CurrentWare Data Loss Prevention vs Worklytics

CurrentWare Data Loss Prevention is endpoint software for controlling device, website, application, and AI-tool risks while monitoring file transfers and retaining audit evidence in one console. Its agent monitors copying, pasting, printing, screen capture, and writes to removable media, including when endpoints are outside the corporate network. AccessPatrol can block, allow, or make read-only access for storage and connection types such as USB, external drives, SD cards, Bluetooth, Wi-Fi, and mobile devices. File logs can include the user, machine, time, filename, and destination for files copied, moved, renamed, or deleted. BrowseControl and AccessPatrol can block transfers to unmanaged cloud apps. Endpoint clients support Windows, macOS, and Linux; the console can be hosted in CurrentWare Cloud or on a customer server. Plans list AccessPatrol (Standalone) at $12 a month, billed annual, and the Full CurrentWare Suite at $20 a month. A 14-day trial is available, but there is no free plan. Subscriptions include updates and direct support.

Worklytics provides workplace analytics for organizations seeking to improve productivity, collaboration, and AI adoption. Its connectors process work activity data into aggregated metrics and network graphs; the company says it generates and pushes more than 400 metrics. Pre-built dashboard reports and visualizations are available without technical setup, with integrations including Slack, Microsoft Teams, Zoom, Google Calendar, Outlook, GitHub, GitLab, Jira, Asana, Salesforce, and AI tools. Worklytics says it strips personal identifiers at ingestion, reports results for groups or teams of at least eight, and does not process or store work or message content. The Free plan is free and covers up to 100 users, calendar data only, 30 days of history, dashboard access, and basic meeting insights. Business is $2,500 a month, with up to 200 users, five integrations, and three months of history. Enterprise pricing is custom; listed features include predictive analytics, advanced benchmarking, data pipeline access, and row-level datasets.