Tenable Cloud Security

Tenable Cloud Security is a Cloud-Native Application Protection Platform (CNAPP) that helps organizations discover, assess, prioritize and reduce security risks across public cloud and cloud-native environments.

It combines cloud posture management, workload protection, entitlement analysis, Kubernetes security, IaC security, data security and AI security posture management in one platform. The solution provides visibility across multi-cloud infrastructure, identities, workloads, data, containers and development pipelines. It helps security, cloud and DevOps teams detect misconfigurations, excessive permissions, vulnerable workloads, exposed data and toxic risk combinations. Tenable Cloud Security can be used as a standalone CNAPP solution or as part of the Tenable One Exposure Management platform.

Tenable Cloud Security capabilities

CWP — Cloud Workload Protection

Detects and prioritizes vulnerabilities and risks across cloud workloads, including virtual machines, containers, container registries and Kubernetes environments.

KSPM — Kubernetes Security Posture Management

Provides visibility into Kubernetes clusters, configurations, workloads and security risks to help teams reduce exposure in containerized environments.

CSPM — Cloud Security Posture Management

Continuously identifies cloud misconfigurations, non-compliant settings and posture gaps across multi-cloud environments.

Infrastructure as Code security

Scans IaC templates such as Terraform and CloudFormation to detect risks before deployment and shift cloud security earlier in the development lifecycle.

DSPM — Data Security Posture Management

Discovers and classifies sensitive or regulated data in cloud environments and correlates data exposure with identity and configuration risks.

AI SPM — AI Security Posture Management

Discovers AI assets such as models, training data and inference endpoints, helping organizations understand and reduce AI-related cloud exposure.

CIEM — Cloud Infrastructure Entitlement Management

Analyzes cloud identities, permissions and entitlements to identify excessive access, enforce least privilege and reduce identity-based cloud risk.

With Tenable Cloud Security, organizations can:

Achieve an ecosystem view of cloud risk

Unify visibility across cloud assets, identities, workloads, data and configurations to understand how separate risks combine into real exposure.

Gain complete cloud lifecycle visibility

Track risks from IaC and development pipelines through runtime cloud environments, enabling security earlier in the cloud application lifecycle.

Identify and remediate cloud misconfigurations

Detect insecure settings across multi-cloud environments and receive remediation guidance aligned with security and compliance frameworks.

Enforce least privilege access

Identify over-permissioned identities, toxic entitlements and standing access to reduce cloud identity risk.

Reduce workload vulnerability blast radius

Correlate workload vulnerabilities with exposure, permissions, misconfigurations and reachable assets to prioritize the most critical risks.

Protect sensitive cloud data

Discover sensitive and regulated data and understand how access paths, permissions and configuration weaknesses may increase exposure.

Identify and secure AI workloads

Discover AI-related cloud assets and assess risks around models, training data, inference endpoints and connected cloud resources.

Prioritize what to fix now and next

Focus remediation on toxic combinations and cloud risks most likely to create material business impact.

Key Features

• Multi-cloud asset inventory across AWS, Azure and Google Cloud environments
• Continuous cloud misconfiguration detection and posture assessment
• Risk correlation across identities, workloads, data, network exposure and cloud configurations
• IaC scanning for Terraform, CloudFormation and other cloud deployment templates
• Kubernetes cluster, workload and configuration risk analysis
• Cloud identity and entitlement analysis with least-privilege recommendations
• Sensitive data discovery, classification and exposure context
• Prioritized remediation guidance based on risk impact and toxic combinations