Securing the AI Attack Surface with Tenable One
- Attack Surface Management
- Cloud
- Exposure Management
- Tenable One
Close your AI exposure gap with unified visibility across endpoints, cloud workloads, and enterprise platforms.
AI adoption is moving faster than security. Employees install AI tools and assistants, developers ship models and agents into the cloud, and business teams connect copilots to sensitive data, often without security in the loop. Each of these creates new exposure. Most organizations are trying to manage it with separate point tools, and each tool sees only part of the picture.
Join us to see how Tenable One gives you one view of AI exposure across your organization, from endpoints and servers to cloud workloads and the AI platforms your people use every day.
What we'll cover:
- Discover every AI asset: Find AI applications, libraries and shadow AI on your endpoints and servers, plus the AI models, services and pipelines running in your cloud environments.
- Assess AI risk in context: Identify vulnerable AI software, misconfigured AI services, exposed training data and over-privileged AI identities, and see how they link into attack paths.
- Govern how AI is used: Monitor prompts, agents, skills and connected AI platforms to detect sensitive data leakage, risky usage and policy violations.
- Prioritize and act from one place: Bring all AI findings into a single exposure view, scored alongside the rest of your attack surface, so teams fix what matters most first.
Whether you're just starting with AI or already running agents in production, you'll leave with a practical approach to seeing, understanding and governing AI exposure from a single platform.
Who Should Attend?
Cybersecurity, IT and risk management leaders who want a unified exposure view that includes vulnerabilities, identities, cloud risk, and AI risks, threats all in one place.
Save your spot. Register now.
If you can’t make the live session, register anyway and we’ll email you a link to the replay.
Speakers
Principal Security Engineer, Tenable
Tenable One
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