Interested in helping us shape the future of this product? Request an invitation to the ForgeRock AI Risk Engine Early Access Program today. We’re excited to invite customers in to gather feedback and help shape the future of the ForgeRock AI Risk Engine. The ForgeRock development and data science teams will work closely with all EA participants. For the latter, we will ingest participant’s ForgeRock platform data, identify anomalies and work together to identify threats and risks and train the AI.
#Score risk engine plus
There are 2 paths in our EA program - a design advisor path, and a design advisor plus data provider path. The ForgeRock team is currently working with a select group of customers willing to provide valuable feedback and influence our roadmap. Visualize anomalies and risks for better view into access decisioning.If you are interested in finding out how Mhio can provide a solution please see. Leverage the power of ForgeRock Intelligent Authentication to orchestrate risk journeys by integrating Trust Network nodes and adaptive risk nodes with the AI Risk Engine. The risk engine supports multiple risk prediction models.Respond with remedial actions like step-up authentication or blocking the user when appropriate.Identify and detect outliers and anomalies and provide a risk score.Today the ForgeRock AI Risk Engine has the ability to: The program is focused on customers interested in continuous behavioral based risk, threat and anomaly detection. The AI Risk Engine seeks to improve user experience, while enhancing security for users (both consumer and workforce). The lowest score is 0, which means that the situation is safe. The scores from various policies are combined using a policy set level scoring engine. ForgeRock is excited to launch the Early Access (EA) program for the ForgeRock AI Risk Engine. The user can configure a scoring engine that is used to combine the scores of the rules in a policy and assign a score to the policy.
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