Arbitex Gateway vs. Cyera
Cyera is a Data Security Posture Management (DSPM) platform that discovers, classifies, and monitors sensitive data at rest across cloud data stores — S3, GCS, Azure Blob, Snowflake, databases. It is purpose-built for cloud data governance: finding where your sensitive data lives and ensuring it is properly secured. Arbitex Gateway operates at a different layer entirely. It intercepts AI model requests and responses in real time — before prompts reach any model — and enforces DLP, policy, and compliance controls at the AI layer. Cyera secures your data stores. Arbitex secures the AI access layer.
Feature Comparison
| Capability | Cyera | Arbitex Gateway |
|---|---|---|
| Real-time AI prompt/response inspection | ✕ Not in scope — Cyera scans data at rest in cloud stores, not live AI model traffic | ✓ Core function — every AI request and response inspected before any model receives the data |
| Sensitive data detection in AI prompts | ✕ DSPM scans data at rest, not AI traffic — prompts sent to models are outside Cyera's inspection scope | ✓ Multi-tier DLP pipeline on every request — pattern matching, ML-based entity recognition, and ML classifiers |
| Data discovery and classification across cloud stores | ✓ Core DSPM function — discovers and classifies PII/PHI across S3, GCS, Azure Blob, Snowflake, and databases | ✕ Not in scope — Arbitex governs AI model traffic, not cloud data stores |
| Compliance enforcement for AI usage | ✕ Covers data posture at rest — does not enforce compliance on AI request and response content | ✓ HIPAA, PCI-DSS, SOX, GDPR policy enforcement at the AI layer on every request |
| Multi-provider AI model routing | ✕ Not applicable — DSPM scope is cloud data discovery and classification, not AI model routing | ✓ Single endpoint for OpenAI, Anthropic, Google, Azure, and more — with failover and cost controls |
| Real-time audit log of AI activity | ✕ Produces data classification and posture records — not per-request AI interaction audit logs | ✓ Immutable, cryptographically signed audit record for every AI request and enforcement event |
| Policy engine for AI governance | ✕ No AI governance policy engine — Cyera manages data policies for classification and access, not AI prompt rules | ✓ Rule-based and ML detection with BLOCK, REDACT, and ALERT actions at the AI model boundary |
| Enterprise identity (SAML, SCIM, MFA) | ~ Limited — provides access controls for its platform but not a full SAML/SCIM/WebAuthn stack for AI gateway access | ✓ Full identity stack: SAML 2.0, SCIM 2.0, WebAuthn/FIDO2, MFA, and OIDC enforcement |
Where Arbitex Gateway Wins
DSPM does not govern what AI models see
Cyera is excellent at answering the question: where is sensitive data stored, and is it properly secured at rest? It classifies data across cloud stores and generates a posture view of your data landscape. That is a genuinely valuable capability for cloud data governance teams. But when an employee or service submits a prompt to an AI model containing PHI, PCI data, or other regulated information, the DSPM platform is not in that request path. Cyera cannot intercept the prompt, cannot inspect the payload, and cannot enforce a compliance policy before the data reaches a model. Arbitex Gateway is purpose-built for exactly that gap.
The AI layer is a new data exposure surface
Traditional data security tools — including DSPM platforms — were designed for structured data flows: databases, file systems, object stores. AI model interactions are a fundamentally different exposure surface. Sensitive data does not transit a storage layer where it can be scanned and classified at rest. It appears in natural language prompts, in real time, flowing directly to AI models and back. Governing this surface requires inspection at the AI request layer, not retrospective scanning of data stores. Arbitex Gateway sits in the path of every AI request — before any model receives the data — and enforces the controls that regulated environments require.
Compliance at the AI boundary, not just the data store
Knowing that PHI exists in a database is necessary. Knowing that PHI was submitted to an AI model — and having the proof that it was blocked or redacted before the model processed it — is a different compliance requirement entirely. HIPAA's Minimum Necessary standard, PCI-DSS scope controls, and SOX data governance obligations extend to AI usage. Arbitex Gateway enforces these frameworks at the AI request layer and produces an immutable, per-request audit record that demonstrates compliance was enforced at enforcement time — not assembled from data store scans after the fact.
When Arbitex is the right choice
Cyera is the right choice when your concern is shadow data — sensitive information in S3 buckets, Snowflake tables, or cloud databases that your security team has not fully catalogued or secured. It provides data lineage, classification, and posture management across your cloud data estate. 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 the AI access layer across every team and every workflow in your organization. These tools address different problems and can be complementary in a mature data security architecture.
Related Resources
See Arbitex Gateway in action
Govern every AI request. Enforce compliance at the model boundary. Produce the audit record regulators require.