A new generation of communications monitoring that is designed to not only flag messages but do so in a way that minimizes total compliance review time. Unlike the legacy archive vendors, Review is an efficient supervisory tool based on risk-rated alerts and purpose-built efficient workflow.
Policy Detection & Risk Scoring
Leveraging detection policies that can be shared with Guide, messages are analyzed for policy risk and flagged for review.
Efficient Alerting Intelligence
Several key features are built into the message alerting functionality to ensure compliance spending less time on unnecessary work and focusing their attention on the highest risk issues.
Instant Message Conversations | Instant Messaging services generally apply the concept of Direct Messages (similar to emails) and Channel/Room based conversations. In both cases Messages are rarely one off and more frequently they are part of a multiple message thread.
Fairwords automatically aggregates conversations into daily batches. This intelligence gives a better view of conversation risk and reduces the workload by enabling compliance to review many potentially flagged messages at a single time. |
Intelligent Deduplication | Group messages can create significant numbers of duplicate messages in traditional archive and communications monitoring when risk is detected. Review automatically recognizes that a message is the same to multiple recipients and will generate only a single alert for review. This saves compliance from performing unnecessary duplicate review work. |
Excluded Text Blocks | Legal disclaimers, COVID notices, and other message boilerplate automatically attached to emails tend to cause significant false positives in some monitoring systems. With Review, compliance can tag this language to be excluded from detection reducing unnecessary flagged messages. |
Automatically Ignore uninteresting Senders | When known marketing, news, and system notifications produce messages that cause false positives it can produce a lot of wasted time. For instance, every Bloomberg or WSJ news alert about an SEC investigation has the potential to be misconstrued as risky since they use problematic language when reporting on investigations.
Review solves this problem by enabling compliance to add these senders to a list to be automatically ignored from detection and review workflow. |
AI-based Noise Detection | Much like AI can be used to detect spam, Review leverages custom-trained AI-based classification models to label messages that have little interest in compliance.
Noise labeling is used in conjunction with Automatic Sender Clearing to identify new sources of news and system messages.
Noise labeling is also useful to ensure that any flagged messages that get forwarded or replied to are easy to spot to reduce unwarranted review time. |
Default Risk Policies
Like Guide, Review enables fast time to value through leveraging a set of default lexicon terms.
Policy Management
Like Guide, policies can be fully customized to meet the specific needs of the organization’s requirements.
Supervisory Review Workflow
All detected communications risk in Review will create flagged messages, aka Alerts, for compliance analysts to review. Supervisory review enables users to track their review progress and captures an audit log of each step.
Unlike other archive applications, Review not only flags messages but also associates a risk assessment based on defined risk policies. These risk levels are used for compliance to perform the most efficient risk-based review process.
Escalations
Critical to the Supervisory review process is the ability to escalate alerts when additional review is required. Assign escalations and comments until a resolution is reached. All escalation activities are audited recording who did what and when.