Zantaz Legacy UI Capture: Auditing 20 Years of Compliance Data Flows

A regulatory auditor sits across from your compliance team, requesting a granular data lineage report for a series of emails archived in 2004. Your team opens the Zantaz EAS (Enterprise Archive Solution) interface, only to find the legacy web component requires Internet Explorer 6 and a specific version of Java that hasn't been supported since the Obama administration. This isn't just a technical hurdle; it’s a multi-million dollar compliance risk. When the interface that governs your data is dying, your data is effectively dead.

The "Zantaz legacy capture auditing" process is no longer just about keeping old servers running; it is about extracting the business logic and user workflows that have governed financial and legal records for two decades.

TL;DR: Modernizing Zantaz legacy systems is often stalled by a lack of documentation (67% of legacy systems) and the risk of breaking compliance trails. Replay enables visual reverse engineering, allowing teams to record legacy workflows and automatically generate documented React components and data flow maps. This reduces the manual effort of screen reconstruction from 40 hours to just 4 hours, saving up to 70% in modernization timelines.

The High Cost of the "Black Box" Archive#

Zantaz was once the gold standard for SEC 17a-4 compliance, but today these installations represent a significant portion of the $3.6 trillion global technical debt. Most organizations find themselves trapped in a "keep the lights on" cycle because the cost of a full rewrite is prohibitive. Industry experts recommend that instead of a blind migration, firms should focus on zantaz legacy capture auditing to understand exactly how users interact with compliance data before moving it to a modern cloud-native stack.

According to Replay's analysis, 70% of legacy rewrites fail or exceed their original timeline because the underlying business logic is buried in the UI layer. In Zantaz, much of this logic—how a "Legal Hold" is applied or how "Search Strings" are parsed—is hidden within ActiveX controls or outdated JavaScript frameworks.

Visual Reverse Engineering is the process of capturing these live interactions and converting them into structured technical specifications and code without needing access to the original source code.

Challenges in Zantaz Legacy Capture Auditing#

Auditing a 20-year-old system presents unique architectural challenges that standard migration tools cannot solve:

1. •Dependency Hell: Zantaz UIs often rely on specific browser versions that cannot run on modern, secure OS environments.
2. •Undocumented Workflows: 67% of legacy systems lack documentation, meaning the "why" behind a specific compliance flow is lost to time.
3. •Data Silos: The UI might show a unified view of an email, but the data is being pulled from disparate, legacy SQL schemas that no one remembers how to query.
4. •Audit Trail Integrity: Any modernization must prove that the "New UI" interprets the "Old Data" with 100% fidelity.

By using Replay, enterprises can record these legacy sessions. Replay’s AI Automation Suite analyzes the video of the Zantaz interface, identifies the components (buttons, grids, search bars), and maps the data flows that occur during an audit.

Comparison: Manual Audit vs. Replay-Assisted Auditing#

Technical Implementation: Mapping Zantaz Flows to React#

When performing zantaz legacy capture auditing, the goal is to transform a brittle UI into a modern, maintainable Design System. Replay’s "Blueprints" editor allows architects to take the captured legacy flows and define how they should behave in a modern React environment.

Consider a typical Zantaz search results table. In the legacy system, this might be an HTML table with inline event handlers. Using Replay, we can extract this into a TypeScript-based React component library.

Example: Transforming a Legacy Result Grid#

Below is a representation of how a captured Zantaz grid is transformed into a modern, type-safe React component using the data extracted during the capture phase.

typescript
// Generated via Replay AI Automation Suite
import React from 'react';
import { DataGrid, GridColDef } from '@mui/x-data-grid';

interface ZantazArchiveRecord {
  id: string;
  sender: string;
  recipient: string;
  subject: string;
  timestamp: string;
  hasLegalHold: boolean;
}

const columns: GridColDef[] = [
  { field: 'sender', headerName: 'Sender', width: 200 },
  { field: 'recipient', headerName: 'Recipient', width: 200 },
  { field: 'subject', headerName: 'Subject', width: 400 },
  { 
    field: 'timestamp', 
    headerName: 'Archive Date', 
    type: 'dateTime',
    valueGetter: (params) => new Date(params.value)
  },
  { field: 'hasLegalHold', headerName: 'Hold Status', type: 'boolean' }
];

export const ComplianceResultGrid: React.FC<{ data: ZantazArchiveRecord[] }> = ({ data }) => {
  return (
    <div style={{ height: 600, width: '100%' }}>
      <DataGrid 
        rows={data} 
        columns={columns} 
        checkboxSelection 
        disableSelectionOnClick
        // Replay Flow Note: Original Zantaz logic for legal hold 
        // required a double-click event to trigger the modal.
      />
    </div>
  );
};

This transition ensures that the audit trail remains intact while the underlying technology is modernized. For more on this process, see our guide on Reverse Engineering Legacy UI.

Strategic Auditing of Data Flows#

The most critical part of zantaz legacy capture auditing is identifying the "Flows." In an enterprise archive, a flow might be: Search -> Filter by Date -> Select Batch -> Apply Retention Policy.

If a developer tries to rewrite this from scratch, they often miss the edge cases—like how Zantaz handles encrypted attachments or nested folder structures. Replay captures these "hidden" flows by recording the actual user behavior.

Video-to-code is the process of taking these recorded sessions and using AI to generate the underlying component logic and architectural diagrams.

