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Add opt-in local PII redaction before TEE encryption#12

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Add opt-in local PII redaction before TEE encryption#12
adambalogh merged 25 commits into
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@adambalogh adambalogh commented Jun 12, 2026

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Local PII redaction (opt-in)

Adds an optional layer that redacts concrete identifiers from prompts locally, before they're encrypted to the TEE — so they never leave the machine. This backstops Veil's unlinkability guarantee: OHTTP hides who you are, but only if the prompt content doesn't name you.

Behaviour

Enable with --pii-scrub (or OG_VEIL_PII_SCRUB=1); off by default.

  • Redacted (replaced with [REDACTED_*] tags): email, phone, US SSN, credit cards (Luhn), IBANs (mod-97), US bank/routing numbers, and street addresses.
  • Left in: names, cities/countries, and dates. Detecting these needs statistical NER, which over-redacts the third-party names real prompts are full of ("reply to Advait about Julia") and mislabels uncommon ones — wrecking the prompt for little gain. So this is a backstop for hard data, not a substitute for user discretion.

Detection uses Microsoft Presidio's pattern/checksum recognizers only — no NER model, so install is a single step (pip install 'opengradient-veil[pii]'), with no model download.

  • Redaction is irreversible — the TEE's signed output_hash covers exactly what it ran.
  • Fails closed: if scrubbing is enabled but the extra isn't installed, the server refuses to start rather than send PII.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a

Scrub high-impact PII from chat-completion prompts locally, before the
request is HPKE-sealed to the TEE — defense-in-depth on top of Veil's
existing end-to-end privacy. Off by default; enable with --pii-scrub /
OG_VEIL_PII_SCRUB.

Two layered tiers:
- Regex (always on when enabled, zero new core deps): email, US SSN, and
  bank numbers (credit cards Luhn-checked, IBANs mod-97-checked, plus
  labelled routing/account numbers). DOB caught by context cues.
- NER (optional [pii] extra: Presidio + spaCy en_core_web_sm): free-form
  addresses/locations, with an optional --pii-all-dates mode.

Redaction is irreversible (no de-anonymization), so the TEE's signed
output_hash covers exactly what it ran. Wired into Gateway.chat() ahead of
the retry loop; covers string and multimodal text message content.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
@adambalogh adambalogh marked this pull request as ready for review June 12, 2026 20:28
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Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff Package Supply Chain
Security
Vulnerability Quality Maintenance License
Addedspacy@​3.8.147410010010080
Addedpresidio-analyzer@​2.2.36299100100100100
Addedpresidio-anonymizer@​2.2.362100100100100100

View full report

claude added 4 commits June 12, 2026 20:40
Replace the handrolled regex detectors with Microsoft Presidio so the
recognizers are community-maintained rather than ours to own. Presidio
detects the structured types (email, US SSN, credit cards, IBANs, US
bank/routing numbers) with its own regex/checksum recognizers and uses the
spaCy model for free-form addresses/locations.

Because detection now depends on Presidio + a spaCy model, PII scrubbing
requires the optional [pii] extra; if --pii-scrub is set without it, the
server refuses to start with an actionable message instead of silently
passing PII through.

Notable details:
- Dates of birth: a custom Presidio PatternRecognizer anchored on a
  birth-date cue via variable-width lookbehind (the regex module Presidio
  uses supports it), giving true per-occurrence gating so an unrelated
  invoice date is left alone. --pii-all-dates switches to redacting every
  date via spaCy DATE_TIME.
- Pin spaCy to stable 3.8.x in the extra: the repo allows prereleases (for
  an SDK dep), which otherwise pulls a spaCy 4.0 dev build whose compiled
  extensions break against numpy 2.x.
- CI/docs install the spaCy model from the release wheel rather than
  `spacy download`, whose CLI breaks under the click version this project
  pins. Added a `make install-pii` helper and a model-install step to the
  tests workflow; PII tests importorskip when the extra is absent.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
Dates are too entangled with legitimate prompt content to redact without
mangling it, so remove all date handling: the custom DOB recognizer, the
DATE_TIME path, the --pii-all-dates flag, the OG_VEIL_PII_REDACT_ALL_DATES
env var, and the DOB_TAG. PII scrubbing now covers email, US SSN, bank
numbers, and addresses only.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
The --pii-scrub flag / OG_VEIL_PII_SCRUB env var now set the *default*; clients
can override scrubbing per request without restarting the proxy:

- header `X-OpenGradient-PII-Scrub: true|false` — set once in the client/Hermes
  config, applies to every request (the easy path)
- body field `pii_scrub` (via the OpenAI SDK's extra_body) — per call

A per-request value overrides the server default; the body field wins over the
header. The control field is stripped before the request reaches the TEE.

