Microsoft Security Copilot
An AI helper for security teams built into Microsoft Defender and Sentinel that explains threats in plain English and bills by the hour.
Cloud security features that find and secure the AI models and services running in your cloud accounts, with no agent to install.
Wiz AI refers to the AI security features inside the Wiz cloud security platform, a tool that scans cloud accounts for risk. The AI-SPM feature finds every AI model, AI agent, and AI service across your cloud accounts without installing software on each one. It builds an AI bill of materials, a map of which models connect to which data and cloud services. It checks for common misconfigurations in services like Amazon Bedrock and OpenAI connections, and watches for risks like prompt injection while systems run. Everything ties back into Wiz's main risk graph, so an AI risk shows up next to the cloud misconfigurations connected to it.
This fits a company already using Wiz for cloud security, or one starting to adopt AI services like Bedrock, SageMaker, or OpenAI's API in its cloud accounts and wanting visibility into shadow AI use before writing an AI policy. A practical starting point is the free AI inventory scan Wiz offers; run it, then decide how much of AI-SPM to license. Wiz does not publish pricing; expect a quote tied to your cloud workload count, and treat any number you find online as a rough planning estimate. One risk: AI-SPM adds real value mainly once you already run real AI workloads in the cloud. A company still early in AI adoption may get more value from core Wiz cloud security instead.
The industries and leadership roles this tool is most often matched with.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $96.1K | $149.6K | $238K |
| Three-year total | $214.6K | $320.8K | $490.6K |
| First-year cost per unit | $96.1K | $149.6K | $238K |
| Average annual cost per unit (over three years) | $71.5K | $106.9K | $163.5K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $36K | $48K | $64.8K |
| Implementation | $14.4K | $24K | $40.8K |
| Integration | $15.4K | $28K | $50.4K |
| Staff time and change management | $9.8K | $14K | $19.6K |
| Security | $7.7K | $11K | $16.5K |
| Administration | $5.6K | $7.5K | $10.1K |
| Support | $2.6K | $3.5K | $4.7K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Wiz AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Export the Wiz asset inventory, security graph findings, attack paths, policies, exceptions, owners, remediation evidence, and audit history. Cloud resources remain in the providers, but graph context and prioritization do not; keep connectors active until a replacement has equivalent multicloud coverage.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
An AI helper for security teams built into Microsoft Defender and Sentinel that explains threats in plain English and bills by the hour.
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Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
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