Does Wiz replace my existing security tools like CSPM or vulnerability scanners?

Wiz is a Cloud-Native Application Protection Platform (CNAPP) designed to consolidate the capabilities of multiple tools (CSPM, CIEM, CWPP, vulnerability management). Many teams use it to replace legacy, siloed tools to reduce cost and complexity.

What are the main limitations of an agentless approach?

Agentless scanning provides excellent visibility into configuration, network exposure, and data, but it relies on cloud API data. For deep runtime protection (e.g., kernel-level exploits), Wiz offers an optional eBPF-based sensor for workloads needing that level of monitoring.

How does Wiz handle secrets detection?

Wiz scans cloud storage, databases, and configurations to detect plaintext secrets (API keys, passwords, certificates). It correlates these findings with identity and access data to show the potential blast radius if a secret is compromised.

Directory/Automation/Cloud Security/Wiz

Wiz

Wiz is a comprehensive cloud security platform designed for the AI era. It connects code, cloud, and runtime environments into a single security graph, providing end-to-end context to automate risk reduction and threat response. Key capabilities include agentless visibility across multi-cloud environments, attack path analysis, code-to-cloud fix automation via AI agents (Wiz Green, Red, Blue), and runtime protection. Targeted at security teams, DevOps, and CISOs in cloud-native organizations, Wiz helps secure the entire software development lifecycle—from IDE to production. It identifies exploitable risks, maps attacker paths, and generates automated code fixes. The platform is trusted by over 65% of Fortune 100 companies for securing cloud infrastructure, AI workloads, and data.

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Added on

Sep 21, 2026

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CNAPPCloud SecurityRuntime ProtectionCode SecurityAI SecurityGraph-Based AnalysisAgentless

Product information

Everything worth knowing about Wiz

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Unified Security Graph

Connects code, cloud, and runtime into a single security graph for end-to-end context, enabling risk reduction and threat response at AI speed.

AI-Powered Code Fixing

Wiz Green agent automatically turns risks into code fixes, opening PRs to fix issues at the source and help write secure code from the start.

Runtime Threat Detection & Response

Wiz Blue agent automates SecOps threat hunting and investigation using the eBPF Runtime Sensor, cloud/SaaS logs, and rich context to detect and block real threats.

Attack Path Discovery

Wiz Red agent discovers every attack path with automated penetration testing and risk discovery, identifying how an attacker could move through your environment.

AI Workload Security

Provides visibility and security for AI models, agents, and services across cloud and SaaS, identifying AI-specific risks from data exposure to malicious actions.

Technical capabilities

Graph-Based Contextual Risk Prioritization

Uses a proprietary security graph to model lateral movement, privilege escalation, and data access chains, allowing ruthless prioritization of critical risks based on real exposure and blast radius.

Agentless & Multi-Cloud Architecture

Deploys without agents across numerous cloud environments, providing comprehensive visibility and simple setup without operational overhead.

Must watch videos

Wiz AI App - Full Email Marketing Setup Tutorial 2026

4:24

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Wiz AI App - Full Email Marketing Setup Tutorial 2026

2026 Shopify Email Marketing Setup Tutorial - Wiz AI Email Set up your email automations and campaigns in less than 5 minutes using Wiz AI Email Marketing app (7-day Free Trial): 👉 https://bit.ly/4tezPra Included Email flows: - Welcome flow - Abandoned cart/browse flow - Abandoned checkout flow - Thank you flow (post purchase) - Winback flow - Bonus: Pop-up Create AI email marketing campaigns in 1 click, and get 24/7 chat support directly from the app. Install Wiz today and enjoy a 7-day free trial: 👉 https://bit.ly/4tezPra

