CCPA/CPRA Compliant AI

Deploy AI on consumer data without the opt-out and audit chaos.

Protecto is the privacy layer between your data and the AI you use, identifying and masking sensitive consumer information before it reaches LLMs, RAG systems, and agents. Launch compliant AI faster, with audit-ready controls and no loss in model performance.

Live PHI masking pipeline

EHR / Clinical Notes

Protecto Vault

LLM Safe

Patient Records

PHI Detected + Masked

HIPAA Ready

Before and after PHI masking

Before Protecto

Patient Maria Chen, DOB 11/08/1976, MRN HX-482991, presented to St. Luke's Medical Center after recurrent chest pain following discharge from Dr. Ravi Patel's clinic.

After Protecto

Patient <PER>vTN 4h1</PER>, DOB <DOB>b1CjImA2/e57ftzYU/yTq6Lgn7</DOB>, MRN <MRN>514-563</MRN>, presented to <ORG>7Fs. U3x xcz QI2</ORG> after recurrent chest pain following discharge from Dr. <PER>JQ0 if7</PER>\'s clinic.

99%

PHI recall

96%

Precision

1/10^x

vs in-house cost

The Compliance Gap

CCPA and CPRA violations in AI pipelines start with architecture

Every RAG system, LLM integration, and agentic AI workflow that touches California resident data is now part of your CCPA and CPRA risk surface. The challenge is not policy drafting. It is data flow. Consumer personal information moves from support logs, customer profiles, claims systems, loyalty tools, and product telemetry into prompts, embeddings, and model outputs without minimisation, limit controls, or opt-out propagation unless the architecture enforces them by default.

$1.55M

Healthline Media settlement, July 1, 2025. The California Attorney General said Healthline shared data through online tracking technology that suggested a consumer may have a serious health condition, failed to offer an effective CCPA opt-out for targeted advertising, and lacked required privacy contract terms. AI teams dealing with inference-rich consumer data face the same CCPA and CPRA exposure pattern.

RAG pipelines ingest customer histories beyond the disclosed purpose

Retrieval layers pull purchase records, claims notes, support transcripts, and account metadata into prompts far beyond the purpose a California resident was told about. Under CCPA and CPRA, that creates a minimisation problem immediately.

No lineage means correction and erasure requests stall in AI systems

CCPA and CPRA give California residents rights to know, delete, correct, and limit. Most AI stacks cannot trace where one record lives across prompts, vector stores, caches, and response logs.

Third-party LLM calls extend sale and sharing exposure

When AI agents send raw personal data to external model providers, analytics tools, or ad-tech connected services, your service-provider restrictions and opt-out obligations come into play at once.

Breach response collapses without 72-hour board notice and one-year logs

As of January 1, 2026, California requires risk assessments before processing sensitive personal information and before using or training certain automated technologies in defined scenarios. Generic LLM gateways do not create the evidence trail those reviews need.

How it works

Three steps to CCPA/CPRA-safe AI

Protecto sits between your data sources and your AI models. No pipeline rebuilds. No code rewrites. CCPA and CPRA compliance are enforced at the infrastructure layer, not left to every application team to re-implement.

Detect consumer personal information automatically

Protecto scans unstructured text, documents, API payloads, and database fields in real time. It identifies personal information relevant to CCPA and CPRA workflows, including names, emails, phone numbers, account details, geolocation signals, health-related context, financial data, and cross-device identifiers across healthcare, financial services, and SaaS pipelines.

Mask with Context Preserved

Context-preserving masking replaces CCPA and CPRA regulated personal data with semantically coherent tokens. Your LLM receives usable text, not blanks. Model quality stays intact. Consumer personal information does not reach the model layer, the prompt, or the external API call in raw form.

Govern, Audit, and Report

Every interaction with CCPA and CPRA regulated personal data is logged in an immutable audit trail. Export access records, opt-out evidence, risk-assessment support, and vendor documentation on demand. Enforce access, deletion, correction, limit, and retention workflows without rebuilding your application stack.

Platform Capabilities

Built for CCPA/CPRA.

Protecto implements CCPA and CPRA technical requirements at the data pipeline level. Not a policy checklist. Engineering-grade controls that security leaders, compliance officers, and CTOs can document before audits, diligence reviews, and 2026 risk-assessment workflows start.

