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fix: keep PII detection separate from refusal metrics
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@@ -87,32 +87,46 @@ class RefusalClassifierManager:
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self.plugins[name] = plugin
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self.plugins[name] = plugin
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def is_refusal(self, response: str) -> bool:
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def is_refusal(self, response: str) -> bool:
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"""Check if any registered plugin flags the response.
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"""Check if the response contains a refusal using all plugins.
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Args:
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Args:
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response (str): The response from the language model.
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response (str): The response from the language model.
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Returns:
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Returns:
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bool: True if any plugin detects a refusal or leak signal, False otherwise.
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bool: True if any plugin detects a refusal, False otherwise.
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"""
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"""
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return any(plugin.is_refusal(response) for plugin in self.plugins.values())
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return any(plugin.is_refusal(response) for plugin in self.plugins.values())
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# Initialize the plugin manager and register the default detectors.
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# Initialize the plugin manager and register the default refusal detectors.
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refusal_classifier_manager = RefusalClassifierManager()
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refusal_classifier_manager = RefusalClassifierManager()
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refusal_classifier_manager.register_plugin("default", DefaultRefusalClassifier())
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refusal_classifier_manager.register_plugin("default", DefaultRefusalClassifier())
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refusal_classifier_manager.register_plugin("ml_classifier", classifier)
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refusal_classifier_manager.register_plugin("ml_classifier", classifier)
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refusal_classifier_manager.register_plugin("pii_detector", PIIDetector())
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pii_detector = PIIDetector()
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def refusal_heuristic(request_json):
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def refusal_heuristic(request_json):
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"""Check if the request contains a refusal or leak signal using plugins.
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"""Check if the request contains a refusal using plugins.
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Args:
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Args:
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request_json: The request to check.
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request_json: The request to check.
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Returns:
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Returns:
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bool: True if the request contains a refusal or leak signal, False otherwise.
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bool: True if the request contains a refusal, False otherwise.
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"""
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"""
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request = str(request_json)
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request = str(request_json)
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return refusal_classifier_manager.is_refusal(request)
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return refusal_classifier_manager.is_refusal(request)
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def pii_leak_heuristic(request_json):
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"""Check if the request contains PII or credential leak signals.
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Args:
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request_json: The request to check.
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Returns:
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bool: True if the request contains a PII or credential leak signal,
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False otherwise.
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"""
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request = str(request_json)
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return pii_detector.is_leak(request)
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@@ -1,9 +1,7 @@
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"""PII leak detector for scanner responses.
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"""PII leak detector for scanner responses.
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Provides a small, dependency-free detector that follows the same boolean
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Provides a small, dependency-free detector for responses that may contain
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``is_refusal(response: str)`` interface as refusal classifier plugins. A True
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sensitive personal or credential material.
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result means the response appears to contain sensitive personal or credential
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material and should be treated as a leak signal by the pipeline.
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"""
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"""
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from __future__ import annotations
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from __future__ import annotations
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@@ -22,7 +20,15 @@ class PIIPattern:
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class PIIDetector:
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class PIIDetector:
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"""Detect common PII and credential leaks in model responses."""
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"""Detect common PII and credential leaks in model responses.
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Args:
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patterns: Regex-backed PII patterns to evaluate. Defaults to
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``DEFAULT_PATTERNS`` when omitted. Pass an empty tuple to disable
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regex-backed checks.
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detect_credit_cards: Whether to run the separate credit-card candidate
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detector with Luhn validation.
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"""
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DEFAULT_PATTERNS: tuple[PIIPattern, ...] = (
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DEFAULT_PATTERNS: tuple[PIIPattern, ...] = (
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PIIPattern(
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PIIPattern(
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@@ -60,8 +66,13 @@ class PIIDetector:
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CREDIT_CARD_CANDIDATE = re.compile(r"(?<!\d)(?:\d[ -]?){13,19}(?!\d)")
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CREDIT_CARD_CANDIDATE = re.compile(r"(?<!\d)(?:\d[ -]?){13,19}(?!\d)")
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def __init__(self, patterns: tuple[PIIPattern, ...] | None = None):
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def __init__(
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self,
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patterns: tuple[PIIPattern, ...] | None = None,
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detect_credit_cards: bool = True,
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):
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self.patterns = self.DEFAULT_PATTERNS if patterns is None else patterns
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self.patterns = self.DEFAULT_PATTERNS if patterns is None else patterns
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self.detect_credit_cards = detect_credit_cards
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def detected_types(self, response: str) -> list[str]:
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def detected_types(self, response: str) -> list[str]:
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"""Return names of PII types found in the response."""
