Ketch Features

Data Subject Access Request (DSAR) functionality helps companies comply with user access and deletion requests.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Privacy Impact Assessment (PIA) features help companies evalute, assess, track and report on the privacy implications of their data.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through manual surveys sent to company employees.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through automated machine learning.

Data discovery features collect and aggregate data from a variety of sources and prepares it in formats that both people and software can easily use it to then run analytics.

Data classification features tag the discovered data to make it easy to search, find, retrieve, and track.

De-identification or pseudonymization features replace personally identifiable information with artificial identifiers, or pseudonyms to comply with privacy regulations.

Consent management features help companies obtain and manage user consent when collecting, sharing, buying, or selling a user's data.

Website tracking scanning features help companies understand what cookies, beacons, and other trackers are on their websites.

Data Access Governance functionality helps limit the number of people who have access to data unless they are permissioned to do so.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Offers workflows to process Data Subject Access Requests to enable multiple departments to assist when complying with user access and deletion requests.

Offers a user-facing portal for data subjects to request access to their data.

Has reporting and log functionality to prove that companies are in compliance with mandated response time, per privacy laws such as GDPR, CCPA, and others.

Has a centralized view of PIA software functions, such as tracking, templates, and reporting

Offers tracking functionality to manage privacy impact assessments during its lifecycle

Offers assessment templates which can be customized to meet business needs

Offers workflows to enable multiple departments to collaborate on privacy impact assessments.

Has reporting and analytics functionality to highlight risks and compare analyses.

Offers a dashboard to capture, store, and manage granular user consents

Provide reporting functions showing granular data to demonstrate compliance to regulators

Integrates with marketing software and other analytical tools

Allows end-users to manage their preferences online

Shows audit trails of how user consent preferences have changed

Offers APIs to link to your data

Offers a mobile SDK to use consent management tools on mobile apps

Offers customizeable designs to match corporate branding

Offers server-side storage of consent, not client-side, for compliance reporting purposes

Automatically scan websites to identify web trackers, such as cookies

Automatically updates privacy policies based on scans

Generates a Cookie Notice report

Easy to install on existing websites with simple code

Regularly sends scan reports to stakeholders

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.

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

Verifies whether scripts or tracking actions execute before or after obtaining user consent, to ensure proper consent gating behavior.

Supports compliance checks against multiple privacy frameworks and regions (e.g. GDPR, CCPA, LGPD, ePrivacy, Canada, EU, etc.).

Runs recurring scans on a schedule, detect changes over time, and alert users when new privacy risks emerge.

Detects trackers, third‑party scripts, and external domains loaded by a website.

Maintains detailed logs, HAR files, or snapshots of findings (with precise URLs, timestamps, and request/response data) to support audit defense.

Produce clean, exportable audit reports (e.g. PDF, CSV, shareable dashboards) suitable for internal stakeholders or external audits.

Define custom privacy policies or rules (e.g. block this domain, require consent before X) and receive remediation suggestions.

Includes or interoperates with modules to assess the privacy posture of third‑party vendors, including DPA status, data sharing practices, or contract compliance.

Integrates with or is designed with artificial intelligence features which may include the ability to scan, generate reports, or check website privacy compliance posture against current legal privacy frameworks.

Designed for non‑technical users and may include intuitive UI, plain‑language explanations of findings, etc.

Integrates or interoperates with consent management platforms (CMPs) or tag management systems (e.g. detect CMP signals, block tags conditionally).