SageMaker Security | Shadow Phantom

Risk Scenarios

A SageMaker endpoint allowed anonymous inference. Shadow Phantom detected and locked it down.
A model training job exposed S3 data. Shadow Phantom flagged and encrypted the bucket.

Secured Features

Endpoint security posture checks
IAM role/key leakage detection
Pipeline configuration drift monitoring
Data encryption enforcement
Automated remediation

Why Shadow Phantom?

Detects 90%+ MITRE ATT&CK techniques in SageMaker
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 SageMaker APIs and CloudTrail to audit endpoints, roles and data access.

Operation: Real-time alerts, scheduled scans and automated remediation via Lambda.

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 → SageMaker, CloudTrail, Slack, Jira, SIEM

Learn More

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

Explore Use Cases

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