Sub-sec

Real-time token generation for live pipelines

Billions

Rows handled via bulk API for migrations

50M+

PHI records processed for a single healthcare customer

Consumer PI detection

Identifies personal information in unstructured text, support logs, account records, claims notes, product telemetry, and API payloads. Covers the data classes CCPA and CPRA teams worry about most: identifiers, contact data, health-related data, financial records, geolocation, and free-text consumer information.

Civ. Code § 1798.140

Context-Preserving Masking

Replaces CCPA and CPRA regulated personal data with semantically coherent tokens before data enters LLMs or RAG systems. Unlike redaction, Protecto preserves structure and meaning. LLM output quality stays intact while minimisation and purpose controls are applied through masking and virtual-token controls.

§ 1798.100(c)

Context-Based Access Control

Enforces least-necessary access at the AI layer. Each agent, user, or workflow accesses only the personal data justified for that task. Policy-driven controls prevent purpose drift, over-sharing, and uncontrolled unmasking across multi-agent and multi-tenant architectures.

§ 1798.121 + § 7027

Immutable Audit Logs

Every access to CCPA and CPRA regulated personal data is logged with timestamp, requesting entity, policy result, masking action, and output trace. Logs are tamper-resistant and exportable. Protecto supports rights handling, GPC evidence, vendor review, and the risk-assessment support California now expects in several automated processing scenarios.

§§ 7025(c)(6), 7026(g), 7152-7157

CCPA service provider agreement ready

Protecto operates with contract controls that map to CCPA and CPRA service-provider expectations. Enterprise terms define disclosure restrictions, sub-processor controls, audit expectations, and data handling boundaries. Protecto does not train models on customer data.

§ 1798.140(ag)

Flexible deployment and segmentation

Deploy Protecto on-premises, in a private cloud, or in a controlled regional environment. Personal data can stay within your perimeter before any third-party model sees the request. That supports consumer-data segmentation, vendor-boundary control, and lower disclosure risk across hybrid AI stacks.

§ 1798.100(c)

Customer Story

A SaaS AI team processed 13M texts per day and cut privacy infrastructure cost by 90% with Protecto

A leading SaaS company needed to process 13 million long-form texts per day containing personal and health-related data for AI agent training. The existing pipeline had high latency, lacked batch support, and was too expensive to scale safely.

The team needed context-preserving masking in long-form unstructured text so model quality stayed intact while CCPA and CPRA obligations could still be enforced across every AI product.

Protecto Vault delivered async processing, built-in queuing, Spark integration, high-accuracy detection, and centralized privacy controls. The result was a production-ready CCPA and CPRA architecture that kept consumer data governed without slowing product delivery.

13M

Long-form texts processed per day through Protecto's privacy layer

90%

Reduction in operating cost versus the original in-house estimate

1 week

From implementation start to live operational deployment

1/10th

Of the in-house infrastructure cost while maintaining AI development speed

Leading SaaS company

Enterprise SaaS teams use this pattern when they need AI on customer records without exposing raw personal data to model providers, downstream agents, or analytics vendors.

Built for Regulated Industries

CCPA/CPRA Compliance built for your industry

Every industry processes California resident data differently. Protecto maps its CCPA and CPRA detection, masking, and governance capabilities to the data flows and obligations that matter in your sector.

Healthcare

Healthcare and Life Sciences

Digital health platforms, payers, and care navigation teams run AI on member chats, claims narratives, symptom descriptions, website activity, and account profiles. Protecto applies CCPA and CPRA controls before those flows reveal health-related sensitive personal information to external models or downstream tools.

Sensitive PII

Right to limit

Audit evidence

Financial Services

Financial Services and Banking

Banks, insurers, lenders, and fintechs run AI across underwriting support, claims, collections, service centers, and fraud operations. Protecto keeps account-linked signals, service transcripts, geolocation data, and consumer personal information masked and policy-controlled across those CCPA and CPRA workflows.

Service provider controls

Sensitive PI

Private deployment

Enterprise AI

Enterprise SaaS and AI Companies

Enterprise SaaS companies shipping copilots, support agents, and RAG experiences need CCPA and CPRA compliance before customer data is embedded or sent to third-party models. Protecto wraps those AI layers with masking, access policy, and traceable unmasking so product teams can ship faster.

