How the Intelligence Engine works
It’s our Intelligence Engine that enables us to deliver a seamless, secure identity solution for customers or employees. It collects thousands of data points including behavioral, device, locational and telecoms to correlate identity traits and combines this with threat analysis information such as malware, to ensure that this data has not been compromised. This data is then analyzed using advanced machine learning and intelligence models to deliver a confidence score that the user is who they say they are when making a transaction.
The Intelligence Engine works from the first interaction, getting richer with every subsequent interaction to build a unique identity profile for every user. We analyze each transaction against recognition and trust:
Identification based on Recognition & Trust
First up, the Intelligence Engine is looking for recognized characteristics across device, location and behavior. The idea being that these characteristics should be consistent with the known user identity profile. The Engine is asking questions like: Is this the device the user normally uses? Is the transaction being attempted within a regular vicinity? Do the keystrokes, mouse, swipe etc. fit within the user’s normal pattern? And so on.
The Intelligence Engine then looks at how trustworthy this information is, conducting ongoing passive analysis across various data points, learning the detailed nuances of each user profile. Meaning our technology can account for typical differences at certain times of the day or days of the week. To do this, it looks for threats like malware, as well as location or device inconsistencies (or anomalies) and verification of details using our Telecoms Intelligence (i.e. SIM swap and call divert). It considers how many characteristics across device, location and behavior are recognizable – and to what to degree.
Using statistical modeling, advanced machine learning and deep learning techniques, the Intelligence Engine then determines how likely it is that someone is who they say they are, so that the Policy Engine can deliver the appropriate authentication journey. This level of intelligence is all about enabling passive authentication as much as possible and only calling for active authentication when appropriate or required.
Advantages and Capabilities
Most solutions tend to calculate risk from a single perspective, i.e. location or device. Our Intelligence Engine examines risk holistically, applying AI and machine learning techniques to thousands of data points including behavioral, device, locational and telecoms. Reducing the need for multiple vendor solutions.
Built in Privacy
Our algorithms work on minimal data points to identify users. This means there’s no need for continuous authentication (or what many consider as surveillance) of every aspect of user’s journey. Allowing you to build trust with your users whilst delivering best in class security.
Using our Feedback API, authentication results can be passed backed through to our Intelligence Engine, helping you improve processes, reduce false positives and garner a better understanding of your user’s behavior.
Third-party data sources
Whether it’s physical access information, list management or your own inhouse data. The Intelligence Engine can integrate with third-party sources to ensure you are making decisions based off all available data.
Each identity profile is unique
We look at our data in modalities of device, location & behavior, before combining them using flexible weightings for each modality based upon its significance, such as when “unique” behavior is recognized.
By considering multiple data points during our predictions and analyzing those in combination, we can build up a unique identity profile for each of your users, spotting relationships between data points that traditional vendors would not.
A single API interface allows for quick implementation and utilization of the platform. With the same integration, you can manage both organizational and individual instances of the Callsign platform & modules. Flexible enterprise security restriction policies provide organizations with a range of options to secure connections to the Callsign Platform including IP restriction and mutual TLS.
Discover how intelligence can help improve both security and save you money
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Find out more about our other modules
Decisioning, Journey Mapping & Orchestration
Tasks such as decisioning, orchestration and policy management are all taken care of in one central location. Using our easy to use dashboard, teams from across the organization can build and test natural language policies that adapt in real time to contextual intelligence.Learn more
Artificial Intelligence powered Real-Time Analytics
Our intelligence engine uses multiple data points across device, location & behavior to deliver one confidence score, telling you how likely it is that someone is who they say they are. If the confidence score is high, you can safely reduce friction – and if it’s not, authentication is dynamically adjusted.Learn more
Identify users with our Multifactor Authentication
We deliver multifactor authentication that is fit for both security and compliance needs. Using both active and passive data points to identify users our technology typically reduces authentication steps by over 90%.Learn more