Varonis Data Security Platform Features

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Administrators can access and organize data related to incidents to produce reports or make data more navigable.

Information on each incident is stored in databases for user reference and analytics.

Produces reports detailing trends and vulnerabilities related to bot management and performance.

Creates access requirements and standards and establishes user, roles, and access rights.

Allows administrators to approve or reject access changes to using defined workflows.

Reduces manual administrative work.

Manages identity information from on-premise and cloud applications.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Uses machine learning to identify at-risk data.

Offers data loss prevention tools to protect data from leaving the environments it is allowed to.

Supports LDAP Protocol to enable access control and governance.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Similifies data identification to increase visibility and management capabilities

Protects data with within and as it leaves your secure or local network.

Analysis for users to examine threat intelligence data specific to their endpoint devices.

Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Provides incident alerts for leaks or breaches and provides capabilities to inform administrators of attacks.

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Discovers where sensitive data resides in SaaS environments and identifies users with access to it

Monitors how sensitive data moves across different applications

Automatically determines the best set of actions to be taken upon detecting SaaS security issues.

Offers dashboards that show information about unauthorized users, potential threats, and remediation actions

Includes funcationality to automatically discover and classify sensitive and other defined data.

Can protect both structured and unstructured data using automated discovery tools.

Includes encryption methods to protect data.

Protects data at rest, in transit, and in use.

Provides data masking functionality that hides specific data within a dataset based on the data's specific use policies.

Provides policies and access controls to ensure the data is only handled by permisssioned users and processes.

Includes audit and reporting functions to know exactly what actions have been taken on data, such as who has accessed it and when.

Offers tools to help administrators visualize the flow of data, whether that be processes or data flows.

Offers machine learning to locate data security risks and make recommendations on how to mitigate those risks.

Allows data to move across multiple platform types and remain protected.

Allows privileges based on roles, such as business unit or other factors.

Configure which events will trigger a notification to prevent privileged access abuse in real-time.

Allows for temporary privileges for a defined task or period of time, to reduce the risk of credential abuse.

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Silently deploys on endpoints without alerting users.

Detects data movement to external USBs or external drives or uploaded to cloud storage or emails and excessive printer-usage.

Tracks activities taken on files or in applications, including save, print, or delete actions.

Sends alerts to administrators when users take insider threat actions .

Maintains active and historical evidence in a searchable format.

Provides risk scoring for suspicious activity.

Provides audit logs for compliance reasons.

Monitors, records, and logs both real-time and post-event activity.

Detects abnormal user behavior to mitigate risks.

Analyzes user writing patterns to determine sentiment changes to identify disgruntled workers.

Continuously monitors misconfigurations in SaaS applications environment

Monitors user permissions settings and flags excessive permissions

Detects and fixes compliance issues with regard to different security frameworks

Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns and fraud indicators.

Provide insights into why trends are occurring and what issues could be related.

Monitors, records, and logs both real-time and post-event activity.

Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Monitors the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Creates a comprehnsive log of all activities when utilizing Privileged Access Management Software software.

Includes reporting functionality.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Allows users to create and review data policies to make them consistent across the organization.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Improves performance based on feedback and experience

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Provide real‑time visibility into data exposures and activities.

Automatically scan across cloud, SaaS, on‑prem environments to locate and tag sensitive data.

Allow business‑specific or regulatory data labels beyond default frameworks.

Identify over‑permissioned users, roles, or accounts in combination with misconfigurations.

Assess data risks against regulatory frameworks and internal policies.

Prioritize findings based on data sensitivity, exploitability, and business impact.

Provide context‑aware recommendations for fixing exposures (e.g., revoke access, encrypt, misconfiguration remediation).

Integrate with CSPM, CIEM, SOAR, SIEM for automated policy enforcement.

Monitor posture over time and track remediation efforts.

Integrate with existing security infrastructure (SIEM, CASB, IAM, DSPM/CSPM/SSPM) to bring AI‑SPM into the wider security ecosystem.

Discover AI applications, agents, chatbots and integrations across SaaS, APIs and other environments.

Support continuous updates to policies and controls as AI‑tool usage evolves and new threats emerge.

Monitor data flows, permissions and resource access associated with AI integrations and tools.

Enforce AI‑specific security policies in real time, such as limiting agent permissions and blocking unauthorized AI activity.

Continuously assess AI integration risks including misconfigurations, policy violations and exposure to external AI services.

Provide dashboards, risk scores and prioritisation for remediation across the AI‑asset estate.

Monitor AI‑generated content for sensitive/regulated information and apply remediation or blocking controls.

Maintain audit logs, governance controls and reporting tied specifically to AI assets, agent behaviours and integrations.