๐ง AI Model Privacy LeaksJuly 8, 2026โ
Tests passing
AI Privacy Audit
A CLI library that scans AI system logs or outputs for sensitive data exposure, including private user data or confidential information. It performs advanced pattern matching and semantic checks to identify leaks that generic tools might miss.
What It Does
The AI Privacy Audit Tool scans AI system logs or outputs for sensitive data exposure, including private user data or confidential information. It performs advanced pattern matching and semantic checks to identify leaks that generic tools might miss.
Installation
1. Install the required Python packages:
pip install regex spacy2. Download the spaCy language model:
python -m spacy download en_core_web_smUsage
Run the tool from the command line:
python ai_privacy_audit.py --logfile <path_to_log_file> --pii-checkArguments
--logfile: Path to the log file to scan.--pii-check: Enable PII detection.
Source Code
import argparse
import regex as re
import spacy
import sys
def load_spacy_model():
try:
return spacy.load("en_core_web_sm")
except Exception as e:
raise RuntimeError("Failed to load spaCy model. Ensure 'en_core_web_sm' is installed.")
def detect_pii(text, nlp):
sensitive_patterns = {
"email": r"[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+",
"phone": r"\b\d{10}\b|\b\d{3}-\d{3}-\d{4}\b",
"credit_card": r"\b\d{4}-\d{4}-\d{4}-\d{4}\b|\b\d{16}\b"
}
flagged_items = []
for label, pattern in sensitive_patterns.items():
matches = re.findall(pattern, text)
flagged_items.extend([(label, match.strip().rstrip('.')) for match in matches])
doc = nlp(text)
for ent in doc.ents:
if ent.label_ in ["PERSON", "ORG", "GPE"]:
flagged_items.append((ent.label_, ent.text.strip()))
return flagged_items
def scan_file(file_path, pii_check):
try:
with open(file_path, "r", encoding="utf-8") as f:
content = f.read()
except FileNotFoundError:
raise FileNotFoundError(f"File not found: {file_path}")
nlp = load_spacy_model()
if pii_check:
return detect_pii(content, nlp)
return []
def main():
parser = argparse.ArgumentParser(description="AI Privacy Audit Tool")
parser.add_argument("--logfile", type=str, help="Path to the log file to scan.")
parser.add_argument("--pii-check", action="store_true", help="Enable PII detection.")
args = parser.parse_args()
if not args.logfile:
print("Error: --logfile argument is required.", file=sys.stderr)
sys.exit(1)
try:
results = scan_file(args.logfile, args.pii_check)
if results:
print("Sensitive data found:")
for label, item in results:
print(f"- {label}: {item}")
else:
print("No sensitive data found.")
except Exception as e:
print(f"Error: {e}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
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Details
- Tool Name
- ai_privacy_audit
- Category
- AI Model Privacy Leaks
- Generated
- July 8, 2026
- Tests
- Passing โ
- Fix Loops
- 4
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-07-08/ai_privacy_audit cd generated_tools/2026-07-08/ai_privacy_audit pip install -r requirements.txt 2>/dev/null || true python ai_privacy_audit.py