AI Security Check

Automated security assessment for AI/ML systems. Find vulnerabilities before someone else does.

The Problem

AI/ML systems have a growing attack surface that traditional security tools don't cover. Model extraction, training data leakage, prompt injection, misconfigured GPU clusters — these are real risks that most security teams aren't equipped to assess.

What It Will Scan

1. Model Security

• Adversarial robustness testing
• Model extraction and inversion risk
• Training data leakage detection
• Supply chain verification (model provenance, dependency scanning)
• Prompt injection vulnerability testing (for LLM-based systems)

2. Pipeline Security

• Data pipeline configuration review
• Secret management and credential handling
• Access control verification
• Data encryption at rest and in transit
• Logging and audit trail assessment

3. Infrastructure Security

• GPU cluster configuration review
• Model serving endpoint security
• Network segmentation assessment
• Container and orchestration security
• Cloud IAM and permissions review

Compliance Mapping (Planned)

Findings will be mapped to:

• SOC 2 Type I and Type II
• GDPR / LGPD (data protection)
• HIPAA (healthcare)
• NIST AI RMF (AI Risk Management Framework)
• EU AI Act risk classification
• ISO 27001 information security

Report Format

Each assessment will produce:

• Executive Summary: High-level overview for leadership
• Finding Details: Severity, evidence, and remediation steps for each issue
• Compliance Matrix: How findings map to framework controls
• Remediation Roadmap: Prioritized action plan

Interested?

If you're running AI/ML workloads and want to get ahead of security risks, reach out. We're looking for teams to shape this product.