Can I schedule a Wiz demo, and what details should I bring (account count, Kubernetes clusters, compliance requirements) to get an accurate quote?

Most teams can schedule a Wiz demo in a few clicks—and the more specifics you bring about your cloud environment, the more accurate your quote and roadmap will be. Think of the demo as both a product walkthrough and a sizing exercise: you’re helping Wiz understand how many clouds, accounts, clusters, and regulations you’re dealing with so they can model the right plan for you.

The Quick Overview

• What It Is: A personalized Wiz demo is a 1:1 session where the team walks you through the Wiz Security Graph, core capabilities (from attack surface scanning to runtime detection), and how pricing scales with your environment.
• Who It Is For: Security, cloud, and platform leaders who need to consolidate multiple tools into a single operating model and want decision‑grade clarity on cost, coverage, and deployment fit.
• Core Problem Solved: It removes guesswork about “What will Wiz cost for my environment?” by tying pricing to real parameters like account count, Kubernetes footprint, and compliance scope.

How It Works

You can schedule a Wiz demo directly from the Wiz website. The flow is intentionally light: share basic contact details, get matched with a specialist, and use the live session to map Wiz to your specific cloud and compliance landscape. Pricing is not one‑size‑fits‑all; it’s calibrated to the size and complexity of your environment.

1. Request & Intake:
   Submit the short demo form (work email, company, region). On the follow‑up call or email, you’ll be asked for high‑level deployment details—cloud providers, account count, Kubernetes usage, and key regulations you care about.

2. Personalized Walkthrough:
   In the session, the Wiz team will show how the Wiz Security Graph connects code, cloud, identities, network, data, and runtime. They’ll anchor the demo around your use cases (e.g., CSPM, CNAPP, DSPM, runtime threat detection) and your multi‑cloud reality.

3. Sizing & Quote Alignment:
   Using the details you provide (number of cloud accounts, clusters, workloads, data sensitivity, and compliance scope), Wiz will propose the right set of capabilities and estimate pricing. The goal: an accurate quote and deployment plan, not a generic ballpark.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Personalized environment sizing	Maps license and coverage to your actual account, cluster, and workload footprint	You get a quote that matches reality, not a guess based on averages
Use‑case driven demo	Tailors the walkthrough around your priorities (e.g., attack surface scanning, DSPM, Kubernetes security, runtime detection)	You see how Wiz fits your operating model, not just generic feature slides
Context‑driven pricing discussion	Connects cost to concrete factors: multi‑cloud scope, M&A complexity, compliance obligations	You can justify budget using clear levers—accounts, clusters, data types, regulations

What Details You Should Bring to Your Wiz Demo

You don’t need a perfect CMDB to have a productive session, but having a few specifics at your fingertips will dramatically improve quote accuracy and the usefulness of the conversation.

1. Cloud Footprint: Accounts, Subscriptions, Projects

What to bring:

• Number of AWS accounts
• Number of Azure subscriptions
• Number of GCP projects
• Any other cloud or SaaS platforms you want covered (e.g., containers, pipelines, data platforms)

Why it matters for pricing and coverage:

Wiz is built for large, fragmented environments—especially those grown through acquisitions. The team will use your account/subscription/project counts to:

• Estimate how broad your attack surface scanning needs to be
• Model how many resources the Wiz Security Graph will analyze across code, cloud, identities, and network
• Plan ownership mapping to your org structure (business units, product lines, acquired entities)

Even ballpark ranges (e.g., “~200 AWS accounts,” “dozens of Azure subscriptions”) are enough to get a realistic quote started.

2. Kubernetes & Container Footprint

What to bring:

• Number of Kubernetes clusters (per cloud, if possible)
• Approximate node counts or scale (small demo clusters vs. large production clusters)
• Whether you run:
  • Managed services (EKS, AKS, GKE, etc.)
  • Self‑managed Kubernetes
  • Container platforms (ECS, Nomad, other orchestrators)
• CI/CD systems you rely on (GitHub Actions, GitLab, Azure DevOps, Jenkins, etc.)

Why it matters:

Kubernetes and container usage drives how Wiz secures:

• Workloads and images pre‑deployment (scanning containers and pipelines)
• Cluster configurations and RBAC as part of your cloud attack surface
• Runtime behavior if you choose to deploy the Wiz eBPF Runtime Sensor

Cluster and workload counts help size:

• The depth of deep internal analysis needed in Kubernetes
• How much automation you can drive with the Wiz Green agent opening PRs for code and IaC fixes
• How broadly you want runtime DETECT AND BLOCK coverage across clusters

3. Compliance & Regulatory Requirements

What to bring:

• Standards you must meet or prove:
  • SOC 2, ISO 27001, PCI DSS, HIPAA, HITRUST
  • FedRAMP, GDPR, CCPA, regional data protection laws
• Industry context:
  • Financial services, healthcare, public sector, SaaS, critical infrastructure, etc.
• Any internal policies or SLAs you’ve already defined (e.g., “0 criticals in internet‑exposed resources,” “P1 vulns fixed in 7 days”)

Why it matters:

Your compliance landscape shapes:

• Which policy packs and controls you’ll lean on inside Wiz (e.g., compliance reporting for PCI vs. HIPAA)
• How the Wiz Security Graph should highlight data access chains and DSPM use cases for regulated data
• What reporting and evidence you need for auditors and boards: posture dashboards, attack path closure, “0 criticals” tracking

With this context, the demo team can show:

• How Wiz customers use the platform to automate compliance reporting
• How to go from “we think we’re compliant” to graph‑backed proof of posture and risk reduction

4. Current Tooling & Pain Points

This isn’t strictly required for pricing, but it drives a better conversation.

