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Identity & Access Analytics

Real-Time Access Analytics & Control Automation Using Risk Management and Intelligence


Identity is the new perimeter and securing identities, establishing privileged access policies, and implementing zero trust programs are critical to protect organizations from threat actors. The rise of credential theft, modern day insider threats, and privileged access misuse equates to security teams needing to baseline current access policies, monitor for identity risks and threats, both internal and external, and work cross-functionally for continuous improvement.
One significant challenge for security teams is a lack of understanding of unaccounted for access entitlements. This exposes serious security gaps and identity risks that threat actors can easily exploit to compromise organizations, move laterally, and exfiltrate data. Identity baselining, understanding access privileges and entitlements with subsequent monitoring is critical as part of threat detection, investigation, and response (TDIR). Identity Access Management (IAM) and Privileged Access Management (PAM) can also take advantage of Identity Analytics and Access Analytics to improve their access policies and entitlements.

Identity and Access Analytics


To reduce the attack surface area posed by access, Gurucul Identity & Access Analytics uses a risk-based approach for access requests and approvals to monitor and identify risks and remove excess access, access outliers, and orphaned/dormant accounts.

  • Using big data, gain a true 360-degree view of identity analysis, access, privileged access, usage in the cloud, mobile and on-premises
  • Accurately measure and report user, account, entitlement, application, departmental, and organization risk posture
  • Easily identify unnecessary and unused outlier access for reduced attack surface
  • Centralize governance, visibility, and reporting for access-based risks
  • Run contextual searches on IAM data and use IAM Analytics to mine linked users, accounts, entitlements, and structured and unstructured data
  • Leverage 100+ reports out-of- the-box, with the capability to customize, schedule and automate reports


65% reduction in employee on-boarding time

60% reduction in the need for passwords

60% reduction in manager time during access certifications

58% reduction in business time to review and sign off on new roles

50% reduction in privileged access risk

40% reduction in excess access (accounts & entitlements)



Comprehensively manage and monitor identity-based risks and threats across your organization’s siloed environments.

Deliver the data science that improves IAM and Identity Access Management and Privileged Access Management, enriching existing identity management investments and accelerating deployments. Surpass human capabilities by leveraging machine learning models to define, review and confirm accounts and entitlements for access.

Leverage dynamic risk scores and advanced analytics data as key indicators for provisioning, de-provisioning, authentication, and privileged access management.

Radically reduce accounts and entitlements. Clean up the access plane to enable access only where it should be provided.

Enable Zero Trust initiatives and monitor for least privileged access misuse and violations. Baseline current access privileges and policies and use this to build an effective zero trust program. Continuously monitor for misuse such as insider threats and stolen credentials.



Privileged Access Abuse

Privileged Access Intelligence and Zero Trust Monitoring

Discover, risk rank, and monitor accounts with privileged access for outlier access and anomalous behavior. Find who has privileged access with privileged entitlements that may have escalated after provisioning or exist within applications and unstructured data.

Risky Account Discovery & Cleanup

Risky Account Discovery & Cleanup

Identify dormant and orphan accounts, reduce excess access, and eliminate access outliers. Reduce the risk of orphan or dormant accounts being compromised or misused.

Risk Based Access Certification

Risk Based Access Certification

Reduce rubber-stamping, time spent, and overall risk through outlier certification. Reduce access not associated with job responsibilities and potential account compromise risk.

Risk Based Authentication

Risk Based Authentication

Enable real-time risk-based access policy enforcement of authentication levels for user’s access to systems, devices, and applications.

Dynamic Access & Role Modeling

Dynamic Access & Role Modeling

Enable zero-day provisioning and automated approval workflows for higher risk access by inspecting inlier analytics. Import identities, accounts and entitlements with metadata, trigger risk-based outlier access certifications, and provide closed-loop integration with access certification actions.

SoD Intelligence

SoD Intelligence

Prevent and detect Segregation of Duties (SoD) or toxic combinations of access and their usage. Automatically review existing roles and entitlements across systems and identify inter- and intra-application SoD risks.



What types of data are analyzed in identity analytics?

Identity analytics involves the analysis of various types of data to understand and manage identity-related risks. By analyzing diverse types of data, identity analytics aims to identify patterns, detect anomalies, and uncover potential identity-related risks and threats within an organization’s systems and user activities.

What are some common use cases for identity analytics?

Identity analytics has several common use cases across different industries and organizations. Here are some examples:

  • Identity and Access Management (IAM).
  • Fraud Detection and Prevention
  • Access Governance and Compliance
  • Risk Scoring and Identity Risk Assessment
  • Risk-based Authentication
  • Risk-based Access Certifications
  • Customer Identity and Access Management.
  • Privileged Access Monitoring

What are some common use cases for identity analytics?

Identity analytics empowers organizations with advanced capabilities to monitor, analyze, and manage identity-related risks, leading to improved security posture, regulatory compliance, operational efficiency, and enhanced user experiences.