OpenText Behavioral Signals

What OpenText Behavioral Signals is

OpenText Behavioral Signals is web software for identifying unusual behavior across a broad set of digital entities and activity sources. Its entity coverage includes users, hosts, applications, network traffic, and data repositories, allowing the product’s stated scope to span people, systems, software, communications, and stored information. Anomaly detection uses machine-learning-based methods to identify behavioral deviations. The product also supports automated response, so specified reactions can occur automatically when its detection and response capabilities are applied. Deployment is hybrid, combining the deployment model stated for the product with its web platform. OpenText offers the software on a paid basis, and pricing is available on request. OpenText was founded in 1991 and is headquartered in Waterloo, Ontario, Canada. Buyers can assess it as a behavioral-signal and anomaly-focused product for environments where monitoring multiple entity types and automating responses are central requirements.

Who it suits

It suits organizations monitoring behavior across users, hosts, applications, network traffic, and data repositories. It is also aimed at teams that want machine-learning-based anomaly methods and automated response in a hybrid deployment.

Getting started

1. Visit the OpenText Behavioral Signals website
2. Request pricing from OpenText
3. Use the web platform
4. Plan a hybrid deployment
5. Configure coverage for users, hosts, applications, network traffic, and data repositories
6. Enable anomaly detection and automated response

Verdict

Choose OpenText Behavioral Signals if you need behavioral monitoring across varied entities with machine-learning-based anomaly detection and automated response. Its hybrid deployment can fit environments requiring that model. Look elsewhere if you need transparent pricing.