threat.
Account Compromise Analytics
Analyzes login attempts to identify impossible cross-region access, brute-force attacks, and untrusted locations indicative of compromised accounts.
Privileged User Analytics
Identifies excessive user permissions, inactive accounts, inappropriate access, and unwarranted escalation of privileges and user provisioning.
Identifies and blocks known signatures, sandboxes suspicious files, and detects behavior indicative of malware exfiltrating data via cloud services and ransomware.
Provides human input to machine learning models with real-time preview showing the impact of a sensitivity change on anomalies detected by the system.
Information Rights Management
Applies rights management protection to files uploaded to or downloaded from Dropbox, ensuring sensitive data is protected anywhere.
MVISION Cloud Connector
Connects to cloud services via cloud provider APIs to provide visibility and enforce security and compliance policies for all users and cloud-to-cloud activity.
MVISION Enterprise Connector
Facilitates integration with firewalls, proxies, SIEMs, directory services via LDAP, on-premises DLP, HSMs, and EMM/MDM solutions and tokenizes sensitive data.
Integration with On-Premises DLP
Provides integration and closed-loop remediation with existing on-premises DLP solutions such as Symantec, Intel McAfee, and Forcepoint.
Integration with SIEMs
Collects log files from SIEMs and provides the ability to report on incidents and events from MVISION in SIEM solutions via syslog and API integration.
Integration with IRM
Integrates with leading information rights management systems to enforce existing policies across sensitive data.