Just read about supply chain attacks targeting ML packages. Latenode claims its AI agents audit dependencies, but how deep does this go? Does it check for model-specific vulnerabilities or just generic npm alerts?
Curious if anyone’s stress-tested this with real-world attack simulations. The docs mention ‘behavioral analysis’ but no details.
Yes. Our agents caught a compromised sentiment analysis package last month. Scans model weights and API call patterns too.
Integrated with VulnDB feeds. Custom rules to block packages accessing sensitive model endpoints. The AI tracks abnormal data flows between dependencies.
Set up honeypot workflows to detect suspicious activity. Latenode’s agents flag any unauthorized data exports. Added secondary validation for model downloads.
Implemented runtime behavior monitoring using Latenode’s JS modules. Agents profile normal API call patterns and detect anomalies. Automatic quarantine for deviant packages.
combine their scans with oss audits. works better than solo tools we tried
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