So that is a bit of a title. What’s that all about then? Login journey’s, especially from a consumer identity and access management (CIAM) or digital identity perspective have become must more complex. Fine grained authentication has started to take over the linear biometric and MFA (multi-factor-authentication) approaches, where multiple pieces of non-identity contextual data is augmented to the original identity, through powerful choice and matrix flows.
This augmentation process, helps to deliver two really powerful use cases.
So what is personalisation referring to, in the CIAM login landscape? CIAM projects are focused on bringing service providers, who are delivering the latest “killer app” / API / product (delete as applicable) to market as quickly as possible, considerably closer to their user community, through one-click social registration, single data views and friction free login. The bi-directional benefits of CIAM, are to deliver better sign up and sign in services for end users – coupled with better data sharing and consent management – as well as fresher data, better analytics and increased trust from a service provider perspective.
The personalisation aspect, is referring to making the user login process responsive – which is going to include everything from user interface, theming and data presentation, right through to pro-active notifications and changes.
The new fine grained authentication in ForgeRock Access Management 5.5, allows all of the non-identity contextual data captured through default login interactions, to be simply made available to downstream protected API’s and applications, via assured session properties. Those properties are time boxed and dynamic – changing with every interaction, giving the application the ability to dynamically respond to the presented user, even if the credentials
|Fine Grained AuthN Trees in AM 5.5|
The benefits are a very simple way to capture and release data to the calling application, all using simple REST endpoints that have been available for several years.
So personalisation is a significant benefit to service and application owners, but about leveraging that data from a security perspective?
Well the same data can be used to perform several security related actions.
A simple action when presented with numerous different pieces of information, could be to trigger audit or information capture. Simply using decision nodes within the fine grained authentication tree, basic if/else/switch style gates can be used to pump data to 3rd party tracking or SIEM solutions.
Triggers for Additional Steps
A simple response to the contextual data, that was also leveraged during the authentication chains approach, was to trigger an MFA event based on the previous steps. For example, if the credentials entered, event if correct, but were found to be coming from a previously unknown device – or perhaps via an untrusted device – thinking things like Chrome browser extension version vulnerabilities, or the NHS WannaCry attack on specific Microsoft OS’s – could trigger a step up authentication step or perhaps redirect to a cleansing network.
|Contextual Data Via Session Properties|
Redirection and Banning
A common “trick” often used on social networks, is the act of “ghost-banning”. This process, allows users of a system – sometimes malicious, sometimes just in breach of certain terms of service – to be allowed into a system, but then given a minimal set of functionality, or perhaps redirected entirely to a functionally similar system, but on a separate “honey-pot” style network. The reason? To allow the service owner a fine grained way of tracking behaviour, improving system response and learning about malicious activity.
So the net-net? We know that MFA and linear based approaches to authentication and login are not enough. Not enough from a malicious activity perspective, but also not enough from a deep personalisation standpoint. Fine grained authentication trees, where end user choice and greated administrative control and integration and delivering much more powerful login use cases in the CIAM space.