When teams move from deciding on their migration strategy to mobilizing to act, agentic AI can be used to enforce secure-by-design practices and policies. Welcome back to the second in our two part series on using agentic AI for DevSecOps to drive secure-by-design architecture. (If you missed part one, check out our previous post The Speed of Relevance: Laying the Foundation for Strong DevSecOps Practices)
Infrastructure as Code Delivers Automated Compliance Enforcement
Secure-by-design principles are enabled through both infrastructure as code and robust security testing practices. First, deployments via infrastructure-as-code (IaC) produce consistent, repeatable, and hardened environments, reducing misconfigurations. This addresses a common security weakness. Additionally, these pipelines generate detailed logs and audit trails.
Furthermore, pipelines can embed policy-as-code and compliance-as-code frameworks, continuously validating that builds align with standards like NIST, CMMC, STIG, RMF, or agency-specific security baselines. They can also build custom workflows and templates that ensure their DevSecOps agents work consistently following their internal guidelines and processes.
There are many examples of how teams can use preconfigured DevSecOps templates and workflows to enhance their security:
- Pipeline templates that enforce secure configurations by default (e.g., encryption turned on, least privilege IAM roles, logging enabled) across every environment.
- Workflows that eliminate hardcoded credentials by integrating with vaults and key management services, ensuring sensitive data is injected securely at runtime.
- Automated pipelines that support rolling updates and security patching, making it easier to quickly remediate vulnerabilities without manual intervention.
Automated Security Testing Provides Guardrails
The other component is security testing. Using ReDuX AI agents in combination with other automation tools, DevSecOps teams use security testing (static code analysis, dependency scanning, secret detection) early in the pipeline, ensuring vulnerabilities are caught before deployment.
Moreover, for every task performed by any ReDuX agent, output can be verified and corrected by a human team member. The self-learning agents improve their process, further improving efficiency gains. And because in enterprise implementations of ReDuX agents share skill improvements across the digital workforce, all agents improve when one agent improves. This process further enhances security beyond what is available with simply co-pilot tools or AI agents used for a single step of the process.
Ultimately, by both using OODA loops as described in our first post and automated compliance, teams can use AI for end enforcement of DevSecOps best practices. In addition to this, one of the most important ways DevSecOps supports security best practices is it fosters a culture of continuous improvement and collaboration, particularly between developers, security, and operations. At its core, DevSecOps best practices shift important security decisions to the left, moving them earlier in the process so that the tools use by modernization teams have the greatest impact at reducing risk.
If you want to see how your team can accelerate decision making and modernize with secure-by-design architecture, schedule a live demonstration with our team. And if you are headed to the AFCEA Belvoir Industry Days May 5-7, 2026, Let’s talk!
Last year our team examined agentic DevSecOps for secure-by-design architecture on our ReDuX blog. In this two part series, experts in our Defense portfolio are returning to their call to shift security decision making left. With renewed attention to the needs of the warfighter and the mission we address these new challenges and opportunities.
For agencies operating in an IL4 or IL5 environment integrating security into their modernization is an essential requirement of the mission. Modern environments must adhere to strict security standards, meet data sovereignty requirements, and enforce secure CI/CD pipelines all while operating within GovCloud.
In short, to effectively optimize DevOps outputs using AI, agencies must partner with organizations that have proven experience working with their highly-regulated environments. Moreover, when the modernized systems are well-architected, they directly operationalize secure-by-design principles. To achieve this state we use our ReDuX platform to observe to understand the legacy system, make informed decisions early and when relevant while building incrementally to adapt to changing mandates.
Shift-Left Security and the Speed of Relevance
In our original post, we noted, the earlier teams identify problems and security risks, the earlier they adapt and develop solutions. We call this Shift-Left Security and it greatly improves the speed of relevance for making critical architecture decisions that improve the overall security of the system.