The Presidio engine is now built lazily and cached, so the [pii] extra is only
needed when scrubbing is actually used; if a request asks to scrub but the extra
isn't installed, it fails closed with a 503 rather than forwarding PII raw.
`og-veil test` gains a --scrub/--no-scrub flag.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a

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adambalogh and others added 12 commits June 12, 2026 18:43
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Local-only helper that loads the same Redactor the proxy uses (no login, TEE,
or network) so you can try the redaction on your own text interactively or via
piped input.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
The automated fix commit removed the `install-pii:` target header, leaving its
recipe lines attached to `install:`. Restore the header so `make install-pii`
works again.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
… address)

Reframe scrubbing around Veil's actual threat model: OHTTP unlinks identity from
content at the network layer, but a prompt that names you re-identifies you to
the model provider through the content. So the job is de-identifying the
requester. Reprioritize accordingly:

- Add person names (PERSON) and phone numbers — the primary identity linkers,
  previously not covered at all.
- Add a custom street-address recognizer: spaCy NER catches named places
  (cities/states) but not free-form street lines, and Presidio ships nothing
  for them. No transformer needed.
- Upgrade the spaCy model to en_core_web_lg for materially better PERSON recall
  across diverse names (a ~560 MB CPU CNN model, not a transformer).

Structured IDs (SSN, cards, IBAN, bank) stay as a bonus. Docs/Makefile/CI updated
to the lg model wheel; tests cover names, phone, and street addresses.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
… locations

Drop the statistical-NER entities (PERSON, LOCATION). They over-redacted the
third-party names real prompts are full of ("reply to Advait about Julia") and
mislabeled uncommon names (e.g. tagging "Advait" as a location), wrecking
common workflows for little gain. Keeping names out of a prompt stays the user's
call; this layer now backstops only the concrete data.

Now redacts only deterministic pattern/checksum identifiers: email, phone, SSN,
credit cards, IBANs, US bank numbers, and street-address lines. No name or
location guessing.

Since no NER entities are redacted anymore, the spaCy model is only Presidio's
tokenizer — downgrade en_core_web_lg back to en_core_web_sm (saves ~550 MB).
Docs/Makefile/CI updated; tests assert names and cities pass through.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
The redactor only used pattern/checksum entities (no PERSON/LOCATION NER), so the
spaCy model was dead weight — it was only there to satisfy Presidio's NLP engine.
Run Presidio's predefined recognizers (email, phone, SSN, card, IBAN, US bank)
plus the custom street-address recognizer directly with nlp_artifacts=None, and
drop the AnalyzerEngine/NlpEngineProvider/model entirely.

Result: installing PII redaction is now just `pip install 'opengradient-veil[pii]'`
— no `spacy download`, no Makefile target, no pinned model wheel in docs/CI. Also
faster startup (no model load) and lower RAM.

A 0.4 score threshold drops Presidio's "very weak" context-dependent patterns
(e.g. a bare 9-digit number as a maybe-SSN) so we don't over-redact ordinary
numbers now that there's no NLP context. Dropped the now-unneeded typer pin; kept
the spaCy<4 pin since presidio pulls spaCy transitively.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a
Condense to the essentials — install, what's redacted vs left in, and the key
caveats — cutting the verbose prose.

https://claude.ai/code/session_014NfUqUiR5AaD3HcswJTA2a

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Pull request overview

Copilot reviewed 11 out of 12 changed files in this pull request and generated 8 comments.

Comment thread veil/cli.py
Comment on lines +88 to +90
help="Redact high-impact PII (email, SSN, bank numbers; addresses with the [pii] extra) "
"from prompts locally before they leave this machine.",
)
Comment thread veil/config.py
Comment on lines +60 to +63
# Opt-in local PII redaction: scrub concrete identifiers (email, phone, SSN,
# bank numbers, street addresses) out of the agent's prompt *before* it leaves
# this process. Requires the optional ``[pii]`` extra; off by default. See
# :mod:`veil.pii`.
Comment thread veil/server.py Outdated
Comment thread veil/pii.py Outdated
Comment thread veil/pii.py
Comment on lines +67 to +71
"PHONE_NUMBER": PHONE_TAG,
"US_SSN": SSN_TAG,
"CREDIT_CARD": BANK_TAG,
"IBAN_CODE": BANK_TAG,
"US_BANK_NUMBER": BANK_TAG,
Comment thread tests/test_pii.py Outdated
Comment thread tests/test_pii.py Outdated
Comment thread scripts/pii_repl.py
@OpenGradient OpenGradient deleted a comment from socket-security Bot Jun 13, 2026
adambalogh and others added 3 commits June 12, 2026 20:55
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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
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Obfuscated code: pypi spacy is 90.0% likely obfuscated

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

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@adambalogh adambalogh merged commit 34999be into main Jun 13, 2026
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3 participants