Qyrus Named a Leader in The Forrester WaveTM: Autonomous Testing Platforms, Q4 2025 – Read More

Application Discovery  ·  Dependency Mapping  ·  Legacy Modernization

You cannot modernize
a black box.

Stop relying on outdated spreadsheets and tribal knowledge to plan your transformation. Qyrus Auto Discovery continuously maps your applications, hidden dependencies, and infrastructure in real time

 

  • 100% Complete visibility across on-prem, cloud, and hybrid
  • Real-Time Continuous discovery—always current, never stale
  • 180+ Zombie apps discovered in one customer assessment
Shadow-IT-Discovery

How it works

How Auto Discovery Works
in QyrusAI.

Our Auto-Discovery Engine continuously scans and maps your entire enterprise environment—capturing cloud infrastructure, on-premise systems, hybrid architectures, applications, and microservices in real-time

Shadow-IT-Discovery

We identify more than just the assets. Qyrus maps the complex, multi-tier relationships and dependencies between every single system.

This data feeds the Qyrus Enterprise Knowledge Graph, creating a living, contextual model of your entire IT ecosystem. It serves as the definitive “brain” of your IT operations.

With a complete contextual model in place, Qyrus enables AI-driven insights, intelligent incident management, and automated remediation workflows.

Challenges

You are making multi-million dollar decisions
based on assumptions.

Most enterprise IT teams have tools that can scan a network and spit out a massive, flat list of servers, IPs, and applications. But when a critical service goes down, or you are tasked with modernizing a legacy system, a flat list is useless. Leading to:

Outdated Inventories

Your application inventory is stale the moment it's created. Static spreadsheets can't keep up with dynamic IT environments. CMDBs are 30-40% inaccurate within 6 months. Shadow IT goes completely undetected. Manual updates are time-consuming and incomplete.

Wasted Modernization Spend

You're migrating applications that should be retired, and paying to maintain infrastructure nobody uses. Zombie applications consume budget with zero value, cloud costs spiral from unnecessary migrations, and technical debt moves to expensive environments.

Hidden Dependencies

You don't know what's connected to what—until something breaks. Critical dependencies are discovered too late and retirement decisions cause unexpected outages. As such, migration impact becomes impossible to predict.

Risk & Compliance Gaps

You can't secure, govern, or audit what you can't see. Unmanaged applications create security vulnerabilities and compliance blind spots expose your organization. Audit trails are incomplete or missing and governance policies can't be enforced consistently.

The Shift to Continuous Discovery

QyrusAI shifts IT visibility from a painful, six-month manual assessment into a continuous, automated, intelligence-driven process. We don't just tell you what servers are running; we give you the business context of your entire ecosystem.

Continuous, Cross-Environment Discovery

Seamlessly map physical servers, virtual machines, cloud instances, and containers across your entire hybrid landscape without manual intervention.

Contextual Knowledge Graphing

Visualize your IT architecture. The Enterprise Knowledge Graph doesn't just show you what exists; it shows you exactly how business services rely on underlying infrastructure.

Predictive Operations & Insights

Stop waiting for things to break. By analyzing relationships and historical data, the AI engine proactively detects anomalies and predicts potential system failures before they impact users.

Automated Remediation Workflows

Reduce manual firefighting. Qyrus utilizes its deep system intelligence to safely automate responses to common infrastructure issues and incident triggers.

A GLIMPSE ON THE NUMBERS

Outcomes & Benefits

Qyrus automatically maps every dependency across your application landscape—in real time.

40 %+

Reduced Modernization Effort

51 %

Smaller Migration Scope

6 M

Faster Time to Value

30- 30 %

Cost Savings

0

Surprise Breakages

0 %

Decision Confidence

Continuous testing. Continuous learning. Continuous value.

Join leading enterprises
driving the loop forward.

Integration

Works With Your Existing Enterprise Stack.

QyrusAI Modernize connects to your existing tools — CMDBs, ITSM platforms, cloud providers, and enterprise architecture repositories — so discovery enriches the tools you already use rather than replacing them.

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CUSTOMER TESTIMONIALS

Enterprises running the loop
in their own words.

Real Teams. Real Outcomes. Real Confidence in what ships next.
Lorem Ipsum Dolor Sit Amet. Lorem Ipsum Dolor Sit Amet. Lorem

Shawbrook Bank

Qyrus not only supports the testing of our Web, Mobile, and API components as part of our CI/CD processes, but also in ongoing regression-testing across our partner ecosystem. The real power of Qyrus is that we have this extremely broad testing capability in one tool, run in the cloud, and reusable across all our development teams.

Shawbrook Bank
Subaru

The transition to Qyrus has marked a significant turning point for us. By embracing automation, we not only streamlined our SAP test automation process but also achieved a remarkable reduction in overall project testing time by 40%.

Subaru
Monument

... the Qyrus platform have been a great addition to Monument's product delivery capabilities. Within a few months, we have been able to create a comprehensive test suite of complex end-to-end test scenarios spanning multiple platforms and channels. The Quinnox team has helped us embed the Qyrus solution, and the supporting processes around it, into our agile delivery methodology.

