For banking & finance

AI that your regulators can live with.

From wealth management to commercial lending — PrivacyPal keeps client PII, account numbers and proprietary models out of every third-party AI you use. GLBA, SOX, and FINRA stop being blockers.

Banking analysts working with PrivacyPal-protected AI
The $180B problem

Your analysts are already using AI. Your risk team just doesn't know.

McKinsey estimates banking stands to capture up to $340B in annual value from generative AI. The catch: 68% of bank employees already paste sensitive data into public chatbots, and most institutions have no visibility into what leaves the building.

PrivacyPal closes the gap without banning the tools. Your analysts get the productivity lift. Your CISO gets the audit trail. Your regulators get a straight answer.

A client query is rewritten with a Privacy Twin — realistic synthetic data — before reaching the LLM, and restored to real values on return. PRIVACY TWIN · ROUND TRIP Real values out. Realistic twins to the model. Real values back. 01 · INSIDE THE BANK The analyst writes: CLIENT Margaret Chen ACCOUNT 4521-8893-2204 POSITION $4,238,000 AAPL "Draft a Q3 narrative for this client..." 02 · PRIVACYPAL · PRIVACY TWIN Real → realistic. Same shape, fake content. Margaret Chen Nancy Grace 4521-8893-2204 7912-4408-3617 $4,238,000 AAPL $3,815,000 MSFT MAPPING HELD ON-DEVICE · NEVER LEAVES THE BANK BANK PERIMETER 03 · LLM · WHAT IT SEES A coherent, fully synthetic prompt. "Draft a Q3 narrative for Nancy Grace, account 7912-4408-3617, currently holding $3,815,000 in MSFT." FAKE BUT REAL-LOOKING ZERO REAL CLIENT, ACCOUNT, OR POSITION ON THE WIRE. 04 · RESPONSE · RESTORED FOR THE ANALYST The twin is swapped back for the real values. "In Q3, Margaret Chen's $4,238,000 position in AAPL across account 4521-8893-2204 posted gains of 7.4%, outpacing the S&P by 230 bps..." REAL CLIENT, REAL DATA TWIN → REAL ON RETURN · EVERY HOP LOGGED TO SIEM
Where it fits

Four workflows, one guardrail.

01

Wealth management

Draft client narratives, summarize portfolios, explain market moves — without exposing household-level positions to OpenAI.

02

Commercial lending

Let underwriters run AI against borrower financials. Cap tables, covenants and side-letter terms stay inside the bank.

03

Customer operations

Automate ticket triage and response drafting. Account numbers, SSNs, and routing codes never leave the perimeter.

04

Trading & research

Accelerate research memos and deal diligence. Proprietary screens and position data stay where they belong.

vs. the status quo

Why banks choose PrivacyPal over a blanket ban.

ApproachProductivityData exposureAuditable
Block all public AINear zero. Shadow AI spreads.Unknown — no visibilityNo
Enterprise ChatGPT aloneOne tool, one vendor lock-inStill in the vendor's cloudPartial
PrivacyPalEvery tool, every analystZero — swapped before sendSIEM-ready, per-prompt
"We went from a blanket 'no AI' memo to onboarding all our users in two weeks."
— Chief Information Security Officer, top-50 US bank
Regulatory coverage

GLBA · SOX · FFIEC · FINRA · NYDFS Part 500.

PrivacyPal ships pre-configured detectors for every class of data these frameworks regulate — NPI, MNPI, customer records, model governance artifacts. Map once; enforce everywhere.

Hundreds of companies trust PrivacyPal.

Stop negotiating
between AI and compliance.

Talk to a banker on our team — yes, we hire from the industry on purpose.

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