識別並保護雲端中的 AI 工作負載
Decrease exposure risks to your proprietary models by securing your AI workloads and training data as they accelerate across complex cloud environments. Discover all AI infrastructure, classify data before processing, and prioritize risks with Cloud Security, so security teams can focus on threats attackers actually exploit, not noise.
Visualize, classify, and enforce policies with AI workloads
Get full AI resource visibility
Discover and classify data
根據風險排定優先順序
Assess your cloud security posture
Enforce policy
Build comprehensive AI security and governance
Get full AI resource visibility
Discover all AI workloads across AWS, Azure, and GCP, including compute, containers, Kubernetes, data stores, and model repositories. Use continuous monitoring to track every AI workload.
Discover and classify data
Automatically identify and classify sensitive data in AI training pipelines, inference endpoints, and vector databases. Know before data processing whether it contains PII, proprietary IP, or regulated info.
根據風險排定優先順序
Surface critical AI exposures using a Vulnerability Priority Rating (VPR). Correlate data sensitivity, infrastructure vulnerabilities, identity risks, and external exposure to focus on what attackers will exploit first, not just misconfigurations.
Assess cloud security posture
Scan AI workloads for vulnerabilities, misconfigurations, secrets exposure, anomaly detection, and weak identity policies. Categorize findings across cloud workload protection, identity and access management (IAM), network, compute, data, Kubernetes.
Enforce policy
Enforce data protection and least-privilege policies as code across the AI lifecycle. Automatically align security guardrails with dynamic AI workloads to prevent exposure drift as infrastructure scales.
深入瞭解 Tenable Cloud Security
使用 [Tenable Cloud Security] 的自動化功能，讓我們免除了讓人筋疲力竭的手動流程，並且在幾分鐘內執行過去可能需要 2 或 3 位安全人員好幾個月時間才能完成的工作。
- Tenable Cloud Security
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