Shift-Left Security is based on our integration of the Observe-Orient-Decide-Act (OODA) loop into our GoLean development methodology. With GoLean we observe process improvement opportunities earlier. After orienting to a new approach, we then decide on process improvements and act to implement it within our work. As a result of using this data-driven OODA loop process for over a decade our development methodology has been repeatedly appraised at CMMI Level 5.
When incorporated into our ReDuX process we use OODA loops to not only continuously improve process but also to reduce risk. We do this by building a comprehensive blueprint of the legacy system so we can observe risks. Next we orient to plan our migration roadmap, then decide to mobilize agents and teams to complete our work and finally, act to incrementally modernize while reducing rework.
Reducing Risk with Legacy System Blueprinting
Using agentic AI in our ReDuX platform, blueprinting agents map the structure of legacy systems and identifies its relationship to external components. Our teams can then match legacy code to screen flows and end-points so that teams identify orphan or dead code before they begin migration planning.
Thus, using agentic-driven blueprinting we greatly accelerate the speed of relevance for making critical security decisions. We move the decisions about how to improve, optimize and reimagine the system earlier in the discovery phase which allows us to act and adapt sooner to emerging risks.
If you want to learn how we use system blueprinting to accelerate decisionmaking and build secure systems, schedule a live demo with our team. If you are headed to the AFCEA Belvoir Industry Days May 5-7, 2026, Let’s talk!
And stay tuned! In our next blog we will share how we use AI agents to build secure architecture as part of our DevSecOps practice.
HERNDON, VA — Karsun Solutions, the enterprise modernization experts, today announced its recognition in the 2026 Information Services Group (ISG) Provider Lens® Mainframes Services and Solutions report. The firm was identified as a Contender in the U.S. Public Sector Application Modernization Services quadrant and a Product Challenger in the Global Mainframe Application Modernization Software quadrant.
As public sector agencies face the dual challenges of an aging workforce and the expiration of stimulus funding, Karsun has established itself as a strategic partner capable of bridging high-end federal engineering to state and local government engagement. ISG’s research highlights Karsun’s deep domain expertise in modernizing mission-critical, complex government systems that require strict compliance and end-to-end traceability.
ReDuX: The Capability Driver for AI-Native Modernization
Central to Karsun’s recognition is ReDuX®, its AI-native modernization platform. ReDuX leverages agentic, multimodal AI to automate critical modernization tasks, including:
- Blueprinting and Requirements Extraction: Documenting black box legacy systems to understand complex, undocumented applications.
- Code Conversion and Test Automation: Accelerating throughput while reducing the risks associated with manual refactoring.
- Human-in-the-Loop Governance: Ensuring auditability and verification, which is essential for regulated public sector environments.
Using ReDuX Karsun claims teams deliver four times faster with two times less rework. It recently released a pair of mainframe modernization case studies. These demonstrated ReDuX’s traceability and explainability features and a modernization engagement that reimagined document workflows for a legacy certification system. Karsun shares how ReDuX works at GoReDuX.ai/how-it-works.
Delivery Discipline Plus Public Sector Expertise
Karsun’s public sector expertise is boosted by its delivery discipline. Its work is underpinned by its CMMI Level 5 appraisal and commitment to quality, enabling predictable, measurable outcomes across complex legacy landscapes. This high level of compliance allows Karsun to provide enterprise-grade security to state and local agencies, meeting the same rigorous standards required of federal agencies.
Karsun brings this validated public sector experience to rigorous execution of modernization initiatives for commercial enterprises. Backed by the Karsun Innovation Center, its experts deliver modern software development, cloud, data and AI solutions. Learn more about Karsun’s professional services at karsun-llc.com/solutions/.
About Karsun Solutions
Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.
About ReDuX
The ReDuX AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.
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About ISG Provider Lens® 2026 Mainframe Services and Solutions Study
The ISG Provider Lens® 2026 Mainframes Services and Solutions study analyzes the relevant software vendors/service providers in the U.S. PS, Global markets, based on a multi-phased research and analysis process, and positions these providers based on the ISG Research methodology. Learn more at
HERNDON, VA – Karsun Solutions, a premier provider of enterprise modernization solutions, announced it has received Amazon Web Services (AWS) Mainframe Modernization Consulting Competency status. This designation validates Karsun’s technical proficiency and proven success in migrating and transforming legacy mainframe workloads into agile, cloud-native environments on AWS.
