4 Ways to Address Zero-Days in AI/ML Security
ID: 23f40cb4-851e-553a-90b4-268467859576
STIX ID: report--23f40cb4-851e-553a-90b4-268467859576
Feed Name: Dark Reading
Threat Score
This commentary outlines the nascent concept of AI-specific "zero-day" vulnerabilities—including prompt injection and training-data leakage—notes that AI/ML development often deprioritizes security, and recommends applying adapted best practices (MLSecOps, MLBOMs, continuous scanning, and proactive audits) to reduce risk.
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