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Endor Labs: AI Security Guidance Batch (10 articles)
endorlabs.comarticle

Endor Labs: AI Security Guidance Batch (10 articles)

Endor Labs guide framing AI models as software dependencies subject to supply chain risk, covering a risk taxonomy (data, model, operational, ethical/legal), and mapping requirements from NIST AI RMF, EU AI Act (full obligations effective August 2026), and ISO/IEC 42001. It details concrete failure modes like data poisoning, model drift, hallucinations, and third-party model provenance issues from hubs like Hugging Face.

TL;DR Vendor guide on assessing AI model risk (supply chain, drift, bias) against NIST AI RMF, EU AI Act, and ISO/IEC 42001.

Technologies named here

Techniques named here

  • Data poisoning
  • Adversarial attacks
  • Model backdoors
  • Malicious model weight serialization
  • Evaluation-gaming behavior
  • Model drift exploitation
  • Privacy leakage via model memorization