An AWS Partner Network (APN) Advanced Tier Services Partner, Karsun continues to solidify its position as an enterprise-grade digital transformation leader. In addition to this new competency, Karsun holds AWS competencies in Migration and Modernization, Government, and DevOps, and is a recognized AWS Well-Architected Partner.
Accelerating Modernization with the ReDuX Platform
Central to Karsun’s mainframe modernization strategy is its ReDuX® platform. ReDuX utilizes agentic AI to rapidly assess and analyze complex mainframe systems. By mobilizing specialized AI agents, the platform automates development tasks including code translation, business rule extraction, and end-to-end testing. This comprehensive suite empowers government agencies and enterprise organizations to reimagine their legacy systems while modernizing with unprecedented speed and accuracy.
“Earning the AWS Mainframe Modernization Consulting Competency is a milestone that reflects our commitment to helping clients break free from legacy constraints,” said Badri Sriraman, Senior Vice President, Karsun Innovation Center. “With our ReDuX platform, we aren’t just moving code. We are using agentic AI to reimagine entire systems, ensuring they are scalable, secure, and fully optimized for AWS.”
Proven Mainframe Modernization Success
Karsun’s mainframe modernization capabilities are highlighted in several recent high-impact case studies:
- Breaking Through with Traceable Mainframe Modernization: Learn how Karsun leveraged agentic AI to achieve 100% traceability while migrating a legacy COBOL system to a modern C# architecture on AWS.
- Migrating a Mainframe Certification System to AWS: Discover how Karsun transitioned mission-critical certification processing from a mainframe environment to AWS.
The ReDuX® platform is now available to federal and commercial customers via the AWS Marketplace and at GoReDuX.ai.
About Karsun Solutions
Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.
About ReDuX
The ReDuX® AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.
For more information or media requests, contact the Karsun Marketing Team at marketing@karsun-llc.com.
Joe Gebbia, the nation’s first-ever chief design officer, is planning to reshape federal government websites. Calling for delightful websites, the new America by Design initiative calls on agencies to modernize the interfaces that serve everyday citizens. Signaling a new era for government websites, agentic AI may provide the key to unlocking the rapid transformation required to meet this challenge.
The Foundation: A Brief History of USWDS
The cornerstone of this transformation is the U.S. Web Design System (USWDS). Launched in 2015, USWDS was created to provide a shared set of design tools and user interface (UI) components for federal agencies. According to the USWDS history, the project was born from the need to reduce design debt and create a consistent appearance across federal websites. Beginning with a small library of buttons and forms, USWDS eventually evolved into a robust ecosystem used by hundreds of federal projects to ensure accessibility, mobile-friendliness, and trust.
The Product Mindset: Meeting User Expectations
Modernizing federal applications is about more than meeting a set of requirements. Service delivery experts know delivering a delightful user experience requires a fundamental shift in strategy. At Karsun, we advocate for a Product Mindset.
Users expect a seamless experience. Government applications should work across devices. They should meet evolving expectations such as the integration of chatbots. A Product Mindset asks delivery teams to consider not only users’ needs today, but also their future needs. It builds in feedback loops to continuously track and ensure expectations are met. Its modernization and digital transformation that delivers applications designed for every next, ensuring they remain resilient and adaptable using not only design best practices but secure, modular, digital architecture.
ReDuX: The Bridge to the Future
Bridging the gap between legacy systems and delightful, yet compliant, interfaces is a monumental task. This is where the ReDuX platform provides a revolutionary AI-powered solution.
ReDuX uses agentic AI to ensure modernization efforts align perfectly with user intent. By taking user demos as an input, ReDuX analyzes real-life behavior to craft functional requirements that reflect how people actually use a service.