What are Large Language Models (LLMs) | WIZ.AI

2:56

Tutorial2:56

What are Large Language Models (LLMs) | WIZ.AI

In this video, Artem Alabastro, product marketing manager at WIZ.AI, will walk you through what a Large Language Model (LLM) is while looking into its difference from generative AI. He will also explain the different use cases of LLMs. Watch the full video to learn more! Interested in exploring more about LLMs? Here are our other videos from this series: 1. What are the Benefits and Limitations of Large Language Models: https://youtu.be/KTtjYJrqOY0 2. How do Large Language Models Work: https://youtu.be/ZRDcb1RK3tA?si=72Mq-0VlWaK4nSJS Timestamps: 00:01 - Introduction to LLMs 00:53 - What are LLMs? 01:21 - Difference between generative AI and LLMs 01:48 - Use Cases - LLMs Subscribe to WIZ.AI and stay connected with us on LinkedIn: https://www.linkedin.com/company/wiz-ai/ Visit our website to explore more about WIZ.AI: https://www.wiz.ai Interested in learning more about our solutions? Why not speak with our experts today? https://www.wiz.ai/schedule-a-demo/ #largelanguagemodels #llms #ai #generativeai #conversationalai

How do Large Language Models (LLMs) Work | WIZ.AI

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Tutorial1:46

How do Large Language Models (LLMs) Work | WIZ.AI

In the last two videos in this series, we provided an overview of Large Language Models (LLMs) and the different benefits and limitations associated with LLMs. This video will walk you through how a Large Language Model works. Watch this video to learn more! Interested in exploring more about LLMs? Here are our other videos: 1. Large Language Models: An Overview: https://youtu.be/Cfp1yrVee4s?si=3x8IGF9QMHmb0Bk_ 2. What are the Benefits and Limitations of LLMs: https://youtu.be/KTtjYJrqOY0?si=anTvhG6XrdmS3Woo Subscribe to WIZ.AI and stay connected with us on LinkedIn: https://www.linkedin.com/company/wiz-ai/ Visit our website to explore more about WIZ.AI: https://www.wiz.ai Interested in learning more about our solutions? Why not speak with our experts today? https://www.wiz.ai/schedule-a-demo/ #largelanguagemodels #llms #ai #generativeai #conversationalai

Who uses it

Real use cases, no hype

Cloud Security Posture Management (CSPM)

Automate misconfiguration detection and compliance mapping across multi-cloud environments.

Vulnerability Prioritization

Cut through CVE noise by correlating findings with actual attack paths and blast radius.

DevSecOps Integration

Shift security left by surfacing cloud risks as actionable code fixes in the IDE or CI/CD pipeline.

Cloud Identity & Entitlement Management (CIEM)

Identify overprivileged identities and remediate excessive permissions to reduce lateral movement risk.

Runtime Threat Detection & Response

Detect and block active threats in production workloads using eBPF sensor and cloud log analysis.

AI/ML Workload Security

Discover, map, and secure AI models, data, and inference endpoints across the cloud stack.

Incident Investigation & Forensics

Accelerate response with full contextual lineage from initial access to impact.

What's great

Rapid deployment: Agentless architecture provides visibility in minutes, no complex setup.
Unified visibility: Consolidates CSPM, CIEM, and vulnerability management in one platform.
Powerful context graph: Maps attack paths to prioritize what truly reduces risk.
Seamless multi-cloud support: Works across AWS, Azure, GCP, and Kubernetes.

Technical strengths

AI-driven risk prioritization: Focuses engineering on the 1% of issues that matter.
Agentless deep inspection: Scans cloud workloads via API without performance overhead.
Graph-based attack path modeling: Connects code, cloud, and runtime for exploit analysis.

Where it falls short

Enterprise-focused pricing: Likely cost-prohibitive for small teams or startups.
Vendor lock-in risk: Deep integration makes switching tools a significant project.
Information overload potential: Requires tuning to avoid alert fatigue in large environments.
Complex feature set: Onboarding can be steep for teams without dedicated security staff.

Technical limitations

Dependency on cloud API access: Visibility limited if API permissions are restrictive.
Agentless limitation: Cannot detect runtime kernel-level threats without optional sensor.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Deployment is agentless and typically takes minutes to hours. Value is immediate, as it connects directly to cloud provider APIs to start mapping your environment and surfacing risks without installing agents on workloads.