KuppingerCole Report
Executive View
By Mike Small

Gurucul Predictive Risk Analytics

Gurucul Predictive Risk Analytics provides an interesting approach that combines access governance, risk management and the detection of cyber threats. Unlike other solutions that focus on network traffic or technical vulnerabilities this solution focuses on identity, access and user activity to detect and prioritize risk.

1 Introduction

Detecting and managing attacks on IT systems is a serious problem. Cyber criminals are using increasingly sophisticated techniques to infiltrate organ ...

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2 Product Description

Gurucul solutions was founded in 2010 in Los Angeles CA where it is a privately held company.

Gurucul predictive risk analytics uses advanced machin ...

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2.1 Predictive Identity Based Behaviour Anomaly Engine™

Gurucul’s products are built on an analytical framework called Predictive Identity Based Behaviour Anomaly EngineTM (PIBAE). PIBAE uses identity as ...

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2.1.1 Access Analytics Platform™ (AAP)

This enables risk based compliance and access provisioning including:

  • A real time contextual view of identities, access and activities.
  • Identity ...
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2.1.2 Cloud Analytics Platform™ (CAP)

This provides visibility of cloud access and related anomalies including:

  • Visibility of activities and access to cloud apps related to identities. ...
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2.1.3 Threat Analytics Platform™ (TAP)

This provides behaviour based predictive risk scoring:

  • A risk scored time line to detect and predict insider and advanced persistent threats.
  • Id ...
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2.1.4 Multiple Dashboards

The above three platforms, when integrated together, provide multiple dashboards to identify and manage threats as well as to remediate abnormalities. ...

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2.1.5 Deployment Options

The products can be deployed in a number of ways, an interruption of service is not required and they work with existing infrastructure:

  • GRA appli ...
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2.2 Essential Characteristics

Gurucul Predictive Risk Analytics provides functionality that spans Access Governance and Security Intelligence. This section compares the functionali ...

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2.2.1 Access Governance

Access Governance is concerned with providing the answers to three key questions:

  • Who has access to what?
  • Who has accessed what?
  • Who has gr ...
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2.2.2 Multiple sources of data

Gurucul Risk Analytics consumes data from multiple technologies such as HR Systems, Identity & Access Management solutions, log aggregators, applicati ...

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2.2.3 Access Analytics

The analytics platforms are built upon Gurucul’s patented machine learning models (150+) that run against hundreds of attributes to build a behaviou ...

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2.2.4 Security Intelligence

Access governance provides an important foundation for security intelligence. Cyber-criminals now exploit human and technical weaknesses to infiltrate ...

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2.2.5 Automated response, remediation and recovery

Gurucul Predictive Risk Analytics includes a workflow capability to manage the remediation of detected anomalies and risks. This covers both the adjus ...

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2.2.6 Scalability

The potential volume and rate of data that a security analytics tool has to deal with is enormous – scalability is therefore very important. Gurucul ...

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2.2.7 Integration

Gurucul Risk Analytics consists of a set of integrated platforms that work together “out of the box”. It provides connectors to ingest data from a ...

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3 Strengths and Challenges

Gurucul Predictive Risk Analytics provides an interesting approach that combines access governance, risk management as well as the prediction and dete ...

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