Veritas Alta™ Surveillance User Guide
- Introducing Veritas Alta Surveillance
- Getting started
- Working with dashboard widgets
- Managing employee groups
- Managing departments
- About departments
- Understanding the Departments page
- Searching departments
- Creating departments
- Moving existing departments under other departments
- Adding monitored employees and employee groups to departments
- Editing monitoring policies
- Editing department details and monitoring policy
- Managing exception employees
- Designating employees as exception employee
- Assigning further exception reviewers to an exception employee
- Removing exception status
- Removing exception reviewers
- Managing department users
- Managing department-level searches
- Managing department-specific hotword sets
- Managing department-specific labels
- Managing department-specific trash rules
- Managing department-specific allowlist rules
- Managing department-specific review comments
- Viewing employees associated with departments
- Managing users, roles, and permissions
- Managing application-level searches
- Managing application-specific hotword sets
- Managing application-specific labels
- Managing application-specific trash rules
- Managing application-specific allowlist rules
- Managing application-specific review comments
- Managing data requests
- Managing search schedules
- Managing export operations
- Managing reviews
- About reviewing with Alta Surveillance
- Limitations on reviewing certain types of Skype for Business content
- Understanding the Review page
- Changing the Preview pane position
- Rearranging columns in the item list pane
- Filtering the items in the Review pane
- Viewing dynamic review item counts on the calendar
- Reviewing searched items
- Adding or removing text for machine learning
- Assigning review status to items
- Viewing hotwords highlighting
- Viewing hotwords in collaboration message
- Viewing tags highlighting
- Viewing predicted labels of review items
- Viewing the full content in a new window
- Adding comments to items
- Escalating the review items
- Applying labels to items
- Viewing history of items
- Printing and downloading the items and attachments
- Viewing Intelligent Review Details
- Working with reports
- About Alta Surveillance reports
- Predefined reports
- Enhanced reporting
- Configuring a reporting endpoint
- Authentication
- Departments API
- Users API
- UserRoles API
- Roles API
- ItemMetrics API
- ReviewerMapping API
- MonitoredEmployees API
- Evidence Of Review By Dept Async API
- Report Status API
- Evidence of Review by Department API
- Supported OData query options
- Supported reporting endpoint API filters and their values
- Responses
- Managing Power BI templates for reporting APIs
- Guidelines for using Alta Surveillance templates with Microsoft Power BI Desktop
- Configuring Microsoft Power BI Templates for Reporting APIs
- TEMPLATE - Item Metrics
- TEMPLATE - Reviewer Mapping
- TEMPLATE- Evidence Of Review By Department - Submit report request
- TEMPLATE- Evidence Of Review By Department - View report data
- Saving, editing, and refreshing the Power BI reports
- Managing Audit Settings
- Working with Audit viewer
AI-based label predictions support for efficient review process
Veritas Alta Surveillance introduced the feature that uses Artificial Intelligence (AI) to predict labels for new items by analyzing how reviewers previously assigned labels to their review items.
To enable AI-based label predictions at both the department and application levels, labels need to be activated, and the option must be selected. For AI predictions, only 20 active labels (including single choice group labels) can be enabled per department or at application level.
Refer to the sample image below to see where you can enable this feature in the application.
Select a department, go to the tab. The column displays if the labels, label groups, and a single choice label groups are AI-enabled.
Deactivating a label or label group disables AI predictions for that label or label group.
For more information on enabling AI-based label predictions and viewing predicted labels, refer the below mentioned sections.