Classify before you paste
Sort a piece of information as safe, sensitive, or off-limits before it ever lands in a Claude conversation. Default to caution.
A clean rulebook for what data is safe in Claude, what isn't, what a hallucination looks like, and when to stop and escalate. The foundation underneath every other module in this curriculum.
Start here
Sort a piece of information as safe, sensitive, or off-limits before it ever lands in a Claude conversation. Default to caution.
Recognize when Claude's confident tone is doing the talking. Know which parts of an answer to verify against a real source.
Identify the Claude tasks that need human or compliance review before they leave your screen — and the path to take when they do.
The three buckets that matter
The chat is a boundary. Some data crosses it safely, some doesn't. Knowing the difference — before you paste — is the single most important habit in this module.
Claude can be confident and wrong. The model is trained to sound right, not to be right. Tone is not truth. Every name, date, number, and citation needs a human-verified source.
The output has your name on it the moment you send it. The employee owns the work — Claude is a tool, not a colleague you can blame. Every shipped answer is your answer.
Where the risk lives
The most common mistake is pasting regulated or confidential data — borrower PII, internal pricing, draft strategy — into a Claude chat that wasn't cleared for that data class.
What you typeThe most common mistake is uploading a file with embedded PII you didn't think about: a credit-report PDF, a loan file with cover pages, or a screenshot with names still visible.
What you uploadThe most common mistake is forwarding an answer that contains a hallucinated citation, an unverified number, or a tone that's wrong for the audience — once you send it, it's your statement.
What you forwardSafe daily use
Compliance, legal, your manager. Don't type anything in a Claude chat you wouldn't be comfortable having pulled into a routine review.
Borrower PII, credit data, employee records, investor pricing — every regulated category has a documented home. Default is "not in Claude" until policy says otherwise.
Before any answer leaves your screen for a customer, partner, or executive — verify the specifics against the actual source. Tone fluency is not accuracy.
When the stakes are real, ask for the source — and then open the source. Citations that look right but don't exist are a classic Claude failure mode.
Uncertainty is a signal, not a problem. Compliance, legal, security, your manager — know your paths and use them. "I checked with X" is always a better answer than "I assumed."
Prompt upgrade
Borrower Jane Smith, SSN 123-45-6789, 740 FICO, asks me what her LTV options are at 95%. What should I tell her?
Safe prompt
A borrower (de-identified — call them "B") has this profile: 740 FICO, 95% LTV on a conventional loan, W-2 income, no co-borrower. List the LTV-related options I should walk them through, with the trade-offs of each. No PII in this conversation.
Safe places to start
Your own scratch notes, meeting summaries, and rough thinking — with no client PII — are the safest place to build the habit of using Claude well.
Public agency guides, marketing materials, and company-internal documents you're already authorized to read can be summarized and queried safely.
Pressure-test a plan, list trade-offs, generate counterarguments — anywhere the decision itself isn't regulated and the inputs aren't confidential.
Tightening an email you wrote, simplifying a paragraph in your own voice, adapting your draft for a different audience. Low-risk and high-leverage.
Red flags before you send
Build the habits
The goal is not to memorize policy — it's to make the right move automatic.
You've finished this module when you can name, in plain English: one data type you'll never put in Claude, one habit you'll use to verify every answer, and one path you'll use to escalate when you're unsure.
Data classifier
Data sample
How would you classify this for use in Claude?
Quiz complete
The rule of thumb: when in doubt, treat data as sensitive. Sensitive data goes only in the GMFS-approved Claude surface. Off-limits data doesn't go in Claude at all — including "just-this-once" cases.
Six representative data types you'll see at GMFS. Default to caution: if a sample feels ambiguous, treat it as Sensitive and check policy before you use it.
The cost of mis-sorting data once is real — and almost always avoidable. Five minutes of classification before you paste protects the borrower, the company, and you.
If you can't tell which bucket a piece of data belongs in, it belongs in escalation. Ask compliance or your manager before it enters any Claude surface.