Enforce data loss prevention policies in Workday
McAfee enforces DLP policies across data at rest and in motion to ensure compliance with regulations and internal policies. McAfee supports DLP rules based on keywords, data identifiers, user groups, and regular expressions. Enforcement actions include coach users, notify administrator, block, encrypt, quarantine, tombstone, and delete. Leverage pre-built industry templates, create custom policies in McAfee, or leverage policies in an existing on-premises DLP solution.
Unified DLP Reporting and Remediation
McAfee reports on DLP violations in Workday 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 owned by the enterprise, not in McAfee’s platform, for added security.
Deep Integration with On-Premises DLP Solutions
With McAfee you have the option of leveraging our best-in-class DLP engine or the policies in your existing on-premises solution including McAfee DLP, Symantec DLP, Forcepoint DLP, and more. McAfee optionally performs a first-pass content inspection, brokers inspection by the on-premises solution, acts as an enforcement point to apply policies to data in the cloud, and registers enforcement in the on-premises solution that maintains the policy.
Detect internal and external threats
Insider and Privileged User Threats
McAfee automatically constructs a behavior model with dynamic and continuously updated thresholds for each user and team to identify activity indicative of insider threat, whether the threat is accidental or malicious. Privileged User Analytics identifies risk from dormant administrator accounts, excessive permissions, and unnecessary escalation of privileges and user provisioning.
McAfee detects compromised account activity in Workday based on brute force login attempts, logins from new and untrusted locations for a user, and consecutive login attempts from two locations in a time period that implies impossible travel, even if the two logins occur across two cloud services. Darknet Intelligence reveals user accounts for sale online that are at risk of compromise.