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April 1, 2026
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7
 min read

CPRA Data Minimization: What California Businesses Must Do

A practical guide to CPRA data minimization requirements — what counts, how retention limits work, and how to automate compliance across Salesforce, Zendesk, Slack, and S3.

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CPRA Data Minimization: What California Businesses Must Do
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TL;DR

CPRA added an explicit data minimization mandate to California privacy law: you can only collect personal information that is "reasonably necessary and proportionate" to disclosed purposes. Four things to know: 1. It covers all personal information — not just sensitive PI — collected, retained, used, or shared. 2. Consumers can opt out of using their data beyond its stated purpose via the new Limit right. 3. You must define retention periods and enforce them in vendor contracts. 4. Strac discovers, redacts, and deletes PI across Salesforce, Zendesk, Slack, S3, and 50+ integrations — turning a policy requirement into an automated workflow.

CPRA Data Minimization: What California Businesses Must Do

California's CPRA (Proposition 24) went beyond CCPA's transparency-first model and added something more demanding: an affirmative data minimization requirement. Businesses can no longer collect personal information speculatively. The law now requires that collection, use, retention, and sharing of PI be "reasonably necessary and proportionate" to the purposes you disclosed at collection.

This page covers what that means in practice — what triggers it, what you have to do, and how Strac automates the operational side across your SaaS and cloud stack.


What Is the CPRA Data Minimization Requirement?

California Civil Code § 1798.100(a)(3) states:

"A business' collection, use, retention, and sharing of a consumer's personal information shall be reasonably necessary and proportionate to achieve the purposes for which the personal information was collected or processed, or for another disclosed purpose that is compatible with the context in which the personal information was collected."

This applies to all personal information under CPRA — not just sensitive PI. The standard is proportionality: does the scope of data you collect match the business purpose you've disclosed?

Three things are required:

  1. Collection minimization — Only collect PI that's actually necessary for the stated purpose.
  2. Retention minimization — Keep PI only as long as needed. You must disclose retention periods in your privacy notice.
  3. Use and sharing minimization — Don't use or share PI beyond the disclosed purpose without a compatible secondary purpose.

The California Privacy Protection Agency (CPPA) enforces these requirements. Fines run $2,500 per unintentional violation and $7,500 per intentional violation — and regulators can treat each affected record as a separate violation.


✨ CPRA vs CCPA: How Data Minimization Changed

CCPA gave consumers the right to know what was collected and to opt out of sale. CPRA added a structural change: the obligation sits on the business, not on consumer action.

Requirement
CCPA
CPRA
Minimize data collected
No explicit requirement
Yes — must be "reasonably necessary and proportionate"
Define retention periods
No
Yes — must be disclosed in privacy notice
Limit use to stated purpose
Notice only
Affirmative obligation plus consumer right to limit
Sensitive PI restrictions
Not separately defined
Separate sensitive PI category plus right to limit use
Vendor contracts
Opt-out for data sales
Must include retention and deletion obligations

The practical difference: under CCPA you could collect broadly and justify it post-hoc. Under CPRA, your data collection has to be scoped at the point of collection.


CPRA Retention Requirements

Data minimization and data retention are connected in CPRA. Section 1798.100(a)(3) covers retention directly: once the purpose for which PI was collected is fulfilled, you are required to delete it.

What that means operationally:

  • Disclose retention periods in your privacy notice by data category. "We retain support tickets for 24 months" is what the CPPA wants to see.
  • Actually delete on schedule. Disclosure without enforcement is the liability. The CPPA has made clear that retention notices must reflect real practice.
  • Flow retention obligations to vendors. Any data processor handling your PI under CPRA must have contractual deletion obligations that match your stated retention periods. This includes Salesforce, Zendesk, Slack, and every other SaaS vendor where PI lives.

