Digital Privacy — Yours and Your Clients'

As of 2026, 20 US states have enacted comprehensive data privacy laws. The EU's GDPR has accumulated over €6.7 billion in total fines since enforcement began. California's CCPA, now extended to cover employees as well as consumers, carries civil penalties of up to $7,988 per intentional violation — meaning a company with 100,000 affected individuals could face nearly $800 million in theoretical exposure.

Data privacy is not an abstract compliance issue. It's a legal and financial reality that touches decisions made at every level of an organization — including decisions made by individual employees in the course of normal work.

What Privacy Obligations Mean in Practice

Privacy regulations share a common core, regardless of jurisdiction: organizations must be transparent about what data they collect, use it only for the purposes disclosed, protect it with reasonable security measures, and honor individuals' rights to access, correct, or delete their data.

For most employees, these obligations translate into three practical areas:

Customer and client data — names, contact details, purchase history, health information, financial records, and any other data belonging to people your organization serves. This data has the strictest protections, the highest regulatory exposure if mishandled, and the most serious consequences for organizational trust if lost or leaked.

Employee data — your own information and your colleagues'. In jurisdictions covered by GDPR or CCPA/CPRA, employees now have the same rights over their personal data as consumers: the right to know what's collected, the right to correct inaccuracies, and the right to request deletion in some circumstances.

Third-party data — information about partners, vendors, and contractors. Often overlooked, but subject to the same handling obligations as customer data in most regulatory frameworks.

The Two Scenarios That Cause Most Privacy Problems

Scenario 1: Sharing data through the wrong channel

Maria is working on a project that requires sending a client list to an external consultant. She's in a hurry. She emails the file to the consultant's personal Gmail account because the approved file-sharing system feels cumbersome. The consultant's personal email account is later compromised in a breach. The client data is exposed.

Maria didn't intend a data breach. She made a routing decision without thinking about where the data would end up and what protections applied there. This is the source of most privacy incidents — not malice, but thoughtlessness about data handling.

Scenario 2: Using AI tools with confidential data

Jake pastes a client contract into a consumer AI tool to get a quick summary. The AI tool's terms of service state that inputs may be used to improve the model — meaning confidential client data has now been shared with a third party outside any data processing agreement your organization has in place.

As of 2025, 20% of organizations have suffered data breaches related to "shadow AI" — AI tools used by employees without IT approval or legal review. Before pasting any confidential or client data into an AI tool, the question is always: what does this tool's data policy say, and has my organization approved it for this type of data?

The Three-Question Privacy Check

Before handling, sharing, or processing any data involving people — customers, clients, employees, or anyone else — three questions take under 60 seconds and catch the majority of potential problems:

• "Am I the right person to have this data, and do I need it for the specific task I'm doing?";
• "Is the channel or tool I'm using to handle this data approved for this type of data?";
• "If something went wrong with how I'm handling this right now, could a real person be harmed — financially, professionally, or personally?". If the answer to the third question is yes, the handling deserves a second look before proceeding.