AI Privacy for Business

Every business is an AI business now

The fastest-growing class of AI users isn't the regulated enterprise. It's the marketer drafting an outreach email with a customer list. The recruiter summarising CVs in ChatGPT. The ops lead pasting a vendor contract for a quick re-read. The sales rep asking Claude to clean up notes from a deal call. Every one of those interactions exposes data the company hasn't authorised to share.

Most businesses cannot ban AI – the productivity lift is real, and "no" is not a policy that survives contact with a team that has a Q4 to ship. The realistic move is to keep the tool, anonymise the data, and give the IT team something to enforce.

What SOWA detects

Three layers run locally in every employee's browser: regex for structured identifiers, an optional multilingual NER layer for names and organisations, and a user-managed blacklist for the terms unique to your business.

Why this matters for Business

GDPR – the default lawful basis problem

Most businesses lack a clear lawful basis for handing customer or employee data to a US-based AI vendor on an ad-hoc, unlogged basis. Anonymising the prompt removes the personal data from the equation entirely: the AI sees [CUSTOMER_1] and [REGION_2], not the real names. That's a stronger position than a Data Processing Agreement reviewed once and forgotten.

NDAs and confidentiality undertakings

Every business has commercial NDAs, partner contracts, and customer agreements that don't anticipate "we pasted this into ChatGPT". SOWA Privacy keeps the actual sensitive terms on the workstation – the AI sees the structure of the question, not the identifying detail.

Trade secrets and competitive risk

The single biggest under-priced risk is staff casually leaking strategy, pricing, or upcoming product details into a vendor's training pipeline. Local-first detection draws the boundary at the browser, before that conversation ever happens.

Roll it out across your team

From Settings → Detection → Custom rules & lists, an IT lead or DPO can:

• Add company-specific terms (product codenames, customer-list aliases, internal acronyms) to the Blacklist.
• Whitelist public-facing terms (your product name, public partners, marketing language) so the team isn't constantly bypassing flags.
• Add custom regex rules for internal identifiers (employee ID format, ticket IDs, deal IDs).
• Export a .sowa.json ruleset and ship it via the team's existing Chrome management profile – every workstation gets the same policy on day one.