Data Handling & Classification Policy
Generate a Data Classification & Handling Policy with sensitivity tiers and per-tier rules for storage, transmission, and disposal — including the named encryption minimums and the data-minimization rule.
What's in the policy
Classifies data by sensitivity and defines handling, storage, and disposal rules for each tier.
What the document actually says
These are the standing requirements every generated copy of the document is written from — the clause text itself, not a description of it. The document you receive is drafted on top of them: it expands on them and fills the current-state detail from your intake, and the generator is instructed to keep them, to state them fully, and never to claim a certification or invent a fact you did not supply.
The four levels, and the rule attached to each
Encryption standards
Who may hold it, and how little of it you keep
Filled in for a real stack
Types of customer data processed: To be confirmed. Encryption: To be confirmed. Hosting / storage: To be confirmed.
Types of customer data processed: account names, work email addresses, billing details, and product usage events; no health records, no card numbers. Encryption: TLS 1.3 terminated at Cloudflare, AES-256 at rest through KMS on RDS and S3. Hosting / storage: Postgres on RDS in eu-west-1, uploads in a private S3 bucket.
What the auditor asks for alongside it
Where these documents go stale
This document is written against the data you held on the day you wrote it, and classification is what drifts first. A field is added to a signup form. A support tool starts accepting attachments. An analytics event begins carrying an account identifier. A warehouse copy is stood up so finance can run its own numbers. Each of those creates somewhere new that restricted data lives, and the table never hears about any of them. The clause that ages worst is the one barring customer data from non-production: one production dump restored into staging to chase a bug contradicts it, and nobody opens the policy that afternoon. Re-validating it means re-listing your data types against the four levels, redrawing the architecture when a store appears, and checking where copies of production actually sit.
Tell us about your stack
Answer a short intake — cloud, data types, tools. No agents to install.
We generate a tailored draft
Not a blank template: a document written for your environment and pre-mapped to controls.
Review, edit, and share
Export it or attach it straight to an enterprise security review or questionnaire.
Data Handling & Classification Policy, answered
What is a data classification policy?
A data classification policy sorts the data an organization holds into sensitivity levels and attaches a handling rule to each level, so decisions about encryption, access, and storage follow from the label instead of from whoever is asked. Nearly every other control assumes the classification already exists.
What are the data classification levels?
Four levels cover most software companies: restricted, confidential, internal, and public. The generated table places customer data, personal data, secrets, and credentials at restricted; internal financials, source code, and contracts at confidential; everyday company documents at internal; and published material at public, each with its own rule.
Does SOC 2 require a data classification policy?
In substance, yes. The CC6 criteria assume you already know which information is sensitive before you can demonstrate it is protected, so an auditor asks for the scheme, the handling requirement attached to each level, and evidence that restricted data is genuinely treated differently from the rest.
What is the difference between data handling and data retention?
Handling governs classification, storage, transmission, and who may touch which level. Retention governs how long each type is kept and how it is destroyed at the end. In the generated pack they are one file — retention and disposal is a numbered section of the Data Handling Policy — which is the arrangement most reviewers expect.
Does this policy cover PII and PHI?
Personal data sits at the restricted level, so the strongest rules apply to it: encrypted, least-privilege access, and never in a non-production environment. The baseline does not enumerate HIPAA-specific safeguards, so if you process protected health information, treat those as an addition made on top of this scheme.
Where do encryption and key management get covered?
Here, in this document. Encryption standards are a numbered section of the Data Handling Policy rather than a separate file: a minimum TLS version for data moving, a named algorithm for data sitting still, and keys held in a dedicated key-management service that rotates them.
How does Pentest Today generate the policy?
Answer a short intake about your stack and we generate a tailored draft — not a blank template — pre-mapped to the controls your framework requires. You review, edit, and export it.
Can I edit the generated policy?
Yes. Every document is a starting draft you can edit, brand, and export. It's written to be review-ready but stays fully under your control.
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