Monument

Resources

Go Deeper on QyrusAI for Legacy Modernization

Everything you need to know about LLM, AI agents and Evaluation

October 8, 2026 | 23 min

Everything You Need to Know About LLMs , AI Agents & Evaluation

Read More
Featured image

October 1, 2026 | 7 min

Why Your Monitoring Tools Are Missing the Big Picture—And How BizOps Fixes It

Read More
Featured Image

September 30, 2026 | 9 min

Application Rationalization: How to Decide What to Modernize, Merge or Retire 

Read More
Data-Analytics Leader Case Study

September 24, 2026 | 6 min

How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows

Read More
coca-cola bottler case study
Case Study

September 17, 2025 | 5 min

From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation 

Read More
CCEP Case Study
Food and Beverages

June 27, 2025 | 5 min

AI-Powered Testing Transforms One of the Largest Beverage Companies

Read More
Jack Henry Blog Featured Image

September 21, 2026 | 1 min

Meet QyrusAI at Jack Henry Connect 2026

Read More
BFSI Mumbai, 2026

July 13, 2026 | 1 min

Meet Qyrus at the BFSI Innovation & Technology Summit India 2026

Read More
QonfX-BLR-2026

April 6, 2026 | 3 min

Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation

Read More
Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing
AssureModernize

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More
Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing
AssureModernize

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More

Blog

Everything you need to know about LLM, AI agents and Evaluation

October 8, 2026 | 23 min

Everything You Need to Know About LLMs , AI Agents & Evaluation

Read More
Featured image

October 1, 2026 | 7 min

Why Your Monitoring Tools Are Missing the Big Picture—And How BizOps Fixes It

Read More
Featured Image

September 30, 2026 | 9 min

Application Rationalization: How to Decide What to Modernize, Merge or Retire 

Read More

Data-Analytics Leader Case Study

September 24, 2026 | 6 min

How a Global Data & Analytics Leader Scaled SAP GUI and Fiori Test Automation for Complex BRIM Workflows

Read More
coca-cola bottler case study
Case Study

September 17, 2025 | 5 min

From Bottlenecks to Breakthroughs: A Coca-Cola Bottler’s Quality Transformation 

Read More
CCEP Case Study
Food and Beverages

June 27, 2025 | 5 min

AI-Powered Testing Transforms One of the Largest Beverage Companies

Read More

Jack Henry Blog Featured Image

September 21, 2026 | 1 min

Meet QyrusAI at Jack Henry Connect 2026

Read More
BFSI Mumbai, 2026

July 13, 2026 | 1 min

Meet Qyrus at the BFSI Innovation & Technology Summit India 2026

Read More
QonfX-BLR-2026

April 6, 2026 | 3 min

Qyrus at QonfX Bangalore: AI Testing, Context Engineering & QA Innovation

Read More

Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing
AssureModernize

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More

Modernizing on JackHenry's Terms De-Risking the Symitar-to-SQL Transition Through Testing
AssureModernize

September 28, 2026 | 2 min

The Jack Henry Platform Shift: De-Risking the Symitar-to-SQL Transition Through Testing

Read More
The AI Quality Gap Featured Image

September 17, 2026 | 3 min

AI Quality Engineering Solution for LLMs, RAG Pipelines, and MCP-Enabled Systems

Read More

August 13, 2026 | 2 min

Qyrus Named in Gartner’s Market Overview for API and MCP Testing Tools

Read More

 FREQUENTLY ASKED QUESTIONS

Common Questions About QyrusAI Modernization

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incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud.

How is this different from a CMDB or an EA repository like LeanIX?
A CMDB is maintained by FTEs and is outdated within days of any infrastructure change. LeanIX and similar repositories are populated by surveys — they capture what people say is true, not what the system is actually doing. QyrusAI discovers your estate by observing it in real time: reading APIs, data flows, system calls, and infrastructure events. The graph stays current because it is updated continuously, not because someone remembers to update a ticket. The moment your CMDB says a dependency does not exist, QyrusAI’s observed graph is the source of truth. 

Yes — and SAP migrations are one of the highest-urgency use cases. QyrusAI reads your SAP environment in read-only mode, inventories all RFCs, IDocs, OData services, SOAP connections, CPI integrations, background jobs, and Z-objects, and produces a blast-radius score for every proposed S/4HANA change. The Estate X-Ray and Phase Zero governance workflow are specifically designed for ECC-to-S/4HANA programmes with fixed cutover dates.

The first scan of a mid-market estate (200–400 applications) typically produces an initial topology map within 48–72 hours. The map enriches continuously from that point — adding confidence detail, business-service attribution, and dependency validation as more signals are observed. A Phase Zero engagement (discovery, dependency mapping, and modernization prioritization) is typically scoped at 4–6 weeks.

No. QyrusAI reads from APIs, connectors, log streams, and cloud provider metadata — it does not require an agent on every application or server. For some legacy on-premise environments a lightweight collector may be deployed, but this is scoped per engagement and never required across the full estate before value is delivered.

The Knowledge Graph is continuously updated. If a new application is deployed, a dependency changes, or a system is decommissioned mid-programme, the change is reflected in the graph and the modernization wave plan is re-scored automatically. Your transformation plan is always based on the current estate, not the estate as it was when the programme started.

Yes — this is the core joint value of the two pillars. Every modernization slice Modernize produces is automatically handed to Assure for equivalence testing. Assure generates test cases from the code analysis output, runs them against the modernized slice, and produces an evidence record before any release decision is made. The conversion is never marked complete until Assure has proved it works.

• STAY AHEAD, STAY IN THE LOOP.

Stop monitoring. Start anticipating.

You can’t automate what you don’t understand. It’s time to move past flat spreadsheets and basic discovery tools. Bring true contextual intelligence to your IT operations with the QyrusAI.