✨ CPRA Data Minimization by Data Type

The practical question is: which data types are most likely to create minimization exposure? Here is a breakdown by category and where they typically accumulate:

Data Type
Where It Accumulates
Minimization Action
Social Security Number
Zendesk tickets, onboarding forms, HR tools
Redact after verification; delete after stated purpose
Credit card numbers
Support tickets, order records, email threads
Redact at rest; retain only last 4 digits if needed
Driver's license or government ID
KYC workflows, Zendesk attachments, Google Drive
Delete original after identity verification is complete
Email address
CRM contacts, marketing lists, data warehouses
Purge when contact opts out or retention period expires
Precise geolocation
Mobile apps, ad platforms, analytics
Stop collection if not disclosed; purge historical data
Health information
Employee records, benefit portals, support tickets
Treat as sensitive PI; strict minimization plus limit controls
IP address and device IDs
Analytics tools, logs, CDPs
Review necessity; pseudonymize or delete post-session

🎥 How Strac Automates CPRA Data Minimization

Meeting CPRA data minimization requirements at scale means finding PI where it lives and enforcing rules on it automatically — not running manual audits every quarter.

Strac does this in three ways:

1. Discovery across your SaaS and cloud stack

Strac's DSPM (Data Security Posture Management) scans Salesforce, Zendesk, Google Drive, S3, Slack, GitHub, and 50+ other integrations to find where PI is actually stored. Most companies don't know they have SSNs in year-old support tickets or driver's license images in a shared Google Drive folder. Strac surfaces them by data type, location, and quantity.

2. Redaction without disruption

Once PI is located, Strac redacts it inline — replacing sensitive values with tokens like [SSN REDACTED] without deleting the surrounding record. This preserves business context (the ticket, the order record, the Slack message) while removing the PI that triggered the minimization requirement. Strac is the only DLP that also redacts inside images and scanned documents using OCR — so a driver's license photo attached to a Zendesk ticket doesn't escape detection.

3. Deletion on retention schedule

For data past its retention period, Strac triggers deletion workflows — removing records from connected systems when the retention clock runs out. Enforcement, not just policy.

See Strac DSPM | Zendesk DLP | Salesforce DLP | S3 DLP


🌶️ Frequently Asked Questions

Does CPRA data minimization apply to B2B data?

Yes, with a limited carve-out. CPRA exempts PI collected in a "business context" — meaning PI of individuals acting in their capacity as employees or representatives of another business — from many consumer-facing rights. But the minimization language in § 1798.100(a)(3) applies broadly. Most legal counsel advise treating B2B contacts with the same data discipline as B2C consumers, given the carve-out's narrow scope.

What does "reasonably necessary and proportionate" mean under CPRA?

The CPPA has not issued a bright-line definition, but the standard looks at whether the data collected is (a) actually needed to fulfill the stated purpose and (b) proportionate in scope to that purpose. Collecting SSNs for a newsletter signup is not proportionate. Retaining SSNs in a support ticket two years after the ticket closes is not reasonably necessary.

How does CPRA data minimization relate to the right to delete?

They are connected but separate. Data minimization is an affirmative obligation on the business — you must limit collection and delete on schedule regardless of whether a consumer requests it. The right to delete is consumer-triggered. Both require deletion infrastructure; minimization also requires scoping collection at the outset.

What are the CPRA penalties for excess data collection?

The CPPA can impose $2,500 per unintentional violation and $7,500 per intentional violation. Because each affected record can be treated as a separate violation, a database with 50,000 records containing unnecessary PI creates significant exposure. The CPPA also has authority to require corrective action plans.

Does CPRA data minimization apply to employee data?

Yes. The CPRA employee exemption is narrower than CCPA's and continues to evolve through California legislation. HR data is particularly high-risk given the volume of sensitive PI involved — payroll files, benefit enrollment records, background check results. Businesses should apply the same proportionality standard to employee PI as to consumer PI.

Does data minimization apply to my data processors and SaaS vendors?

Yes. Under CPRA's contract requirements, your service providers and contractors must have obligations limiting their use of PI to the specified purpose and requiring deletion or return of PI when the contract ends. This flows the minimization obligation downstream to every SaaS vendor that processes your PI.

Does CPRA data minimization apply to B2B data?
What does "reasonably necessary and proportionate" mean under CPRA?
How does CPRA data minimization relate to the right to delete?
What are the CPRA penalties for excess data collection?
Does CPRA data minimization apply to employee data?
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