5 Best CCPA Compliance Tools

California’s California Consumer Privacy Act (CCPA), as expanded by the California Privacy Rights Act (CPRA), now includes new regulations on cybersecurity audits, privacy risk assessments, and automated decision-making, which take effect on January 1, 2026, with phased compliance deadlines over the following years. The California Privacy Protection Agency (CPPA) can pursue penalties per violation that quickly reach six figures and are periodically adjusted for inflation. At the same time, the Delete Act will require registered data brokers to honor deletion requests submitted through the state’s Delete Request and Opt-Out Platform (DROP) starting in 2026.

In practice, this means you’re managing access requests, deletions, corrections, and opt-outs across dozens of SaaS tools and vendors—and you’re expected to produce audit-ready evidence of what you did, when, and where. Spreadsheets and ad-hoc tickets may work for a handful of one-off requests, but they won’t withstand sustained regulatory scrutiny, enterprise security questionnaires, or internal audits.

CCPA compliance tools address this by transforming compliance into an ongoing operational program, where data flows are mapped, consumer requests are tracked, controls are monitored, and evidence is readily available when auditors arrive. In the remainder of this guide, we’ll examine what CCPA compliance software actually does and then compare the leading tools that can support a modern privacy and security program.

What is CCPA compliance software?

CCPA compliance software operationalizes the rights and obligations in the CCPA and CPRA—turning legal requirements into workflows you can actually manage.

Businesses must provide clear notices, honor opt-out signals, respond to verified requests within established timelines, and implement reasonable security measures. CCPA tools turn these compliance checklists into daily workflows.

They help you:

• Honor opt-out and “Do Not Sell/Share” signals
• Map personal data across systems and vendors
• Handle consumer rights requests (DSARs) end-to-end within legal deadlines

Why CCPA compliance tools are essential

Manual CCPA compliance breaks down at scale. A single deletion request means coordinating across your CRM, marketing automation, data warehouse, analytics platforms, support ticketing system, and every vendor who received that data. Each system has different APIs, retention policies, and data formats. You need to verify the requester’s identity, log when you received it, track fulfillment across all those systems, document what was deleted and what couldn’t be, and respond within 45 days.

Do this manually for 50 requests a month, and you’ll end up spending 15–20 hours on coordination alone. The problem compounds as:

• Request volume grows as consumers become aware of their rights, and mechanisms like the Delete Act’s DROP platform make requesting easier
• System sprawl expands as you add SaaS tools, each collecting personal data in different ways
• Audit expectations tighten as regulators, customers, and partners ask for proof of your data handling practices
• Legal requirements evolve faster than you can update manual processes

CCPA tools address this by automating request workflows, maintaining persistent data maps, logging every action, and generating audit trails without requiring manual intervention.

5 Best CCPA Compliance Tools

CCPA compliance tools fall into three categories: security and compliance automation platforms (SOC 2/ISO 27001 vendors that added CCPA), privacy-focused platforms (built around consent management and data subject rights), and data discovery tools (focused on finding and classifying personal data).

This shortlist is drawn from publicly available sources, including G2 reviews, Gartner reports, vendor documentation, and analyst comparisons, focusing on tools with explicit CCPA/CPRA coverage, strong customer adoption, and active development in 2024-2025.

1. Sprinto

Sprinto is an AI-native GRC and security compliance automation platform that helps cloud-native businesses run SOC 2, ISO 27001, GDPR, and CCPA/CPRA in one system. For CCPA/CPRA, it operationalizes reasonable security, vendor risk, and audit-ready evidence through continuous monitoring and AI-assisted workflows—positioning itself as the security and control layer underneath your privacy program.

Key capabilities

• Centralized system and vendor inventory: Connects to cloud services and infrastructure to keep an up-to-date view of systems and third parties that may process California consumer data, supporting defensible scoping and risk assessments
• Control and policy automation for reasonable security: Maps technical and organizational controls (access management, logging, backups, training) to multiple frameworks so the same control set can be used to support CCPA/CPRA, SOC 2, ISO 27001, and customer security questionnaires
• Continuous monitoring and evidence collection: Automatically pulls configuration data, access logs, and task completion history so you can show regulators, customers, or auditors how security safeguards operated over time
• AI-native multi-framework engine: AI Auto-Mapping feature automatically connects frameworks to controls, controls to policies, and policies to risks. This lets you reuse a single control set across CCPA, GDPR, and SOC 2, rather than maintaining separate checklists for each framework.

Pros	Cons
Strong automation of evidence collection and monitoring	Not a dedicated DSAR or consent-management platform
High ease of use and implementation	Requires upfront work to model controls and map systems
Deep cloud and SaaS integrations for security controls	Focused more on security and audit readiness than consumer-facing workflows
Privacy-first AI design with ISO 42001 alignment and human-in-the-loop controls	Newer modules are still maturing relative to long-standing privacy suites

Pricing: Contact-based pricing

Best for: Mid-market, cloud-native companies that already run SOC 2/ISO 27001 and want to extend the same automated control, vendor risk, and evidence infrastructure to support CCPA/CPRA obligations.

