Arbitex Gateway vs. Trellix DLP
Trellix (formerly McAfee Enterprise and FireEye) is a security platform spanning endpoint protection, network DLP, email security, and threat intelligence. Its DLP capabilities cover traditional data loss vectors: endpoint file movement, network egress, and email content. Arbitex Gateway addresses the AI model request surface — the new exfiltration vector that enterprise DLP platforms were not designed to govern.
Feature Comparison
| Capability | Trellix DLP | Arbitex Gateway |
|---|---|---|
| AI model request governance (real-time, pre-model) | ✕ Not in scope — Trellix DLP covers endpoint/network/email channels, not AI API traffic | ✓ Core product purpose — every AI request inspected and governed before reaching any model |
| Hybrid deployment — data plane in your VPC | ✕ On-prem + cloud agent model — no customer-managed AI governance plane | ✓ Hybrid Outpost runs inside your VPC; AI traffic inspected entirely within your environment |
| 3-tier DLP pipeline for AI content | ✕ Pattern-based DLP for traditional channels — no ML-based entity recognition pipeline purpose-built for AI prompts | ✓ 80+ regex detectors → ML-based entity recognition → contextual analysis, running on every AI request |
| Pre-built compliance bundles (12 frameworks) | ✕ Compliance rules require configuration per regulation — no pre-built AI governance bundles | ✓ 12 pre-configured compliance frameworks enforced at the AI model boundary out of the box |
| Tamper-proof audit logging | ✕ Standard DLP event logs — no cryptographic chain of custody for AI governance decisions | ✓ Every AI request, detection, and enforcement action in an immutable tamper-proof log |
| Multi-LLM provider routing (9+ providers) | ✕ No AI provider routing — Trellix governs traditional network and endpoint egress | ✓ Route AI traffic across 9+ providers under a single compliance policy layer |
| Policy enforcement on AI model responses | ✕ No visibility into AI model response content or response-layer DLP | ✓ Every model response inspected and governed by the same pipeline as the request |
| Fail-closed enforcement at the AI layer | ✕ Trellix DLP enforcement targets traditional channels — AI layer is not in scope | ✓ Policy evaluation failure → request blocked, not passed; fail-closed by design |
Where Arbitex Gateway Wins
Trellix DLP is not in the AI model request path
Trellix's DLP capabilities were built around traditional data loss vectors — endpoint agent monitoring, network traffic inspection, and email content scanning. These channels cover file movement, USB transfers, and web uploads. When enterprise users submit prompts to AI models, or when developers integrate model APIs into production applications, that traffic does not route through Trellix DLP agents. Arbitex Gateway is the enforcement layer for this new surface — governing every AI request and response before data reaches any model.
Enterprise-grade compliance at the AI boundary
Trellix's compliance capabilities rely on policy teams to configure rules per regulation across its agent-based deployment. For AI model traffic — a channel Trellix was not designed to govern — there are no pre-built frameworks to activate. Arbitex ships 12 compliance bundles as executable policy sets covering HIPAA, PCI-DSS, SOX, GDPR, and others. Activate a bundle and every AI request is automatically governed under that framework. No custom engineering required to cover the AI-specific compliance risk.
A 3-tier inspection pipeline purpose-built for AI content
Trellix DLP's pattern detection was designed for structured data in traditional channels — identifying card numbers in email, SSNs in file transfers. AI prompts and responses are dense, mixed-context natural language that requires more than pattern matching. Arbitex's 3-tier pipeline applies 80+ regex patterns, then ML-based entity recognition for free-text identification, then contextual analysis to resolve ambiguity. This pipeline runs on every AI request and response — not as an afterthought, but as the governing architecture.
An audit trail for AI governance, not network DLP
Trellix produces audit logs capturing network and endpoint DLP events — policy violations on traditional channels. These records do not contain the AI governance evidence regulators increasingly require: which prompt contained PHI, which response triggered a compliance bundle, which enforcement action was applied and under which framework. Arbitex's tamper-proof audit log creates a cryptographically immutable record of every AI governance decision, structured for SIEM integration and regulatory examination.
Related Resources
See Arbitex Gateway in action
Govern every AI request. Enforce compliance at the model boundary. Produce the audit record that holds up in an examination.