Privacy management software can help collect consent, fulfill data subject access requests, map where personal data lives, and monitor third-party vendors, ensuring regulatory compliance with data privacy laws.
Explore top privacy management tools, their pricing and features:
Tool | Category | Free trial | End-to-end management | Packages |
|---|---|---|---|---|
Privacy management platform | ✅ | ✅ | Free Starter: $150/mo Plus: $499/mo Pro: Custom | |
BigID | Privacy management platform | ❌ | ✅ | Not publicly listed |
Collibra | Privacy management platform | ❌ | ❌ | Not publicly listed |
DataGrail | Privacy management platform | ❌ | ✅ | Not publicly listed |
Microsoft Priva | Privacy management platform | ✅ | ❌ | Microsoft 365 add-on |
OneTrust | Privacy management platform | ❌ | ❌ | Not publicly listed |
Securiti | Privacy management platform | ❌ | ✅ | Not publicly listed |
TrustArc | Privacy management platform | ❌ | ❌ | Not publicly listed |
Cookiebot | Consent management | ✅ | ✅ | Free tier; paid per domain |
CookieYes | Consent management | ✅ | ✅ | Free tier; paid per domain |
Note that tools are listed in alphabetical order, with sponsors featured at the top.
Privacy management platforms
These tools span three or more functions in one system with data mapping capabilities, so buyers should start shortlisting from here.
Note that ROPA (Record of Processing Activities) is a legal and compliance document required under Article 30 of the GDPR.
If you are interested in solutions and methods these tools leverage, check out privacy enhancing technologies.
Ketch
Ketch is a data permission platform that collects consent, automates data subject requests, and maps personal data across systems. Ketch enforces choices using identity sync to apply a person’s consent across devices and downstream systems.
Ketch’s features:
- Programmatic consent: A consent management platform is included in every plan.
- Data Subject Request (DSR) automation: A drag-and-drop workflow builder routes access and deletion requests across connected systems, on the Pro tier and as a Plus add-on.
- Data mapping and discovery: AI-powered system discovery builds an always-on, real-time data map and informs ROPAs, on the Pro tier.
- Built for: Consent and permissioning.
Ketch covers GDPR, CCPA/CPRA, Google Consent Mode, GPP, and GPC across web and mobile apps, with continuous tracker scanning. Integrations are 2 by default and 1,000+ as a paid add-on, and Ketch is a certified Google CMP partner.
Ketch real-life example
Smartsheet is a collaborative work management platform that applied Ketch to automate DSR and consent management across 15+ jurisdictions. They achieved:
- 75% reduction in manual effort on DSR workflows
- Consent customized across 15+ jurisdictions
- 50+ erasure requests received in a single month before automating1
BigID
BigID is a data intelligence platform built around automated discovery and classification, with DSAR and privacy risk modules layered on top. It discovers and classified sensitive data at petabyte scale and is SOC 2 Type II and ISO 27001 certified for enterprise and public-sector use.
- ML classification: Machine learning identifies sensitive data across structured, semi-structured, and unstructured stores in cloud, on-prem, and SaaS, at petabyte scale, with continuous scanning.
- Data mapping: Links discovered data to systems, owners, and policies in a catalog and data inventory.
- DSAR fulfillment: Finds a person’s data across the estate (identity resolution), which is the hard part of a data subject request.
- Built for: Data discovery and classification.
BigID real-life example
The University of Maryland faced sensitive PII scattered across its cloud storage and applied BigID to discover and classify data across Google Drive, Microsoft 365, and Box. The results they obtained include:
- Over $5 million in data risk uncovered and reduced
- 2.5 petabytes of cloud storage scanned
- Thousands of exposed PII records identified and remediated.2
Collibra
Collibra is a data governance and catalog platform that adds privacy workflows (DSAR, PIA) on top of cataloging, lineage, and data quality. It fits data-heavy enterprises where governance and privacy sit with the same team.
- Catalog and glossary: A central catalog of data assets, definitions, and inventories.
- Lineage and data quality: Traces data flows and monitors accuracy, with continuous lineage.
- Privacy workflows: Runs privacy risk assessments and rights requests against governed data.
- Built for: Data governance and cataloging.
Collibra real-life example
ASN Bank, the 4th-largest bank in the Netherlands, needed GDPR and BCBS 239 compliance and applied Collibra for data issue management, a business glossary, and data ownership and lineage. The benefits they gained are:
- First use case (data issue management) live within two months via an iterative MVP rollout
- Business glossary and data-definition migration completed within a few months after.3
DataGrail
DataGrail involves consent, DSAR automation, and data mapping, with risk intelligence that flags shadow IT. Its differentiator is a live integration network of 2,500+ connectors built in-house rather than relying on customer-built links.
- Live data mapping: Connector-inferred mapping detects existing systems holding personal data, surfaces unmanaged ones live, and informs ROPA.
- DSR automation: Routes data subject requests to connected apps (SaaS and systems) and tracks fulfillment.
