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Visibility, mitigation and governance for your EXPLODING AI Attack Surface

On-Demand

Start governing your organization’s AI footprint with unified visibility and contextual risk reduction.

Most security teams are flying blind as shadow AI platforms and agents proliferate across their infrastructure with widespread employee usage.

Can you answer the following questions?

  • How many Copilot Studio / ChatGPT Enterprise / Google Agents does your organisation have?
  • Do you have visibility into what AI applications employees are using for, or using AI?
  • Are you aware if your employees are using your AI to exfiltrate sensitive data?
  • Did any AI attack happen in your environment?

Join us to learn how to operationalize AI security and get a single, risk-aware perspective of your entire AI surface in one unified platform.

W cover how to:

  • Know how your organization and employees use AI
  • Expose AI risk: Discover sanctioned and unsanctioned AI agents, platforms, and services to eliminate visibility gaps
  • Contextualize Vulnerabilities: Correlate AI risks with identity and data exposure to prioritize the critical paths that lead to breaches
  • Accelerate Remediation: Prioritized insights to fix AI misconfigurations, enforce AI acceptable use policies, and reduce AI-related risks

Did you know?
Gartner recently named Tenable the company to beat for AI-Powered Exposure Assessment in the Gartner report for AI Vendor Race.

Who should watch?
Security leaders, risk managers, and practitioners seeking to bridge the gap between discovery and remediation to operationalize their exposure management program and secure the modern AI-driven attack surface.


Speakers

Photo of Ben Mudie, Principal Security Engineer, Tenable
Ben Mudie

Field CTO, APJ

Kenneth Teo
Kenneth Teo

Principal Security Engineer, Tenable

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