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Data Risk Management

Organizations need advanced data risk analytics to eliminate the noise and help security staff gain actionable threat insights to accelerate risk mitigation and breach detection

Detect data threats before they become security incidents or breaches

Protecting sensitive data is challenging for enterprise security groups with limited resources and tools. Often it is the group's tools themselves that make data breach detection so difficult. Tools that cannot correctly contextualize alerts overwhelm security staff with an avalanche of mostly "false positives" making it very hard to know what to do or even where to begin. Organizations need advanced data risk analytics to eliminate all the noise and help security staff gain actionable threat insights to accelerate risk mitigation and breach detection.

Top data security guidelines

Investigating data threats through the information that a typical UEBA solution (such as a SIEM) provides often requires pre-knowledge of the accessed data set or deep knowledge of data access languages like Structured Query Language (SQL) to know if any sensitive data has been misused or if users are accessing data inappropriately.
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Lack of guidelines

Unaware of my unknowns.
What rules should the security team establish?

Analytics and Insights

Data prioritization

Unsure which data to monitor/audit.
What data should the security team monitor?

Data Risk Management

Unintelligible data

SQL isn't the security team's forte.
How does the security team interpret data activity events?

Data overload

Too much data

Overwhelmed by system data flows.
How does the security team handle so many data events?

Data security, unleashed

Data Security unleashed
Imperva Data Risk Analytics elevates the security and compliance capabilities of IT and security staff by providing automation, filtering, and insights & actions in plain language that accelerate customers' paths to data security confidence.

Imperva Data Risk Analytics

Do more with less

Imperva Data Risk Analytics (DRA) identifies abnormal user behavior that can lead to bad practices, hostile intrusions, and data compromise. Imperva DRA translates complex technical events into plain language that IT operations teams and security staff members can immediately understand. Imperva DRA provides an intuitive dashboard that provides a prioritized incident summary of questionable events that anyone can click through, which in turn provides a complete description of the threat with actionable intelligence for remediation.

  • Purpose-built analytics using machine learning to detect suspicious data activities
  • Prioritize and group high-risk incidents to elevate team skills via machine learning
  • Interprets data store events and provides actionable insights to accelerate remediation
  • Reduces the count of events to investigate for efficiency and speed
Imperva Data Risk Analytics
Imperva Data Risk Analytics

Prioritize and group high-risk incidents to elevate team skills

Imperva Data Risk Analytics (DRA) prioritizes critical incidents by applying grouping and scoring algorithms that factor in variables such as sensitive data type, privileged account, amount of data involved, and more. Suppose multiple incidents are related (e.g., all associated with the same user account, or multiple users are abusing the same service account). In that case, Imperva DRA groups the incidents into one issue, prominently showing security staff the high-risk incident and suppressing false positive noise.

  • No configuration needed
    Unsupervised learning transforms raw activity data into valuable information – without the need for a DBA
  • Fully automated
    Events are prioritized based on best practices defined using pre-built or custom models – without the need for a data scientist
  • Unique triangulation
    Insights based upon the synthesis of user behaviors, application & API access patterns, and data source context
Security Risk diagram
Security Risk diagram

Our model has been trained on petabytes of data, with algorithms refined over more than a decade

With Imperva Data Risk Analytics and ServiceNow, you can avoid burning out your cyber security employees

Imperva and ServiceNow

In today's world, CIOs and CISOs face a harsh reality regarding the security staff shortage. With the deflating economy, nationalism, cybercrime, and nation-led adversaries, the demand for security personnel has increased, making it challenging for organizations to find and retain skilled security staff.

Customers are also looking for solutions to offload tasks from their security staff, and this is where Imperva DSF Data Risk Analytics (DRA) comes in. With Imperva DSF DRA, most cases related to bad practices and insider threats can be handled and resolved by other non-security teams in the organization. Imperva DSF DRA, when integrated with ServiceNow, can automatically triage data risk incidents to different members or groups like data experts, access experts, direct managers, and database owners who can receive and resolve incidents directly and immediately without expensive human intervention, freeing security specialists to work on high stake data risk issues.

Data Risk Analytics in two minutes

Imperva Data Risk Analytics (DRA) protects enterprise data stored in enterprise databases and file shares from theft and loss caused by compromised, careless or malicious users. By dynamically learning users' standard data access patterns and then identifying inappropriate or abusive access activity, DRA proactively alerts IT teams to dangerous behavior.

How Data Risk Analytics works in Data Security Fabric

Imperva Data Risk Analytics (DRA) protects various user-related security threats via statistical models created and configured directly in Imperva Data Security Fabric (DSF). Imperva DRA User Entity and Behavior Analytics (UEBA) models in the platform detect and flag outlier activity within large datasets and generate automatic alerts as needed.

Preconfigured DRA UEBA models

These detection models can be used to understand how to build automated logic that analyzes audit data from all sources across your data estate. It is possible to clone and customize these pre-configured models to detect user-related security events tailored to your organization. Each preconfigured DRA model represents a different threat vector.

Account abuse

Account abuse

This threat category refers to a broad spectrum of unexpected or suspicious activities by users within an organization, e.g., unusual login activity and unexpected data movement.

Account compromise

Account compromise

This threat category refers to a suspicious activity wherein a third party (inside or outside your company) attempts to gain control of machines within your organization using existing account credentials, e.g., brute force login attempts.

Insider Threats DI

Insider threats

Detects attempts to create accounts with data access privileges to non-existent or unauthorized users.

Code injection

Code injection

This threat category refers to activity related to the injection and execution of malicious code into an application.

Privilege misuse

Privilege misuse

This threat category refers to the misusing or abuse of a user account's privileges.

Fast time to value

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Imperva Data Risk Analytics (DRA) helps security teams detect and pinpoint critical threats to data, prioritizes what matters most, and provides actionable insights—allowing you to accelerate threat investigation and response—even if you don't know much about the data or are conversant in database languages. Imperva DRA does not require you to create policies before it can recognize non-compliant or risky behavior. Purpose-built threat recognition intelligence comes right out of the box, so you can start seeing the benefits and changes in days, not months. Then it continuously tunes and adapts to changing circumstances. Imperva DRA helps you spot and mitigate data breach risks before they become damaging incidents.

Imperva Data Security Fabric protects all data types with a single system that delivers multiple business capabilities

Imperva Data Security Fabric is the first data-centric solution that enables your organization's security and compliance teams to quickly and easily secure sensitive data, no matter where it resides, with an integrated, proactive approach to visibility and predictive analytics.

Imperva Data Security Fabric is composed of cutting-edge orchestrated technical capabilities that work in unison to protect your data across your entire organization:

Data Discovery & Classification

Data Activity Monitoring

Data Retention & Archive

Data Risk Management

Ecosystem Integrations

Data Encryption & Tokenization

Static Data Masking

Automated Workflows & Playbooks

Sensitive Data Management

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