- Consent management: captures and stores preferences across properties.
- Built for: DSR via live integrations.
DataGrail real-life example
Bed Bath & Beyond needed to consolidate DSR management after its Overstock merger and applied DataGrail to automate requests across roughly 50 integrated systems. This resulted in:
- DSR turnaround reduced from three weeks to a few hours
- Process now managed by a single person
- 10x ROI4
Microsoft Priva
Priva is Microsoft’s privacy product for organizations on Microsoft 365, sold as part of the Microsoft suite rather than as a standalone tool. It handles privacy risk management and subject rights requests, with data mapping through Microsoft Purview.
- Subject rights requests: Auto-discovers personal data across Exchange, SharePoint, OneDrive, and Teams, with redaction and a review workflow.
- Privacy risk management: Flags data overexposure inside the Microsoft 365 estate.
- Native integration: Connects through Microsoft Graph APIs and Power Automate.
- Built for: Microsoft 365 estate.
OneTrust
OneTrust is the broadest platform in the category and a comprehensive solution covering consent, privacy automation, DSAR, data mapping, assessments, and third-party risk.
- Privacy automation: Runs DSR through workflow orchestration, plus data mapping and assessments in one console with compliance automation.
- Consent and preferences: Manages cookie and marketing consent across regions.
- Third-party risk: Runs vendor risk assessments through the Third-Party Risk Exchange, a pre-assessed vendor library, with periodic monitoring.
- Regulatory intelligence: Covers 300+ jurisdictions for regulatory reporting, with 200+ enterprise integrations that also extend DSR coverage.
- Built for: Compliance breadth.
OneTrust real-life example
Samsung Electronics needed to manage mobile-app and OTT/CTV consent across multiple regions, so they applied OneTrust Consent & Preferences across Europe and Latin America, achieving:
- Deployment across 5 continents on 2 platforms with 1 joint team
- Rollout planned across 16 additional countries following the successful European launch.5
Securiti by Veeam
Securiti’s Data Command Center includes data discovery and classification, mapping, DSR, consent, and AI governance across the data ecosystem.
- Sensitive data intelligence: ML-based discovery and classification of structured and unstructured data across hybrid multicloud, SaaS, and on-prem, with continuous scanning and ROPA.
- DSR and consent: Automates rights requests and consent capture from the same data map, with identity resolution via its data command graph.
- AI and security governance: Extends controls to AI systems and data security posture for proactive risk mitigation.
- Built for: Data security and DSPM.
TrustArc
TrustArc combines data mapping, assessments, individual rights automation across jurisdictions, consent, and vendor risk.
- Data mapping: Assessment and survey-based mapping builds the data inventory and ROPA, refreshed periodically.
- Assessment automation: Runs PIAs and DPIAs with templated workflows.
- Individual rights:Processes DSRs against mapped data across many jurisdictions.
- Nymity research: A library tracking privacy laws and data protection regulations by country.
- Built for: Assessments and regulatory research.
Consent management
These consent tools capture, store, and enforce user consent for cookies and trackers at the point of data collection, and most support Google Consent Mode and IAB TCF for ad-tech compliance. We recommend these tools for teams whose primary obligation is lawful data collection on websites and apps.
Cookiebot by Usercentrics
Cookiebot scans a site, auto-detects cookies and trackers, and controls them through a consent banner. It is owned by Usercentrics, which sells it alongside its own CMP.
Cookiebot offers automatic scanning to find cookies and trackers without manual tagging. The way Cookiebot manages consent is:
- Prior blocking holds non-essential cookies until consent is given, so it enforces rather than records.
- Runs automatic recurring scans, and integrates natively with Google Tag Manager and common CMS platforms.
CookieYes
CookieYes is a Google-certified consent platform aimed at small sites, with a WordPress plugin exceeding 1 million installs. It records consent logs for audit purposes. CookieYes manages consent as follows:
- Auto-blocking stops non-essential scripts until consent, so it enforces.
- It covers GDPR, CCPA/CPRA, and Google Consent Mode v2 on web (WordPress plugin and other CMS), with monthly auto-scans.
- Larger sites may need manual cookie audits to correct detection gaps.
Didomi
Didomi is an enterprise consent and preference platform spanning web, mobile, and connected TV. It allows users to manage granular permissions via a preference center. Didomi manages consent by:
- SDK-based enforcement that applies choices across web, mobile, and CTV channels
- IAB TCF and Google Consent Mode support
- Ad-tech SDK integrations
- Vendor/tag monitoring.
Enzuzo
Enzuzo is a privacy compliance platform for SMBs, e-commerce, and agencies, covering consent, data subject requests, and legal-policy generation.
- DSAR management: Request forms, workflows, and reporting, with automation on higher tiers.
- How it manages consent: A cookie banner enforces consent with prior blocking and geo-specific consent, covering GDPR, CCPA/CPRA, LGPD, Quebec Law 25, Google Consent Mode v2, Microsoft Consent Mode, IAB TCF, and GPC on web, with automatic page scanning and native Shopify and Webflow integrations.