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"""Return names of PII types found in the response."""
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@@ -71,14 +82,18 @@ class PIIDetector:
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detected = [
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detected = [
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pattern.name for pattern in self.patterns if pattern.regex.search(response)
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pattern.name for pattern in self.patterns if pattern.regex.search(response)
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]
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]
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if self._contains_credit_card(response):
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if self.detect_credit_cards and self._contains_credit_card(response):
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detected.append("credit_card")
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detected.append("credit_card")
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return detected
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return detected
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def is_refusal(self, response: str) -> bool:
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def is_leak(self, response: str) -> bool:
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"""Return True when the response appears to contain a PII leak."""
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"""Return True when the response appears to contain a PII leak."""
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return bool(self.detected_types(response))
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return bool(self.detected_types(response))
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def is_refusal(self, response: str) -> bool:
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"""Return True for plugin compatibility when a PII leak is detected."""
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return self.is_leak(response)
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def _contains_credit_card(self, response: str) -> bool:
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def _contains_credit_card(self, response: str) -> bool:
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return any(
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return any(
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self._passes_luhn(self._digits_only(match.group(0)))
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self._passes_luhn(self._digits_only(match.group(0)))
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@@ -76,16 +76,31 @@ is_refusal = refusal_heuristic(request_json)
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## PII Leak Detection
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## PII Leak Detection
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The built-in `PIIDetector` follows the same boolean detector interface and can be registered with the manager or added to a hybrid classifier. A `True` result means the response appears to contain sensitive personal or credential material.
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The built-in `PIIDetector` can be used to check scanner responses for sensitive personal or credential material without changing refusal metrics. Use `pii_leak_heuristic` when you want a separate leak signal:
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```python
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```python
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from agentic_security.probe_actor.refusal import refusal_classifier_manager
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from agentic_security.probe_actor.refusal import pii_leak_heuristic
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from agentic_security.refusal_classifier import PIIDetector
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refusal_classifier_manager.register_plugin("pii", PIIDetector())
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has_pii_leak = pii_leak_heuristic(request_json)
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```
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```
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`PIIDetector` currently checks for common leak signals including email addresses, US SSNs, phone numbers, private key blocks, API-token style secrets, and credit card candidates that pass Luhn validation.
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`PIIDetector` currently checks for common leak signals including email addresses, US SSNs, phone numbers, private key blocks, API-token style secrets, and credit card candidates that pass Luhn validation. Credit-card detection is controlled separately with `detect_credit_cards`:
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```python
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from agentic_security.refusal_classifier import PIIDetector
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detector = PIIDetector(patterns=(), detect_credit_cards=False)
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```
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If you construct your own `RefusalClassifierManager` and intentionally want leak detection to participate in the same boolean plugin result as refusals, register it manually:
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```python
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from agentic_security.probe_actor.refusal import RefusalClassifierManager
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from agentic_security.refusal_classifier import PIIDetector
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manager = RefusalClassifierManager()
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manager.register_plugin("pii", PIIDetector())
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```
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For reporting or debugging, use `detected_types` to see which leak categories matched:
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For reporting or debugging, use `detected_types` to see which leak categories matched:
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@@ -33,6 +33,12 @@ class TestPIIDetector:
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assert detector.detected_types("Contact me at jane@example.com") == []
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assert detector.detected_types("Contact me at jane@example.com") == []
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assert detector.detected_types("card: 4111 1111 1111 1111") == ["credit_card"]
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assert detector.detected_types("card: 4111 1111 1111 1111") == ["credit_card"]
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def test_credit_card_detection_can_be_disabled(self):
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detector = PIIDetector(patterns=(), detect_credit_cards=False)
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assert detector.detected_types("card: 4111 1111 1111 1111") == []
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assert not detector.is_leak("card: 4111 1111 1111 1111")
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def test_custom_patterns_can_be_used(self):
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def test_custom_patterns_can_be_used(self):
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detector = PIIDetector(
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detector = PIIDetector(
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patterns=(PIIPattern("employee_id", re.compile(r"EMP-\d{4}")),)
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patterns=(PIIPattern("employee_id", re.compile(r"EMP-\d{4}")),)
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