Anonymize sensitive personal information inventory records for privacy impact assessment – CCPA/HIPAA-compliant de-identification per Cal. Civ. Code §1798.140

CCPA §1798.140 defines sensitive personal information — including precise geolocation, racial origin, health data, and financial account credentials — as a distinct category requiring heightened protection under CPRA. Data inventories mapping where these categories are held, processed, and shared constitute sensitive assets. anonym.legal pseudonymizes inventory records for safe use in privacy impact assessments and vendor risk reviews.

When this applies

Apply this workflow when a sensitive personal information inventory or records-of-processing-activities document must be shared with external privacy consultants, auditors, or outside counsel for a privacy impact assessment or vendor risk review.

  1. Export the sensitive personal information inventory from your data-mapping or records-of-processing-activities tool.
  2. Upload the inventory to anonym.legal; the engine identifies consumer-identifying fields embedded in data-flow descriptions.
  3. Consumer identifiers referenced in example data-flow records or sample dataset references are pseudonymized.
  4. Sensitive-PI category labels (as defined in §1798.140), system names, and data-flow destinations are retained as structural content for impact assessment.
  5. Third-party processor and vendor names can be retained or pseudonymized based on your confidentiality requirements.
  6. A reversible mapping key is encrypted and stored with US data residency.
  7. The pseudonymized inventory is exported for consultant or counsel review.

What you provide

  • Sensitive personal information inventory or records-of-processing-activities document in XLSX, PDF, or structured export format
  • Data-flow diagrams or system architecture documents referenced in the inventory
  • Vendor list identifying third-party processors handling sensitive personal information

Limitations & cautions

  • anonym.legal does not conduct the privacy impact assessment itself; the pseudonymized inventory is input for that assessment, which requires qualified privacy counsel or a certified privacy professional.
  • System architecture diagrams with embedded consumer data examples require manual review in addition to automated pseudonymization.
  • The §1798.140 definition of sensitive personal information is the operative scope for this workflow; categories defined differently in other statutes are out of scope.
  • Vendor names retained in the inventory may be business-sensitive; apply separate confidentiality controls before sharing with external consultants.

FAQ

Is a sensitive personal information inventory required under CCPA/CPRA?

CPRA requires covered businesses to conduct annual cybersecurity audits and risk assessments (per §1798.185 regulations). A sensitive-PI inventory is a prerequisite for these assessments. While not mandated in a specific format, the inventory is essential infrastructure for demonstrating CPRA compliance.

How does this workflow relate to the right to limit use of sensitive personal information under §1798.121?

The inventory identifies where sensitive personal information is held and processed — the foundational map required to implement §1798.121 limitation requests effectively. Pseudonymizing the inventory before sharing it with consultants ensures that the mapping exercise itself does not create new personal-data-exposure risks.

Can this workflow handle inventories that include data from multiple California and non-California systems?

Yes. The workflow processes inventory records regardless of the originating system's geographic scope. Non-California data rows are processed with the same pseudonymization logic; the CCPA-scope flag on each row is retained as a structural classification field.

Consumer Privacy

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.