2. TrustArc

TrustArc is a data privacy management platform designed to manage global privacy programs, with robust coverage of GDPR, CCPA/CPRA, and related laws. It combines data inventory, DSAR workflows, consent management, and regulatory assessments, and is now evolving into an AI-enabled platform (Arc) for more intelligent privacy operations.

Key capabilities

• Centralized data inventory and mapping: Catalogs systems, processing activities, and data flows so you can show where California consumer data lives and how it is used
• DSAR and deletion workflows: Provides templated workflows for access, deletion, correction, and opt-out requests, with time tracking and audit trails aligned to GDPR and CCPA
• Consent and Do Not Sell/Share management: Manages cookie consent, opt-out signals, and preference centers to help operationalize CCPA’s sale/share and targeted advertising requirements
• AI-enhanced privacy operations: Automates DSAR fulfillment, AI risk assessments, and real-time compliance reporting through its Arc platform

Pros	Cons
Purpose-built privacy platform with CCPA/CPRA and global coverage	Pricing is frequently noted as high for smaller organizations
Strong data inventory, assessment templates, and reporting for audits	Some users report integration complexity with other systems
Mature DSAR and consent workflows for US and EU regimes	Reporting and dashboard customization could be more flexible
Active investment in AI to reduce manual privacy work	Platform breadth can feel complex for small or low-maturity teams

Pricing: No public list pricing

Best for: Organizations that treat privacy as a dedicated function and need a central system of record for global privacy, including CCPA/CPRA, with the option to adopt AI-assisted workflows over time.

3. OneTrust

OneTrust Privacy Automation is a comprehensive privacy operations suite that encompasses data discovery, DSARs, consent management, cookie management, and privacy impact assessments across multiple regulations, including the GDPR and CCPA/CPRA. In parallel, OneTrust offers AI governance modules and AI agents to help risk and privacy teams manage AI-related use cases alongside traditional data protection.

Key capabilities

• DSAR and rights management: Provides end-to-end workflows for access, deletion, correction, and opt-out requests, with deadlines, templated responses, and collaboration across teams
• Consent, preference, and cookie management: Manages web tracking, consent banners, and preference centers to help handle Do Not Sell/Share and cross-jurisdiction consent rules
• Data discovery and classification: Discovers and classifies sensitive data to locate personal information across systems, which is critical for accurate DSAR responses under CCPA/CPRA
• AI and AI-governance features: Inventories AI systems, assesses AI risk, and automates parts of privacy workflows through AI governance modules and agents

Pros	Cons
Very broad privacy feature set (DSAR, consent, PIAs, policies, data discovery)	Implementation can be time-consuming and complex
Frequent content and ruleset updates for new privacy laws	Interface and configuration are viewed as heavy or overwhelming by some reviewers
Modular platform that can scale from privacy basics to advanced programs and AI governance	Reporting and data migration capabilities are often cited as needing more depth
Active AI roadmap for privacy and AI risk governance	Some users report inconsistent support experience and a need for clearer onboarding

Pricing: Typically uses quote-based, modular pricing.

Best for: Enterprises and upper mid-market organizations building a single privacy stack that spans CCPA/CPRA, GDPR, and AI governance, and that have resources to handle a complex but very feature-rich platform.

4. LogicGate Risk Cloud

LogicGate Risk Cloud is a no-code GRC platform that enables teams to model risk, compliance, and third-party workflows using configurable applications, along with templates for regulatory, security, and vendor risk use cases. For CCPA/CPRA, it is usually used to design and monitor the risk and control framework behind privacy programs (e.g., vendor risk, control testing, regulatory change tracking) rather than as a DSAR or consent front-end.

Key capabilities

• Configurable compliance workflows: Models privacy and security workflows such as risk registers, control testing, policy approvals, and vendor assessments for CCPA/CPRA requirements using a no-code builder
• Risk and impact analysis: Adapts to privacy risk scenarios, including regulatory change and third-party risks that affect California data subjects
• Third-party and vendor risk: Centralizes security and privacy assessments, findings, and remediation tasks for vendors that process personal data, supporting CCPA’s due diligence expectations

Pros	Cons
Flexible, no-code design for custom privacy and risk workflows	Steeper learning curve for admins; configuration and navigation can feel complex
Ability to tailor templates	Out-of-the-box privacy and DSAR functionality can feel limited
Strong customer support	Users report gaps in reporting, dashboards, and collaboration features
AI feature reduces repetitive data entry and provides recommendations	It may be overkill if you only need CCPA coverage without broader GRC requirements

Pricing: Not publicly listed

Best for: Organizations that want to embed CCPA/CPRA into a broader enterprise risk and GRC program, and have resources to design and maintain their own workflows.

