Agentic AI Visibility and Risk Scoring: What Cyberhaven Sees That Others Miss | (Part 3 of 4)
Knowing an AI tool exists is not the same as knowing what it did with your data. This is Part 3 of Cyberhaven's 4-part AI Security product launch series, covering Agentic AI Visibility and AI Risk IQ, Cyberhaven's evidence-based risk scoring system for every AI app and agent in your environment.
What this video covers:
Most security tools can tell you which AI applications are present. Very few can reconstruct what data each agent accessed, what actions it took, and how sensitive data moved through its workflows. This chapter covers the observability and risk scoring capabilities that give security teams the context they need to act with confidence.
In this video, you'll learn:
- How Cyberhaven reconstructs the full execution lifecycle of every agent interaction
- What AI Risk IQ is and how it scores AI tools across five dimensions: data sensitivity, model integrity, compliance adherence, user access controls, and security infrastructure
- Why static tool inventories are not enough for agentic AI governance
- How risk scores are maintained quarterly with no customer configuration required
About this series: This is Part 3 of a 4-part product launch series on Cyberhaven's AI Security capabilities. Watch Parts 1 and 2 to understand why discovery and visibility have to come before enforcement.
Learn more and see a demo: https://www.cyberhaven.com/product/ai-security
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