Wiz is the unified cloud security platform with prevention and response capabilities, enabling security and development teams to build faster and more securely.

wiz cloud. Detect and Prevent Cloud Risks. Gain agentless visibility & risk prioritization that proactively reduces the attack surface across your cloud environments. Get a demo

Scan IaC for misconfigurations and validate against 1,000+ rules for Terraform, CloudFormation, Azure Resource Manager, Kubernetes, Docker, and more. Detect drift and trace resources from the cloud to your code for precise and effective remediation.

From your first steps in the cloud to building innovative AI applications in the cloud, Wiz is your partner for maturing your security program. Wiz helps organizations of every size and scale to secure everything they build and run in the cloud.

Train Your Team for Cloud. Learn how to secure cloud environments and applications, from infrastructure to AI, and empower your team with essential cloud security skills.

Jan 15, 2025 · Get Wiz’s practical guide to transform your security team, process, and tools for supporting cloud development. You’ll learn the four phases of the new cloud security model to keep your information secure, accurate, and accessible to the right people.

クラウドで実行されているテクノロジー間の相互接続を理解し、Wiz Security Graphを使用して侵害への経路をすぐに視覚化します。 重大なリスクの軽減 設定ミス、脆弱性、公開、過剰な権限、機密データなど、リスクの有害な組み合わせを特定し、本当に重要 ...

Oct 18, 2024 · Cloud identity security is the practice of safeguarding digital identities and the sensitive cloud infrastructure and data they gatekeep from unauthorized access and misuse. The practice encompasses identity and access control mechanisms to allow or disallow access to human users (e.g., developers), service accounts, application identities, and ...

Led by an experienced and visionary team, we are on a mission to help organizations create secure cloud environments that accelerate their businesses. By creating a normalizing layer between cloud environments, our platform enables organizations to …

AI adoption in cloud environments continues to rise, with 75% of organizations now using self-hosted AI models and 77% utilizing dedicated AI/ML software. OpenAI and Azure OpenAI SDKs maintain their dominance, used by 67% of cloud environments.