5. Netwrix

Netwrix provides data security and data loss prevention tooling that helps organizations find, monitor, and protect sensitive information across endpoints, identities, and infrastructure. While not a privacy management suite, its DLP and DSPM-style capabilities support the reasonable security and breach-prevention side of CCPA/CPRA by reducing the risk of unauthorized disclosure of personal data.

Key capabilities

• Endpoint data loss prevention: Monitors and controls data movement across USB, email, and other channels to prevent exfiltration of sensitive personal data from laptops and desktops.
• Data discovery and classification: Discovers and classifies sensitive data in Microsoft 365 and other environments, identifies over-exposed data, and applies sensitivity labels to identify where California consumer data resides and how it is shared.
• Activity monitoring and alerts: Monitors sharing links, access activity, and anomalies around sensitive data, providing logs and alerts that can feed incident response and breach notification requirements.
• AI-driven risk insights and remediation: Provides AI-powered risk insights and remediation guidance that prioritizes misconfigurations and suggests remediation steps for data and identity risks.

Pros	Cons
Strong endpoint DLP	Not a DSAR, consent, or privacy program management tool
Ease of use and implementation	Limited or no native workflows for access/deletion/opt-out requests
AI-driven risk remediation and unified view of data, identities, and endpoints	Some reviewers note performance slowdowns during scans and UI navigation
	Reporting depth could be improved

Pricing: Typical security-software pricing (edition + endpoints/users)

Best suited for: Security and compliance teams that already manage DSARs and consent elsewhere but require stronger data discovery, DLP, and AI-assisted risk remediation.

What to look for in CCPA compliance software

You’ve established you need a tool. Now the question is which one fits your operations, tech stack, and compliance scope.

Start with your obligations, not the feature list. List which CCPA/CPRA rights and duties apply to you—access, deletion, opt-out, sensitive data limits, and upcoming audits. Match tools to that list, not to marketing brochures.

Then evaluate these core capabilities:

1. Data discovery and mapping: Identify where personal data lives across systems and vendors. Without this, you’re left to guess when you fulfill requests. Look for native discovery or strong integrations that map data flows.

2. Automated request workflows: Ensure intake, verification, fulfillment, and logging run automatically with clear ownership, timestamps, and audit trails. If these stay manual, you haven’t solved the problem.

3. Evidence collection without manual assembly: Verify that logs, configurations, approvals, and activity export into audit-ready reports. Rebuilding evidence for every inquiry wastes time.

4. Consent and opt-out management: The CPPA warns against dark patterns in privacy interfaces—look for tools that support symmetrical, easy-to-understand choices for consent and opt-outs, Global Privacy Control (GPC), and consistent UX patterns.

5. Single dashboard for operations: Confirm request status, open issues, control health, and key metrics appear in one view. Your team shouldn’t need to stitch data from multiple tools to answer basic questions.

6. Multi-framework control reuse: If you’re also managing SOC 2, ISO 27001, or GDPR, look for tools that let you reuse controls and evidence across frameworks—this reduces duplicate work significantly.

7. Integration with your existing stack: Ensure the tool connects to your CRM, data warehouse, marketing automation, and cloud infrastructure—without requiring you to rebuild data flows.

8. Transparency in automation and AI use: Verify that tools using AI for data discovery, request triage, or evidence collection explain what’s automated and where humans review decisions—especially when responding to consumers or handling sensitive data.

Finally, validate the vendor. Check whether they actively track CCPA/CPRA updates, appear in peer evaluations, and provide implementation support that matches your team’s capacity.

The right CCPA tool is the one that fits your obligations, stack, and team over the next 3-5 years—not the one with the longest feature list.

If you are also looking for GDPR compliance, here’s a quick GDPR vs CCPA comparison.

Final thoughts

Final thoughts

With CCPA requirements set to expand further in 2026, now is the time to establish reliable systems before regulatory pressure intensifies and enforcement actions multiply. The tools above represent different approaches, but if you’re a cloud-native company running SOC 2, ISO 27001, or GDPR, Sprinto offers the most efficient path to compliance. It turns CCPA into an extension of your existing security infrastructure with continuous monitoring, automated evidence collection, vendor risk management, and AI-assisted workflows that never train on your data.

“Most of the time, security is about discipline and processes around crucial activities that you do continuously.”~ Girish Redekar, Co-Founder at Sprinto 

Sprinto lets you reuse controls across frameworks. Map access controls once, and they satisfy CCPA reasonable security, SOC 2 Trust Services Criteria, and ISO 27001 Annex A simultaneously—one system instead of three siloed programs. Book a demo to see how Sprinto fits your stack and timeline.

FAQs on CCPA compliance tools