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Enable Risk Analytics & Insights

Understanding and managing data risk is a complex task for many organizations. It is vital that your organization has an intelligent system in place to sense early signs of compromise to the organization's critical data assets by external or internal threat actors. Traditional anomaly detection tools often fall short, focusing on basic anomalies like logins and logouts and missing a broader range of data security events. You need a solution that provides advanced analytics and insights to enforce security policies and access controls.

With Imperva Data Security Fabric (DSF)continuous monitoring, adaptive risk scanning, analytics and insights capabilities, you are able to proactively manage risks, protect existing data infrastructure investments, as well as extend coverage to more data repositories and cloud platforms than ever before.

Risk analytics & insights at scale

Provides broadest coverage across multicloud, hybrid, and on-premises environments

Imperva Data Security Fabric (DSF) can manage risk across all your data repositories.

Consolidated visibility across globally distributed environments (on-premises, in the cloud, multi-cloud and hybrid) to discover ungoverned data repositories, classify data, assess vulnerabilities, and investigate suspicious user activities.

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Protects any data sources and types, across structured, semi-structured, & unstructured

Comprehensive visibility and access to all data types across the data estate.

Imperva Data Security Fabric (DSF) provides a comprehensive and unified view of enterprise data across structured and unstructured data management systems — meaning audit and retention policies are applied consistently everywhere.

Structured data support includes traditional databases, mainframes, data warehouses, and databases hosted in Microsoft Azure, Amazon Web Services, Google Cloud, and more. Imperva DSF will also discover and classify semi-structured and unstructured data formats for Microsoft Office Documents, PDFs, and other commonly used data types found in on-premises network file shares, in big data systems, cloud data lakes, or cloud data repositories — such as Amazon S3 buckets, Microsoft OneDrive, Azure blob storage, or Google Drive for Google Workspace.

Explore protect any data source

Integrates with ecosystem technologies for incident context and additional data capabilities

Use your existing analytic tools with full access to all audit data through a unified service.

Integrations with 3rd-party data analytics tools provide additional options so that any audit data stakeholder in the organization can use their favored search, reporting, or data mining tools such as Tableau. By integrating with such tools, Imperva Data Security Fabric (DSF) can provide visually appealing and actionable reports to security teams, executives, and auditors, facilitating better decision-making and compliance reporting. Tasks that formerly required days to complete can be executed in minutes, saving time, shortening audit cycles, and significantly reducing compliance overhead costs.

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Unified visibility, control, automation & insights

Built-in dashboards and on-demand visualization tools produce a unified view of all audited data assets — no matter where they are located.

Imperva Data Security Fabric (DSF) provides full data activity visibility across your entire organization. Imperva DSF continuously locates all data sources, tracks who has access, and audits what they are doing, so you can easily document that data is appropriately protected and being used as prescribed.

Imperva DSF has built-in interactive dashboards and on-demand Kibana visualization tools that deliver easy-to-understand reports and graphs. APIs enable controlled access by SOC staff, DBAs, forensics professionals, etc., through their favorite tools. Through a single service, you can easily demonstrate compliance and conduct forensics with real-time, interactive, multi-year data exploration.

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Why Imperva risk analytics and insights

Enterprise coverage, speed, and scale

You need to find threats in all your sensitive data sources, whether they are on-premises, in the cloud, or in multiple clouds. This has proved to be too hard and too slow for humans to do, especially as AI-generative attacks are becoming more widespread. Imperva Data Risk Analytics uses automation and machine learning to spot unusual data access and risky behavior among millions or billions of data events that happen every day in organizations. It also learns from the normal behavior of the users, what they usually access, and how they use the data. This helps it to be more accurate over time.

Imperva Data Risk Analytics is part of Imperva Data Security Fabric. It helps you find and stop critical threats to your data. It tells you what you need to focus on and gives you useful insights.

You can investigate and respond to threats faster, even if you don’t know much about the data or the database languages.

AI/ML for all data logs

Engage with time-tested AI/ML behavioral models and UEBA models to detect suspicious data activities; apply modeling, building, and testing of anomalous and bad behavior detection with machine learning algorithms and continuous insider and external threat research.

Group & prioritization

Leverage unsupervised and multi-faceted learning techniques to transform raw activity data from data source logs into valuable information while elevating the security capabilities of your team.

Interpret & translation

Interpret data store events in context revealed while observing unusual user behaviors, access patterns to provide actionable insights. Translate data languages from cryptic SQL statements to actionable SOC insights to streamline business-level and security remediation efforts.

Reduce noise

Overcome alert fatigue by eliminating the high volumes of non-prioritized data alerts that can hinder the effectiveness of SOC teams.

SIEM integration and CMDB cost reduction

Direct critical data risk incidents to your SIEM and leverage your existing ticketing systems and worklfows to reduce cost and time to resolution.

500K+

data stores under protection

19M

alerts reduced daily

23M+

admin hours saved annually

How data risk management at any scale benefits industry

Healthcare relies on secure data and reliable access to it

Imperva delivers end-to-end protection and compliance for critical healthcare data and applications.

Data security for financial services

Imperva protects banks, insurance companies, payments providers, and financial exchanges with data security for on-premises, cloud, or hybrid data stores.

Government cyber protection

Defense-in-depth security for government organizations and agencies. Imperva helps authorities prevent cyber attacks, identify insider threats, and achieve data compliance.

Visibility provides the foundation for our breach detection solution

Thousands of customers worldwide rely on our monitoring capabilities to protect their enterprise data. This visibility provides the foundation for our breach-detection solution

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

Discover ungoverned data, classify all data, and assess vulnerabilities.

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Data Activity Monitoring

Gain complete visibility and ensure compliance with continuous monitoring, auditing and analyzing all data store and data types.

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Data Retention & Archive

Meet any data archiving requirement using the most cost efficient storage technology available.

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Data Risk Management

Detect and report non-compliant, risky, or malicious data access behavior across all of your data repositories enterprise-wide to accelerate remediation.

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Ecosystem Integrations

Enhance the value of your existing technology investments - for both incident context and additional data capabilities.

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Data Encryption & Tokenization

Protect critical data with encryption, key management, and tokenization wherever it resides.

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Static Data Masking

Modify sensitive data so it is of no value to unauthorized users while still being usable by your systems.

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Automated Workflows & Playbooks

Achieve higher scale and increase DevOps efficiency through the use of automated workflows delivered through trusted repositories.

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Sensitive Data Management

Identify, locate, classify, and secure sensitive data across various data stores located either on-premises or in the cloud.

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