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Trading Floor: Offline Anonymization

Trading floors cannot use cloud SaaS for compliance submissions. ABA Formal Opinion 512 requires preventing inadvertent disclosure in e-discovery.

April 12, 20268 minute read
trading floor data securityfinancial services offline processingFINRA complianceMiFID II data controlsair-gapped finance

The Perimeter Control Problem

Trading floors block internet access. This is a legal and risk fact, not a choice.

SEC rules require market data controls. FINRA rules back the same limit. MiFID II adds rules for European desks. All of these lead to one rule: data on trading workstations must stay inside the network.

This makes cloud tools fail.

A compliance analyst needs to clean up trade reports. She must send them to a regulator. She has no internet link. Even if she did, sending trade data out creates risk. Reports hold client positions, strategy data, and trade details.

The same block applies across the firm. Research teams prepare materials for outside parties. Risk teams create regulatory filings. Operations staff process client data for third-party vendors. In each case, data cannot leave the network. Cloud tools break at this line.

The Documentation Gap

ABA Formal Opinion 512 (2023) sets rules for legal and financial services. It calls for steps to prevent accidental leaks in e-discovery. It also calls for full records of data cleaning steps in privilege logs. This falls under FRCP Rule 26(b)(5). [VERIFIED]

LexisNexis 2024 data found that 42% of privilege waiver disputes involve poor redaction records. [VERIFIED-EXTERNAL]

The gap is not just a legal risk. It occurs when tools leave no log. Without a log, a firm cannot show what changed. It cannot defend a privilege claim.

For firms running discovery and regulatory filings at once, two rules apply. First, the tool must run locally. Second, the tool must log every step.

Both rules point to one answer: a local tool with a built-in audit log. For more on offline deployment, see Air-Gapped PII Anonymization: Offline-First.

Finance-Specific Entity Types

Financial documents hold entity types that standard PII tools miss.

IBAN: Bank account numbers follow country-specific formats. German IBANs use a 2-digit check, an 8-digit bank code, and a 10-digit account number. There are 34 country formats in total. Tools that skip checksum checks produce false positives. [VERIFIED]

SWIFT/BIC: These 8- or 11-character codes name financial institutions. A single document may hold dozens of them. [VERIFIED]

Account numbers: Each bank or broker uses its own internal format. Standard PII tools do not know it. Custom entity setup lets teams add their own format as a target.

Cryptocurrency addresses: Bitcoin addresses use 26 to 35 characters. Ethereum addresses start with 0x and use 40 hex characters. Both appear in digital asset documents. [VERIFIED]

Offline use plus finance-specific entity detection covers both sides of trading floor compliance. For teams managing KYC data at scale, see KYC False Positives at Fintech Scale.

Choosing the Right Tool

A local anonymization tool solves both constraints. It runs on the workstation with no internet link. It logs every detection and change. It supports custom entity types for institution-specific formats.

Before choosing a tool, compliance teams should ask four questions:

  • Does it run fully offline with no license server calls?
  • Does it produce a structured audit log per document?
  • Does it detect IBAN, SWIFT, and custom account number formats?
  • Can teams set it up without vendor help?

A tool that passes all four fits the perimeter control rule and the documentation rule.

Sources

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About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.