Usercentrics
Usercentrics CMP is the enterprise-tier sibling of Cookiebot, built for managing consent across many markets. It customizes consent by configuring banners and logic per market without developer work. Usercentrics customization on free trial manages consent with:
- Tag blocking through tag managers that enforces choices across web and app
- IAB TCF and Google Consent Mode v2 support and scanning plus audits.
- Built-in analytics that do not connect consent data to downstream marketing performance without external exports.
Data subject request automation
DSR tools handle data subject rights management by connecting to the systems that hold personal data and orchestrating access, correction, and data deletion. They suit organizations whose subject requests have outgrown manual handling but who do not need a full platform.
Osano
Osano is a privacy platform centered on consent and DSR, with vendor privacy scoring across tens of thousands of tracked vendors and a compliance guarantee.
- DSR automation: Intake-to-fulfillment workflows for data subject requests, with a human in the loop for data retrieval; identity resolution is partial and coverage comes through its integrations.
- Consent management: Cookie and preference capture.
- Vendor scoring: Pre-assessed privacy ratings for third parties, drawn from a tracked-vendor library and refreshed periodically.
Transcend
Transcend automates DSR fulfillment across the tech stack through API and SDK integrations, plus consent and data mapping.
- API-based DSR: Runs access and deletion end to end in source systems with ticketing and identity resolution.
- System discovery: Maps where personal data is processed across structured and unstructured stores and SaaS.
Transcend real-life example
Ro, a telehealth company, scaled DSR fulfillment across internal systems and third-party vendors by using Transcend. They automated and orchestrated requests to:
- Reduce DSR processing from ~3 hours per day to nearly zero
- Cut deletion-request time from ~2 hours to minutes (many in seconds)
- Scale from ~50 to ~300 requests per month without adding headcount
- Reduce manual-intervention rate below 1%.9
UpGuard
UpGuard Vendor Risk combines continuous monitoring, security ratings, AI document analysis, and questionnaire automation.
- Security ratings and monitoring: Scores any vendor domain and watches for changes continuously.
- Questionnaire automation: Sends and scores vendor risk assessments, with AI analysis of vendor evidence, so it combines ratings and questionnaires.
UpGuard real-life example
Chemist Warehouse needed faster third-party security assessments and applied UpGuard for vendor risk assessment and continuous monitoring. They achieved:
- Assessments that previously took a month now completed in a week
- A 400% increase in productivity (per CISO Nigel Hedges)10
For more on third-party risk management solutions, check out network security policy management tools.
12 open-source privacy management tools
Open-source privacy management tools cover the full journey of personal data, so we’ve grouped them by the lifecycle stage they address.
Collection and rights fulfillment
Collection tools capture consent when data is first gathered, while rights fulfillment frameworks handle privacy rights such as access, deletion, and correction. These are the first and last stages of the data lifecycle.
- Cookie Consent (orestbida): Lightweight, dependency-free vanilla-JS consent plugin.
- Ethyca Fides: Privacy engineering platform for DSR automation, privacy-as-code data mapping, and consent.
Discovery and cataloging
This category refers to finding and organizing data across systems by building searchable inventories and tracking where it lives.
- Apache Atlas: Hadoop-native classification & lineage; often paired with Ranger.
- DataHub: Event-driven catalog, column-level lineage for the modern data stack.
- OpenMetadata: API-first discovery, lineage, quality, governance; 80+ connectors.
Access control
These tools determine who is allowed to do what with data, defining and enforcing the policies that grant or deny access to specific people, services, or actions.
- Apache Ranger: Data access governance and classification-based policy enforcement across the data ecosystem.
- Open Policy Agent (OPA): CNCF-graduated policy engine many governance tools build on. For more on AI agents.
- OpenFGA: Google Zanzibar-style who-can-access-what engine (CNCF).
- Cerbos: Context-aware access control via YAML policies, GitOps-friendly.
Protection and transformation
These tools reduce the privacy risk of the data by detecting sensitive information and altering it through redaction, anonymization, or differential privacy. This way, it can be used without exposing individuals.
- Microsoft Presidio: Detects, redacts, and anonymizes PII across text, images, and structured data.
- Google Differential Privacy: Production DP libraries for statistics without exposing individuals.
- ARX: K-anonymity, l-diversity, t-closeness plus re-identification risk analysis.
Further reading
Learn more about data governance and security:
Cite esta pesquisa
Escolha o formato adequado ao local onde você vai publicar. Colar a versão com link no seu CMS preserva o backlink.
@misc{imek2026,
author = {Şimşek, Hazal},
title = {{Top 25+ Privacy Management Software with Features & Price}},
year = {2026},
month = jun,
howpublished = {\url{https://aimultiple.com/privacy-management-software}},
note = {AIMultiple. Retrieved Junho 23, 2026}
}


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