Identity Intelligence & Analytics

Using intelligent monitoring and analytics to predict and avoid threats is sweeter than 3.14159265359…

CyberSolve can implement solutions for your organization to gather, report, and manage critical identity and access information regarding who is accessing what and why. This will allow your organization to move from a detective, after the fact, security model to a preventative, predictive, and prescriptive security model.

We want to stop the bad actors before they take the bad action.

Identity analytics is the discipline that applies science to identity and access data to provide insights for making better Identity & Access Management (IAM) decisions. Identity Intelligence & Analytics (IIA) tools enable organizations to take a contextual, dynamic, risk-based approach to IAM. With identity analytics, the organization can bridge the gap between administrative controls and runtime access, add context and risk awareness to access decisions, and continuously monitor, detect, and remediate malicious behavior. 

A simple example of this concept is accessing a protected resource from a recognized device or an unrecognized device. IIA tools can identify when a user is attempting to access a resource from an atypical or prohibited location. IIA tools can then monitor for unusual user behaviors and, through adaptive access management, take immediate action to halt improper actions. 

Identity analytics is not an all-or-nothing technique, but an evolving set of tools. Incorporate identity analytics techniques as part of a layered approach to solving your more difficult and subtle IAM challenges.

The Integration of Monitoring & Analytics

By integrating intelligent monitoring and analytics, Identity Intelligence & Analytics (IIA) can resolve immediate threats and improve ongoing provisioning and governance by applying predictive analytics to the identity and access data in the organization. This includes:

  • End-to-end visibility of access relationships through continuous scans of all users nested and inherited access relationships. Identity Intelligence applications can provide a graphical, end-to-end access map of users including the ability to see not only what access users have but how they have attained it; 

  • Dynamic and real-time calculation of IAM-related risks and changes as users, their access rights, the applications used, and other IAM assets change. Risk scores per user can be calculated with an assigned risk level and likelihood of an event occurring; and,

  • Remediation actions including re-provisioning and de-provisioning access certifications can all be completed directly from the analytic application.