What Wiz AI does
Wiz AI combines the Security Graph, Mika assistant, specialized Red, Blue, and Green agents, no-code workflows, MCP connectivity, and AI application protection.
Wiz AI is grounded in the Wiz Security Graph rather than operating as an isolated assistant. The graph relates cloud resources, code, identities, permissions, network exposure, vulnerabilities, data, ownership, and runtime signals. Mika offers a conversational interface to that context. Red Agent performs offensive validation, Blue Agent investigates alerts and blast radius, and Green Agent prepares contextual remediation. Visual workflows chain those capabilities, while the MCP server can expose permitted graph context to custom agents, internal knowledge systems, and developer environments.
Wiz also applies the graph to AI Application Protection. AI-APP inventories managed, SaaS, custom, and self-hosted AI systems and maps models, agents, tools, data flows, identities, and infrastructure. This supports AI-SPM, code-to-cloud analysis, and runtime detection for risks such as exposed endpoints, excessive permissions, sensitive training data, prompt injection, and unsafe agent action. Wiz does not publish a stable rate card; pricing depends on cloud accounts, workloads, products, data, code and runtime scope, users, services, support, and contract, requiring a tailored quote.
Graph context can prioritize risk, but connectors may be incomplete, identities can be misattributed, exploitability can change, and generated remediation can break infrastructure or application behavior. Offensive validation must be authorized and rate-limited. MCP broadens the trust boundary by allowing other agents to query security context, so tool permissions, secrets, logging, tenant boundaries, and prompt injection require explicit controls. Begin with read-only inventory and investigation, validate attack paths manually, route code fixes through pull requests and tests, and require owner approval and rollback for cloud, identity, network, or data changes.
How Wiz AI works
Agentless cloud connectors and code or runtime integrations populate the Wiz Security Graph with resources, identities, permissions, exposure, vulnerabilities, data, and ownership. Mika and specialized agents query that context, validate attack paths, investigate incidents, or propose source-level remediation. Workflows and MCP can route findings into other tools, while owners verify evidence and approve changes.
Map code-to-runtime relationships
Agentless connectors and integrations populate the Security Graph with cloud assets, code, identities, permissions, exposure, vulnerabilities, data, ownership, AI systems, and runtime signals.
Find contextual attack paths
Mika and agents query graph relationships to distinguish isolated findings from toxic combinations and reachable risk. Analysts verify connector coverage, identity chains, asset freshness, and actual exploitability.
Validate and explain impact
Red Agent tests authorized exposure, Blue Agent correlates evidence and blast radius, and AI-APP analyzes AI systems. Offensive work must remain scoped, safe, logged, and rate-limited.
Route fixes through owners
Green Agent and workflows propose source-level changes or tickets. Code follows pull-request tests; cloud and identity actions require owner approval, least privilege, evidence, and rollback.
How to set up Wiz AI
Inventory clouds and trust boundaries
Map accounts, subscriptions, projects, code, CI/CD, identities, data, AI systems, runtime, owners, critical services, regulations, and current security tools.
Obtain exact platform scope
Request pricing for cloud and workload scale, CNAPP, AI-APP, code, runtime, agents, workflows, MCP, data, services, support, region, and contract.
Connect with least privilege
Use vendor-recommended read-only connectors first, restrict projects and teams, validate tenant separation, protect secrets, and define retention and audit access.
Benchmark graph and agents
Test known attack paths, false positives, identity chains, stale assets, unreachable resources, AI systems, adversarial prompts, MCP boundaries, and missing telemetry.
Govern remediation
Send code fixes through review and tests, require owner approval for cloud changes, constrain offensive actions, preserve evidence and rollback, and monitor overrides and failures.
Wiz AI FAQs
How much does Wiz AI cost?
Wiz uses custom enterprise pricing based on cloud and workload scope, selected products, data, users, services, support, and contract. Request a complete quote.
What is the Wiz Security Graph?
It maps relationships among code, cloud resources, identities, permissions, network exposure, vulnerabilities, data, ownership, and runtime signals to provide contextual risk.
What do Wiz's Red, Blue, and Green agents do?
Red validates exploitability, Blue investigates evidence and blast radius, and Green prepares contextual remediation. Exact availability depends on platform packaging.
What is Wiz AI-APP?
It inventories and protects AI applications from code to runtime, including models, agents, tools, data flows, infrastructure, permissions, posture, and active threats.
Should Wiz agents remediate production automatically?
Start with read-only investigation. Route code through pull requests and tests, require owner approval for infrastructure changes, and maintain logs, scope limits, and rollback.
Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.
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