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Prepare release 2.2.361: bump versions and finalize changelog (#1851)

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* Initial plan

* Update CHANGELOG.md with 30 PRs since v2.2.360

Co-authored-by: SharonHart <15013757+SharonHart@users.noreply.github.com>

* Prepare release 2.2.361: bump versions and update CHANGELOG.md

Co-authored-by: SharonHart <15013757+SharonHart@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: SharonHart <15013757+SharonHart@users.noreply.github.com>
This commit is contained in:
Copilot
2026-02-12 09:55:11 +02:00
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parent b4c71d346b
commit cae43c1a17
3 changed files with 46 additions and 5 deletions
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47
CHANGELOG.md
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@@ -3,13 +3,53 @@
All notable changes to this project will be documented in this file.
## [unreleased]
## [2.2.361] - 2026-02-12
### Analyzer
#### Added
- US_MBI recognizer for Medicare Beneficiary Identifier with pattern matching and context support (#1821) (@chrisvoncsefalvay)
- US_MBI recognizer for Medicare Beneficiary Identifier with pattern matching and context support (#1821) (Thanks @chrisvoncsefalvay)
- MAC address recognizer for detecting MAC addresses in various formats (#1829) (Thanks @kyoungbinkim)
- Korean Business Registration Number (KR_BRN) recognizer (#1822) (Thanks @RektPunk)
- Korean Foreigner Registration Number (KR_FRN) recognizer (#1825) (Thanks @RektPunk)
- Korean Driver License (KR_DRIVER_LICENSE) recognizer (#1820) (Thanks @RektPunk)
- Korean Passport (KR_PASSPORT) recognizer (#1814) (Thanks @kyoungbinkim)
- Thai National ID Number (TH_TNIN) recognizer with format and checksum validation (#1713) (Thanks @pangchewe)
- Configurable LangExtract recognizer supporting any LLM provider with custom YAML configurations (#1815) (Thanks @telackey)
- Azure OpenAI support for LangExtract recognizer with managed identity authentication for GPT-4o, GPT-4, etc. (#1801) (Thanks @dorlugasigal)
- Batch processing support in REST API - accepts arrays of texts and returns arrays of results with backward compatibility (#1806) (Thanks @telackey)
- GPU device control via `PRESIDIO_DEVICE` environment variable for explicit GPU/CPU selection (#1843) (Thanks @RonShakutai)
- Support for multiple recognizer instances from same class via `class_name` parameter (#1819) (Thanks @RonShakutai)
- Pydantic-based YAML configuration validation with ConfigurationValidator class for improved reliability and error reporting (#1780) (Thanks @omri374)
- Japanese and Chinese mobile number test cases for PhoneRecognizer (#1808) (Thanks @WenwenHLF)
#### Changed
- GPU optimizations with DeviceDetector singleton providing 4-10x performance improvements for GLiNER, Transformers, and Stanza engines (#1812) (Thanks @RonShakutai)
- Configurable extraction parameters for LangExtract recognizers via YAML (max_char_buffer, timeout, num_ctx, fence_output, use_schema_constraints) (#1811) (Thanks @RonShakutai)
- Lazy initialization for device detector singleton (#1831) (Thanks @RonShakutai)
- Simplified IBAN regex pattern from 8 to 3 capture groups for better performance (#1818) (Thanks @Copilot)
- Improved Korean RRN regex pattern with negative lookahead/lookbehind and gender digit validation (#1807) (Thanks @kyoungbinkim)
#### Fixed
- GLiNER GPU inference by properly passing map_location parameter (#1813) (Thanks @eveningcafe)
- GLiNER text truncation issue during processing (#1805) (Thanks @jedheaj314)
- IBAN regex trailing character handling to prevent false matches (#1818) (Thanks @Copilot)
- Python 3.10 build compatibility by pinning onnxruntime <1.24.1 for Python 3.10 (#1848) (Thanks @SharonHart)
- TypeError in third-party recognizers by removing invalid **kwargs from __init__ methods (#1800) (Thanks @RonShakutai)
- Pattern recognizer example language specification (#1835) (Thanks @andyjessen)
### Anonymizer
#### Changed
- **BREAKING CHANGE**: Hash operator now uses random salt by default to prevent brute-force and dictionary attacks. Same PII values will produce different hashes unless a `salt` parameter is explicitly provided. Users requiring referential integrity must provide their own salt. See documentation for migration guide.
- **BREAKING CHANGE**: Hash operator now uses random salt by default to prevent brute-force and dictionary attacks. Same PII values will produce different hashes unless a `salt` parameter is explicitly provided. Users requiring referential integrity must provide their own salt. Minimum salt length: 16 bytes. See documentation for migration guide. (#1846) (Thanks @Copilot)
- Updated cryptography dependency to >=46.0.4 to address CVE-2025-15467 security vulnerability (#1841) (Thanks @Copilot)
### General
#### Added
- GPU acceleration documentation guide with setup and usage instructions (#1826) (Thanks @dilshad-aee)
- Telemetry redaction sample demonstrating PII removal from telemetry data (#1824) (Thanks @Jakob-98)
#### Changed
- Migrated CI workflows (lint, dependency review, release) to ubuntu-slim runners for improved efficiency (#1840) (Thanks @Copilot)
- Updated actions/cache from v4 to v5 with Node.js 24 runtime support (#1817) (Thanks @dependabot)
## [unreleased]
### Image Redactor
@@ -652,7 +692,8 @@ Upgrade Analyzer spacy version to 3.0.5
New endpoint for deanonymizing encrypted entities by the anonymizer.
[unreleased]: https://github.com/microsoft/presidio/compare/2.2.360...HEAD
[unreleased]: https://github.com/microsoft/presidio/compare/2.2.361...HEAD
[2.2.361]: https://github.com/microsoft/presidio/compare/2.2.360...2.2.361
[2.2.360]: https://github.com/microsoft/presidio/compare/2.2.359...2.2.360
[2.2.359]: https://github.com/microsoft/presidio/compare/2.2.358...2.2.359
[2.2.358]: https://github.com/microsoft/presidio/compare/2.2.357...2.2.358

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presidio-analyzer/pyproject.toml
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@@ -4,7 +4,7 @@ requires = ["poetry-core"]
[project]
name = "presidio_analyzer"
version = "2.2.360"
version = "2.2.361"
description = "Presidio Analyzer package"
authors = [{name = "Presidio", email = "presidio@microsoft.com"}]
license = "MIT"

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presidio-anonymizer/pyproject.toml
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@@ -4,7 +4,7 @@ requires = ["poetry-core"]
[project]
name = "presidio_anonymizer"
version = "2.2.360"
version = "2.2.361"
description = "Presidio Anonymizer package - replaces analyzed text with desired values."
authors = [{name = "Presidio", email = "presidio@microsoft.com"}]
license = "MIT"