An AI agent is only as trustworthy as the models, code, data, tools, and connections behind it. This episode explores how organizations can assess AI supply chain provenance and best practices in balancing risk and which models to use for agentic AI operations.
Explore the resources from the video:
-A free AI Supply Chain Provenance Explorer tool to assess risks in your models: https://provenance.aidefense.cisco.com/
-Open source Model Provenance Kit to track, verify, and audit the lineage of machine learning and AI models: https://github.com/cisco-ai-defense/model-provenance-kit
Stay up-to-date with Cisco Security and AI: https://go.cyberdefense.cisco.com/AI-Security-Signal-Subscribe
Explore the resources from the video:
-A free AI Supply Chain Provenance Explorer tool to assess risks in your models: https://provenance.aidefense.cisco.com/
-Open source Model Provenance Kit to track, verify, and audit the lineage of machine learning and AI models: https://github.com/cisco-ai-defense/model-provenance-kit
Stay up-to-date with Cisco Security and AI: https://go.cyberdefense.cisco.com/AI-Security-Signal-Subscribe
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