Four Questions to Guide Security Teams Evaluating AI-SPM Tools
Summary
The article outlines four questions for assessing AI security: visibility into AI components, identifying risks, prioritizing them, and detecting pipeline misuse. It also promotes Wiz’s AI-SPM capabilities.
Key points
- Security teams should identify AI models, services, SDKs, libraries, training jobs, data stores, and inference workloads in their cloud environments.
- AI-related risks include data leakage, model poisoning, vulnerabilities, misconfigurations, network exposure, and excessive permissions.
- Risk prioritization should consider context across cloud and workloads; the article gives a root-enabled notebook using sensitive training data as an example.
- Teams should detect suspicious AI-pipeline activity, including external users misusing models or malicious models being introduced.
- Wiz says its AI-SPM capabilities provide agentless AI inventory and extend attack-path analysis to AI.
- Wiz Research reported finding 38 TB of data accidentally exposed by Microsoft AI researchers, including secrets, private keys, and passwords.
Article Details
- Topic
- AI Security Posture Management (AI-SPM) capabilities for discovering AI assets, identifying and prioritizing AI risks, and detecting suspicious activity in AI pipelines.