Cyberhaven Features

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.

Documents access and alterations of the database for analytics and reporting.

Unveils data connected to infrastructure and applications used to help manage and maintain compliance within complex IT systems.

Supports LDAP Protocol to enable access control and governance.

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.

Protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.

Manages policies for user data access and data encryption.

Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.

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

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

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.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Monitors data quality and send alerts based on violations or misuse.

Allows for reporting and documentation of individual user behavior and privileges.

Uses machine learning to identify at-risk data.

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

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.

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.

Records video or screenshots of endpoint sessions.

Logs keystrokes of users.

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

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

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.