클라우드에 AI 워크로드를 식별하고 보안을 유지
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
위험에 기반한 우선 순위 지정
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.
위험에 기반한 우선 순위 지정
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.
Tenable Cloud Security에 대해 자세히 알아보기
[Tenable Cloud Security] 자동화를 사용하여 저희는 과도한 수동 프로세스를 없애고 2명 또는 3명의 보안 팀원이 몇 달이 걸릴 수 있는 작업을 몇 분만에 수행합니다.
- Tenable Cloud Security
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