Helpful details:

• Current tools (CSPM, VM, vulnerability management, SIEM, EDR, container security, XDR)
• Specific problems:
  • Alert overload and CVSS‑only queues
  • Siloed scans across code, cloud, and runtime
  • Remediation stuck in spreadsheets and email threads
• Any M&A complexity (e.g., multiple tenants, legacy cloud accounts, overlapping tools)

Why it matters:

Wiz is often deployed to replace or consolidate 10+ tools into a single operating model. Understanding your starting point lets the team:

• Show where Wiz can retire overlapping tools (CSPM, container security, basic ASM, etc.)
• Demonstrate ownership mapping and routing (Jira/ServiceNow) for engineering‑friendly remediation
• Quantify potential outcomes (faster MTTR, “0 criticals,” reduced manual correlation)

5. Team & Ownership Structure

What to bring:

• Who owns:
  • Cloud platform / SRE
  • Application security
  • Central security operations
• How you map:
  • Services to teams
  • Repos to code owners
  • Accounts/subscriptions to business units

Why it matters:

Wiz leans heavily on ownership mapping so you can:

• Assign the right owner (team, repo, service) for each issue
• Let engineers self‑remediate through PRs, Jira, or ServiceNow tickets
• Enforce realistic remediation SLAs without killing velocity

If you share how your org is structured, the demo can show exactly how Wiz aligns:

• Security findings → specific teams → code‑level fixes and runtime verification

Ideal Use Cases for Scheduling a Wiz Demo

• Best for teams consolidating cloud security tools:
  Because it shows how a single security graph can replace siloed CSPM, container scanning, attack surface monitoring, and parts of XDR—with a quote tied to your real multi‑cloud footprint.

• Best for enterprises facing regulatory pressure and board scrutiny:
  Because you can map your compliance requirements (SOC 2, PCI, HIPAA, FedRAMP, GDPR, etc.) to Wiz’s control sets and reporting, then size pricing around exactly the environments that need to be in‑scope.

Limitations & Considerations

• Pricing is environment‑specific:
  Wiz does not publish one‑size‑fits‑all list pricing. To get an accurate quote, you’ll need to share at least directional numbers for accounts, clusters, and environments. Rough estimates are fine, but “we’ll figure it out later” will only lead to ballparks, not a decision‑grade proposal.

• Some capabilities may roll out in phases:
  Depending on your size, you may choose to start with a subset of use cases (e.g., CSPM + attack surface scanning) and then expand to DSPM or runtime detection. The quote can reflect phased deployment, but being upfront about your roadmap helps the team model it correctly.

Pricing & Plans

Wiz pricing is tailored based on your environment size and the capabilities you adopt. While specific numbers come from the sales team, the core levers influencing your quote usually include:

• Number of cloud accounts/subscriptions/projects
• Scope of Kubernetes and container workloads
• Coverage for code → cloud → runtime (e.g., including runtime sensor and SecOps use cases)
• Use cases such as CSPM, CNAPP, DSPM, attack surface management, runtime threat detection

Common patterns include:

• Foundational Cloud & Posture Plan:
  Best for teams needing agentless, multi‑cloud visibility and strong CSPM/CNAPP coverage—ideal when your primary requirement is mapping risk across AWS, Azure, GCP and prioritizing based on exposure, identity paths, and blast radius.

• Full Code‑to‑Runtime Protection Plan:
  Best for teams that want end‑to‑end coverage: secure code and pipelines, cloud resources, Kubernetes, and runtime with the eBPF Runtime Sensor. This option is suited to organizations aiming for “security at AI speed” with the Wiz Green, Red, and Blue agents automating fixes, attack path discovery, and SecOps investigations.

Your demo is where the team will align which plan structure fits your environment and budget, then tune the quote using your account, cluster, and compliance details.

Frequently Asked Questions

Can I schedule a Wiz demo even if I don’t know my exact account and cluster counts?

Short Answer: Yes. You can absolutely schedule a demo with rough estimates, and refine details later for a final quote.

Details:
The demo request form itself doesn’t require precise inventory numbers. In the live conversation, approximate figures like “~150 AWS accounts and ~40 Azure subscriptions” or “around a dozen production Kubernetes clusters” are enough to model coverage and give you a directional quote. As you progress toward procurement, sharing more precise counts helps lock in pricing and ensure the deployment plan matches reality.

Do I need to share compliance requirements to get an accurate Wiz quote?

Short Answer: It’s not mandatory, but it significantly improves quote accuracy and the relevance of the demo.

Details:
Your regulatory obligations drive how broadly you’ll use Wiz’s capabilities—especially for DSPM, data access chains, and compliance reporting. If you’re in a heavily regulated industry (finance, healthcare, public sector), or you must prove alignment to SOC 2, PCI, HIPAA, or FedRAMP, that will influence the scope of environments in‑scope and the controls you depend on. Sharing this up front lets Wiz:

• Tailor the demo to your auditors’ expectations
• Highlight the right reporting views
• Size pricing around the environments and data that must be covered to pass audits and reduce material risk

Summary

You can schedule a Wiz demo directly from wiz.io with minimal friction, and the session is designed to be both a technical deep dive and a sizing conversation. To get an accurate quote—and a demo that reflects your real world—come prepared with:

• Approximate cloud account/subscription/project counts
• Your Kubernetes and container footprint
• Key compliance and regulatory requirements
• A snapshot of your current tooling, pain points, and team structure

With that context, the Wiz team can show how the security graph will model your environment, how the AI‑powered agents will convert exposures into code fixes and validated incidents, and how pricing scales with your actual footprint—not an abstract average.

Next Step

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