Cyberhaven Features

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.

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.

Create, design and manage workflows for repetitive tasks

Identify and orchestrate execution of actions needed to restore systems to optimal conditions

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Identify component attributes like servers, hardware, software, and manage relationships across all services

Manage and store data in a database

Create, manage, and track policies and procedures within an organization

Track and manage adherence to policies for any service, product, process, or supplier

Manage and track all disruptions and incidents

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.

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.

Collect and analyze traffic data about website visitors

Active reporting of data and metrics

Receive data and information in real time

Protect users working remotely and provide secure environments for personal devices to access company programs

Protect networks against DDoS (Distributed denial-of-service) attacks

Records video or screenshots of endpoint sessions.

Logs keystrokes of users.

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

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.

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

Define levels of authorization for access to specific files or systems

Graphical representation of data

Interact with data visualization elements, such as charts and graphs, to drill down into data

Allows users to manage data from a number of sources

Identify sensitive or personal information collected from users

Import and export data to and from software applications

Review data from past periods to reveal recurring tendencies and predict future performance

Translate EDI formats into data suitable for use with company applications.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search and filter data across systems to locate required information by entering keywords or certain criteria

Public or private sharing of digital files such as documents, audio/video, images, and more

Application programming interface that allows for integration with other systems/databases

Alter the layout and content of reports

Creation and customization of dashboards

Form predictions based on past and present data/trends

View and track pertinent metrics to find patterns and gain insights from data

Use AI to generate content in the form of text, images, videos, etc.

Access, combine, transform, and store data without the help of an IT department

Connect to big data sources

Track the management and flow of data throughout the organization

Define levels of authorization for access to specific files or systems

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Track and document all activities across devices, networks, and other systems

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Assemble applications and processes by dragging over and arranging pre-built components

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Share pre-configured sets of data organized and presented in a specific manner with the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

One-off queries made on an as-needed basis

Conceptual model of how data items relate to each other

Software program that continuously adjusts its behavior based on observed data

Identifying, analyzing, and mitigating security issues and taking appropriate action to protect systems and data from potential harm

Analyze and gain insights into data in real-time

Provides a channel for team members to share media files, communicate, and work together

At least a username and password is required to access the system

Software program that continuously adjusts its behavior based on observed data

Protect sensitive data for digital privacy

Allow users to access multiple services after entering their login credentials once

Track and analyse user behavior within a system or network

Arrange tasks based on the level of priority or urgency

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Observe and track the demand, usage, progress or quality of a system, product, or user

Set up connections to third-party platforms to improve business processes

Extra layer of security that requires not only a password and username but also something specific to that user

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Discover patch statuses and vulnerabilities

Track and document all activities across devices, networks, and other systems

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Compliant with HIPAA, which sets standards for sensitive patient data protection

A chronological record of actions or occurrences within a network, software, or process

Initiate collection and analysis of known risks

Notifications that are delivered to users as soon as an event occurs

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Active monitoring of systems, applications, or networks

Control system access and/or deliverability for applications and email addresses

Verify the identity of users/devices to enable secure access

A record of all activities within the system, including user access, changes made, etc.

Application programming interface that allows for integration with other systems/databases

Define levels of authorization for access to specific files or systems

Track and report on everything that happens within the system or network

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Securely stores data to prevent data loss or breaches

Notifying as a warning or reminder of a potential or imminent hazard

Track visitors'/audience's responses across web pages and other optimized content

Prevents, detects and removes malware

Convert sensitive data into unique identification symbols (Tokens) that retain all essential information

Systematic evaluation of the security of a company's overall security system and situation

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Prevent unauthorized access to personally identifiable information

Discover and connect variety of data sources to the application for analysis

Track visitors'/audience's responses across web pages and other optimized content

Remotely delete data from devices without needing physical access

Analyze potential risks across the organization

Prevent malicious actions by individuals connected to the organization, such as current and past employees, contractors, or associates

Prevents, detects and removes malware

Control system access and/or deliverability for applications and email addresses

Set up connections to third-party platforms to improve business processes

Add a digital mark to show ownership of an image, video, document, etc.

Use AI to generate content in the form of text, images, videos, etc.

Systematic evaluation of the security of a company's overall security system and situation

Application programming interface that allows for integration with other systems/databases

Protects systems from ransomware attacks and mitigates attack risks

Request two or more credentials to prove user's identity before granting access to systems

Data is backed up automatically to prevent data loss

Support multiple types of devices

Track and report regulatory data to either internal management or external stakeholders

Analyze and gain insights into data in real-time

Securely stores data to prevent data loss or breaches

Ability to restore deleted, hidden, or lost data from an email server/system

Track and document all activities across devices, networks, and other systems

Restrict data transfer to and from external storage systems such as USB and disk drives

View and track pertinent metrics to find patterns and gain insights from data

A record of all activities within the system, including user access, changes made, etc.

Isolate suspicious files to prevent harm to computer systems

Plan and implement business continuity measures in case of unforeseen events

The process of discovering content on the web that is same or similar to logos, trademarks or other proprietary content

System alerts about the need to escalate an issue or request

Initiate collection and analysis of known risks

Identify sensitive or personal information collected from users

Notifications that are delivered to users as soon as an event occurs

Notifying as a warning or reminder of a potential or imminent hazard

Grouping log entries based on similar attributes.

Process of copying and storing data in more than one site or node

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Move files across different systems or networks

Compliant with HIPAA, which sets standards for sensitive patient data protection

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.

Active monitoring of systems, applications, or networks

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.

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.

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Collect and maintain structured information that describes data or content

Create, design and manage workflows for repetitive tasks

Track and manage adherence to policies for any service, product, process, or supplier

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

Set up connections to third-party platforms to improve business processes

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 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.

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.

Use AI to generate content in the form of text, images, videos, etc.

Graphical representation of data

Uses machine learning to identify at-risk data.

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