Mapping the Data Lineage#

To maintain compliance, you must document how data moves from the legacy Zantaz SQL backend through the UI to the auditor's screen.

typescript
/**
 * Legacy Data Mapping Interface
 * Target: Zantaz EAS v6.2
 * Purpose: Ensure 1:1 parity during UI modernization
 */

export interface LegacyAuditFlow {
  sourceSystem: "Zantaz_EAS";
  actionType: "SEARCH" | "EXPORT" | "HOLD_APPLY";
  originalPayload: {
    query_string: string;
    vault_id: number;
    user_token: string;
  };
  modernEquivalent: {
    apiEndpoint: string;
    authMethod: "OAuth2";
  };
  validationStatus: "VERIFIED" | "PENDING";
}

const auditMapping: LegacyAuditFlow = {
  sourceSystem: "Zantaz_EAS",
  actionType: "SEARCH",
  originalPayload: {
    query_string: "subject: 'Project X'",
    vault_id: 1042,
    user_token: "A9382-XZ"
  },
  modernEquivalent: {
    apiEndpoint: "/api/v1/archive/search",
    authMethod: "OAuth2"
  },
  validationStatus: "VERIFIED"
};

By explicitly mapping these flows, organizations can bypass the 18-month average enterprise rewrite timeline. Instead of guessing how the legacy system worked, the "Flows" feature in Replay provides a visual map of the architecture.

Why Visual Capture Beats Manual Documentation#

Most Zantaz systems have been through multiple migrations, acquisitions, and "quick fixes." The original source code is often a "spaghetti" of different eras. Manual documentation is not only slow—it's often wrong.

Industry experts recommend a "Capture-First" approach for zantaz legacy capture auditing. By capturing the UI, you are capturing the "Source of Truth" for the end-user. If the UI shows a specific date format or a specific set of metadata, that is what the auditor expects to see in the modernized version.

The Replay Advantage in Regulated Industries#

For sectors like Financial Services and Healthcare, "good enough" isn't an option. Replay is built for these regulated environments:

• •SOC2 & HIPAA-Ready: Ensures that the capture process itself doesn't violate data privacy.
• •On-Premise Availability: Keep your sensitive Zantaz data within your firewall while the Replay engine generates your modern React library.
• •Audit-Ready Blueprints: Every component generated comes with a lineage back to the original legacy recording.

When you perform zantaz legacy capture auditing with Replay, you aren't just moving code; you are preserving the institutional knowledge of your compliance department. You can learn more about managing these transitions in our article on Enterprise Modernization Strategies.

Scaling the Modernization: From One Screen to a Library#

Once the initial Zantaz screens are captured, Replay’s "Library" feature aggregates these into a unified Design System. This is crucial for large-scale legacy estates where multiple versions of Zantaz or other archiving tools (like Symantec Enterprise Vault) might be in use.

Instead of building 50 different search screens, Replay identifies the common patterns across your recordings and suggests a single, reusable

component. This is where the 70% time savings truly manifest. You move from "bespoke manual rewrites" to "automated component assembly."

1. •Record: Capture the legacy Zantaz workflows.
2. •Analyze: Replay identifies components and data triggers.
3. •Generate: Export documented React code and a Figma-ready Design System.
4. •Deploy: Integrate the new components into your modern cloud-native compliance dashboard.

Final Thoughts on Zantaz Legacy Capture Auditing#

The clock is ticking on legacy archiving systems. As the underlying infrastructure (OS, browsers, hardware) reaches true end-of-life, the risk of a "blind audit"—where data exists but cannot be accessed—grows daily.

Using zantaz legacy capture auditing as a strategy allows you to bridge the gap between 20 years of compliance history and the modern React-based future. By leveraging Replay, you turn a daunting 18-month migration into a streamlined, automated process that preserves your data integrity and your peace of mind.

Frequently Asked Questions#

What is the primary risk of not performing a zantaz legacy capture auditing?#

The primary risk is "Data Inaccessibility." If the legacy UI fails and there is no documented map of how the interface interacted with the backend archives, retrieving specific records for legal or regulatory requests becomes nearly impossible, leading to massive fines and legal exposure.

How does Replay handle sensitive data during the capture process?#

Replay is designed for regulated industries like finance and healthcare. It offers on-premise deployment options and is SOC2 and HIPAA-ready. During the capture process, sensitive data can be masked, ensuring that only the UI structure and workflow logic are used to generate the modern React components.

Can Replay generate code for frameworks other than React?#

While Replay is optimized for generating high-quality, documented React code and Design Systems, the architectural "Blueprints" and "Flows" extracted from the legacy UI capture provide a technology-agnostic map that can inform modernization in any modern framework, including Vue or Angular.

How does visual reverse engineering differ from standard screen scraping?#

Screen scraping simply extracts text or data from a screen. Visual reverse engineering with Replay goes much deeper; it identifies the functional intent of components, maps user interaction flows, captures data triggers, and generates maintainable, production-ready code that mimics the original business logic.

Is it possible to modernize Zantaz without having the original source code?#

Yes. This is the core value of zantaz legacy capture auditing via Replay. By recording the UI in action, Replay reconstructs the "functional requirements" and "component architecture" from the outside in, allowing you to build a perfect modern replacement without ever opening a legacy source file.

Ready to modernize without rewriting? Book a pilot with Replay