HuggingFace Security | Shadow Phantom

Risk Scenarios

A misconfigured HF endpoint exposed PII. Shadow Phantom detected and locked down the endpoint.
Classification threshold drift caused mislabels. Shadow Phantom flagged and reset to policy-approved settings.

Secured Features

Custom model explainability support
Endpoint configuration validation
Classification drift detection
API credential leakage scanning
Automated policy remediation

Why Shadow Phantom?

Detects 90%+ MITRE ATT&CK techniques in HuggingFace
Reduces 85% alert fatigue with AI triage
Fixes risks in seconds via CLI/API
Cuts exposure from weeks to minutes
Ensures continuous compliance

How It Works

Integration Method: Integrates via HuggingFace Inference API and custom webhooks to continuously audit models and endpoints.

Operation: Issues AI-explained alerts, drift reports and automated remediation playbooks.

Compliance Mapping

ISO 27001 A.12.4.1 (Event Logging)
NIST SP 800-53 AC-6 (Least Privilege)
GDPR Article 32 (Security of Processing)

Deployment Notes

Agentless: Yes
SSO Supported: Yes
Hosting: SaaS
Connectors: Shadow Phantom → HuggingFace, Slack, Jira, SIEM

Learn More

Discover how Shadow Phantom secures HuggingFace against misconfigurations, leaked credentials and other risks, ensuring robust protection and compliance.

Explore Use Cases

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