GPC-aware workflows

Agentic AI

Opt-out propagation

Why Protecto

Not all data masking tools are built for CCPA/CPRA-compliant AI

Generic redaction and cloud NLP tools were designed for simpler detection use cases, not CCPA and CPRA AI pipelines. Here is how Protecto compares on the controls that California compliance, security, and engineering teams actually evaluate.

CCPA/CPRA capability	Protecto	AWS Comprehend	Generic Masking / DSPM
Context-preserving masking for LLMs	✓ Yes	✕ No	✕ No
Detection accuracy on unstructured consumer text	✓ 99% recall, 96% precision	! PII detection only, no Protecto-style benchmark	! Variable, rules-based
CCPA service provider agreement support	✓ Yes, signed as standard	✓ AWS DPA available	! Varies by vendor
Context-based access control for AI agents	✓ Yes	✕ No	✕ No
Immutable audit logs for regulator and rights investigations	✓ Yes, exportable pipeline logs	! Partial, CloudTrail is generic	✕ No
On-premises and segmented deployment	✓ Yes	✕ No, managed service default	! Varies
RAG and agentic AI pipeline support	✓ Yes, native pipeline integration	! Limited, document-level only	✕ No

Certifications

Compliance Built In. Not Bolted On.

Protecto holds the certifications and operating controls that CCPA and CPRA procurement, legal review, and security teams expect. Documentation is available at procurement stage without a full sales process.

SOC 2 Type II

Independently audited security, availability, and confidentiality controls. Annual renewal. Supports the technical and organizational safeguards California enterprise buyers expect around personal data processing.

ISO 27001

Certified information security management system covering data handling, access controls, risk management, and incident response. Useful evidence for CCPA and CPRA security review and vendor diligence.

Service provider agreement ready

Standard enterprise agreement available at procurement stage. Protecto supports service-provider style operating models and documents disclosure restrictions, escalation paths, and audit expectations up front.

Consumer privacy governance support

Protecto supports California operating models with audit exports, opt-out evidence, risk-assessment support, and deployment options that help healthcare, financial, and SaaS teams align with CCPA and CPRA obligations.

Common Questions

CCPA/CPRA Compliance Questions, Answered

Does Protecto sign a CCPA/CPRA service provider agreement?

Yes. Protecto supports enterprise agreements that align to CCPA and CPRA service-provider restrictions on use, disclosure, retention, sub-processing, and audit expectations. That gives privacy teams a contract path that matches the technical controls already enforced in the product.

Does Protecto train its models on customer data?

No. Protecto does not train its detection or masking models on customer data. Your personal data is processed only to perform detection, masking, governance, and authorized unmasking functions. No cross-purpose reuse. That commitment is documented contractually and can be reviewed during procurement.

How does Protecto handle the January 1, 2026 CCPA risk assessment and ADMT update?

Protecto helps capture the information privacy and engineering teams need for CCPA and CPRA risk assessments: what categories of personal information were involved, why the processing happened, what safeguards applied, whether sensitive personal information was present, and where downstream disclosures occurred. That does not replace legal analysis, but it materially reduces the evidence gap that slows AI approvals.

Can Protecto be deployed on-premises for California resident data segmentation?

Yes. Protecto supports SaaS, private cloud, and on-premises deployment models. For organizations that want California resident data segmented before any external model is invoked, Protecto can run in that perimeter and pass only masked tokens downstream. That gives teams a practical answer to vendor-boundary and disclosure-risk concerns.

How does context-preserving masking differ from standard redaction?

Standard redaction replaces personal data with blanks or generic labels that damage sentence structure, ranking signals, and reasoning quality. Protecto replaces personal data with semantically coherent tokens that preserve context, format, and relationships. Your LLM still understands the record, but the raw personal data stays protected until an authorized user or workflow is allowed to unmask it.

How quickly can Protecto integrate into an existing CCPA/CPRA AI pipeline?

Most enterprise integrations take weeks, not quarters. Protecto provides REST APIs, async APIs, and proxy-style deployment options that intercept pipeline traffic without forcing a full application rebuild. Your team can start with one workflow, validate CCPA and CPRA controls on real data, and expand to more use cases once the first pipeline is live.

See Protecto detect and mask consumer data in your pipeline. Live.

30 minutes. A solutions engineer. Your data type. No slides. No sales pitch. We connect to your pipeline and run Protecto on your actual workflow so you can verify CCPA and CPRA detection accuracy, masking quality, and audit outputs before any commitment.