Arbitex Gateway vs. Wiz
Wiz is a Cloud Security Posture Management (CSPM) and Cloud Native Application Protection Platform (CNAPP). It scans cloud infrastructure — IaaS and PaaS — for misconfigurations, vulnerabilities, excessive permissions, and exposed secrets. It is an infrastructure security tool operating at the configuration and resource layer. Arbitex Gateway sits at the AI request and response layer: between your applications and AI model APIs. It intercepts every prompt and response, enforces DLP and compliance policy, and produces an immutable audit record. Wiz secures your cloud infrastructure. Arbitex secures your AI application layer.
Feature Comparison
| Capability | Wiz | Arbitex Gateway |
|---|---|---|
| Real-time AI request/response governance | ✕ CSPM/CNAPP scope is infrastructure — Wiz scans cloud resources and configurations, not live AI prompt and response traffic | ✓ Real-time inspection of every AI request before any model receives the data — and every response before it reaches the user |
| Sensitive data detection in AI prompts | ✕ Detects secrets and credentials in code and cloud configs — not designed to inspect natural language AI prompt and response content | ✓ Multi-tier DLP pipeline on every AI prompt and response — pattern matching, ML-based entity recognition, and ML classifiers |
| Cloud infrastructure misconfiguration detection | ✓ Core CSPM function — scans IaaS/PaaS resources for security misconfigurations, excessive permissions, and exposed attack surface | ✕ Not in scope — Arbitex governs AI model traffic at the application layer, not cloud infrastructure configuration |
| Vulnerability scanning across cloud workloads | ✓ Agentless workload scanning for CVEs, vulnerable packages, and container image vulnerabilities across cloud environments | ✕ Not in scope — Arbitex operates at the AI request and response layer, not the workload or vulnerability layer |
| AI compliance policy enforcement | ✕ No AI governance policy engine — Wiz enforces cloud security best practices, not AI usage compliance frameworks | ✓ PCI-DSS, HIPAA, SOX, GDPR enforcement at every AI request — BLOCK, REDACT, and ALERT actions on every violation |
| Multi-LLM routing and provider management | ✕ Not applicable — Wiz does not route or manage AI model traffic | ✓ Single endpoint for 6+ AI providers with automatic failover, latency-based routing, and cost controls |
| Audit log of AI model interactions | ✕ Produces cloud security posture and finding records — not per-request AI interaction audit logs with cryptographic integrity | ✓ Cryptographically signed, immutable audit record for every AI request, enforcement decision, and detection event |
| Identity governance for AI access | ~ IAM posture analysis — identifies over-permissioned cloud identities, but does not govern AI model access with SAML/SCIM/MFA | ✓ Full identity stack for AI access: SAML 2.0, SCIM 2.0, MFA enforcement, and API key management with rotation |
Where Arbitex Gateway Wins
Infrastructure security and AI application security are different problems
Wiz is excellent at securing cloud infrastructure: finding the S3 bucket with public read access, the IAM role with excessive permissions, the container image with a critical CVE, or the exposed admin credential in a Git repository. These are infrastructure-layer risks and Wiz is built to find them. When an employee submits a prompt to an AI model containing PHI, PCI data, or regulated information, Wiz is not in that request path. The infrastructure can be perfectly configured — no misconfigurations, no excessive permissions, no exposed secrets — and an AI governance gap can still exist at the application layer. Arbitex Gateway closes that gap.
Secrets in configs vs. sensitive data in AI prompts
Wiz detects secrets and credentials embedded in infrastructure configurations — API keys in environment variables, hard-coded credentials in source code, AWS access keys committed to Git. This is credential hygiene at the infrastructure layer. Arbitex Gateway addresses a different problem: sensitive data appearing in natural language AI prompts in real time. When a user asks an AI model to summarize a patient record, draft a contract with client financial data, or debug code containing authentication tokens, that content is in the AI request payload — not a cloud configuration. Arbitex inspects that payload and enforces policy before any model processes the data.
AI compliance requires being in the request path
HIPAA, PCI-DSS, and SOX compliance obligations for AI usage require enforcement at the AI request boundary — not retrospective scanning of cloud infrastructure. A CSPM tool can confirm that your cloud environment is properly configured, but it cannot produce the compliance record that demonstrates a specific prompt was inspected, a PHI detection occurred, and a BLOCK enforcement action was taken on request ID X at timestamp Y. Arbitex Gateway is in the AI request path. Every enforcement action produces a signed record that satisfies regulatory audit requirements at the point of enforcement, not after the fact.
When Arbitex is the right choice
Wiz is the right choice when your concern is cloud infrastructure security: misconfigurations, vulnerabilities, lateral movement risk, and exposed attack surface across your cloud environment. It is a strong tool for cloud security engineering and operations teams. Arbitex Gateway is the right choice when your concern is what AI models see and respond with — when you need to govern, audit, and enforce policy on AI requests across every application and workflow in your organization. For regulated industries deploying AI at scale, both infrastructure security and AI application governance are necessary. They address different layers of the stack.
Related Resources
See Arbitex Gateway in action
Govern every AI request. Enforce compliance at the model boundary. Produce the audit record regulators require.