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Fivo Connect vs
Private AI Security

Private AI is an enterprise DLP tool that frequently relies on SaaS API endpoints or complex multi-container Docker deployments. Fivo Connect is designed from the ground up as a zero-dependency, self-hosted VPC binary that ensures zero data egress.

Core Architectural Gaps Solved By Fivo

How routing, protection, and synchronization frameworks adapt to secure high-intent enterprise developer workflows.

01

100% Local Custody

Deploy as a single compiled executable inside your VPC. Sensitive data parameters never leave your local subnets.

02

Sub-millisecond Latency

Rust-powered scanning avoids heavy ML container layers or HTTP overhead of external APIs.

03

Round-Trip Reversal

Swaps placeholder values back to original text parameters automatically in callback loops.

04

Compliance Sandbox

Maintains strict SOC 2, HIPAA, and GDPR boundaries. Original data stays under your direct custody.

Feature Comparison Matrix

An honest technical specification breakdown mapping Fivo capabilities directly against alternatives.

\n \n \n \n
Feature / Metric Fivo Connect Private AI
Primary Deployment Self-Hosted Local VPC Binary SaaS API or Heavy Docker Containers
Data Custody 100% Local (Sensitive data never exits VPC) Transmits raw text to SaaS endpoints
Execution Overhead Zero external dependencies Requires orchestration or Python runtimes
Response Reversal Yes (Automated mapping callbacks) Requires manual mapping configurations
Syntactic Code Parsing Yes (Obfuscates source code logic) Limited to standard text/PII regex patterns
Architectural Comparison

The Compliance Risk of SaaS DLP Scanners

Sending sensitive corporate files or Protected Health Information (PHI) to an external SaaS endpoint for scanning is a compliance paradox.

The act of transmitting raw data over the web violates security frameworks like HIPAA, GDPR, and SOC 2.

Fivo Connect ensures that true security happens locally inside your VPC, before any network egress occurs.

Zero-Dependency Executable Architecture

Alternative solutions require deploying multiple containers or managing local Kubernetes clusters just to run scanning models.

Fivo Connect is compiled as a single, zero-dependency executable binary.

It runs with sub-millisecond latency and fits into standard developer pipelines without infrastructure bloat.

Two-Way Mapping Security

Fivo Connect manages placeholder mapping keys in secure, local encrypted memory.

The mapping table is maintained within your VPC, guaranteeing public cloud LLMs never see the original identifiers.

JSON Security Policy Config
Implementation Example
// config.json - Fivo Connect VPC security policy
{
  "version": "1.2.0",
  "port": 9090,
  "data_privacy": {
    "mask_pii": true,
    "mask_phi": true,
    "mask_credentials": true,
    "custom_regex_patterns": [
      {
        "name": "INTERNAL_PROJECT",
        "pattern": "PRJ-[0-9]{4}",
        "replacement": "[PROJECT_ID_MASKED]"
      }
    ]
  },
  "obfuscation": {
    "source_code": {
      "languages": ["typescript", "python"],
      "obfuscate_variable_names": true,
      "strip_comments": true
    }
  }
}
Frequently Asked Questions
How does Fivo Connect run without external database dependencies?
Fivo Connect compiles its token mapping engine and pattern library into a single executable binary. It uses lightweight, highly optimized local regex engines and syntax-based parsers to process data in memory without external database lookups.
Is my data ever uploaded to Fivo's cloud servers?
No. Fivo Connect is 100% self-hosted. It operates inside your VPC or local infrastructure, meaning your data remains under your control.
Can I execute Connect behind a strict corporate firewall with internet egress blocked?
Yes. Fivo Connect does not require access to the public internet to run. You can deploy it in isolated network environments.

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