Today, ReDuX incorporates the USWDS among its input during code generation. This ensures that every line of code produced adheres to federal design standards by default. Furthermore, because ReDuX can ingest any reference material provided, it is future-proof. When USWDS evolves to the next era of web standards, ReDuX can meet the challenge, optimizing applications to new standards as they emerge.
The path to better service delivery doesn’t have to be slow. With the power of agentic AI and a Product Mindset approach, federal agencies can transform applications faster than ever before.We invite you to learn how ReDuX can help your agency deliver delightful websites that honor the mission and respect the user. Let’s build the future of federal digital services, together.
For the last decade, microservice architecture has been king. Breaking down massive, monolithic applications into small, independently deployable services revolutionized how we build and scale software.
But what’s the next step?
We’re on the verge of the next major evolution, one that infuses our systems with intelligence. We’re moving from a world of reactive microservices to one of proactive micro-agents.
This isn’t just a change in buzzwords. It’s a fundamental shift from building systems that wait for commands to building systems that understand goals.
The Now: The Reactive Microservice
First, let’s look at the microservice as we know it.
A microservice is like a specialist at a desk with a phone. It’s an expert at one specific task such as checking inventory, processing a payment, sending an email. It’s highly efficient, but it’s also dumb. It does absolutely nothing until someone calls its API and gives it a very specific, rigid command.
- It’s Reactive: It waits for a request.
- It’s Task-Oriented: It executes a single, well-defined job.
- It’s Unaware: It has no concept of the “bigger picture” or the user’s ultimate goal.
All the smart logic for coordinating these services lives elsewhere, often in a central “Orchestrator” service or hard-coded into the application’s front-end. If the payment service fails, the orchestrator must have pre-written, rigid logic to handle that specific error.
The Next: The Proactive Micro-Agent
Now, imagine that same specialist, but instead of just giving them a command, you give them a goal.
This is the micro-agent. It’s an intelligent, autonomous entity that has an objective and the power to decide how to achieve it.
- It’s Proactive: You give it a goal (e.g., “Get this order shipped”), and it decides the steps.
- It’s Goal-Oriented: It understands the “why” behind a request, not just the “what.”
- It’s Context-Aware: It can plan, execute, and even handle errors dynamically.
If the payment agent fails, the checkout agent doesn’t need to follow a rigid script. It can reason about the problem. It might decide to try an alternative payment method, or it might call the notification agent to ask the customer for a new card, all without human intervention.
The Secret Sauce: AI as the Reasoning Engine
What makes this shift possible? Artificial Intelligence (AI) and Large Language Models (LLMs).
An LLM acts as the brain or the reasoning engine for the agent. It’s what gives the agent the power to understand a complex goal, break it down into steps, and orchestrate the tools needed to get it done.
In this new model, your old microservices don’t disappear. They become the “tools” in the agent’s toolbox.
- The PaymentService (a microservice) is just a tool.
- The PaymentAgent (a micro-agent) is the intelligent “brain” that knows when and how to use that tool.
A Tale of Two Checkouts
Let’s look at a simple e-commerce example to see the difference in action.
| Architecture | Microservice (Today) | Micro-Agent (Future) |
| The Action | A central OrderService is triggered. | A CheckoutAgent is given a goal: “Complete this user’s purchase.” |
| The Process | The OrderService follows a rigid, hard-coded path:1. CALL InventoryService2. IF stock > 0 THEN CALL PaymentService3. IF payment_ok THEN CALL ShippingService4. ELSE THROW PaymentError | The CheckoutAgent autonomously decides its path:1. “I’ll ask the InventoryAgent if the item is available.”2. “It is. I’ll ask the PaymentAgent to charge the card.”3. “Payment succeeded. I’ll tell the ShippingAgent to create a label.”4. “All done. I’ll tell the NotificationAgent to send a confirmation.” |
| The “Uh Oh” | If the PaymentService fails, the OrderService crashes unless a developer specifically coded a catch block for that one error. | If the PaymentAgent fails, the CheckoutAgent re-plans. “Hmm, payment failed. I’ll ask the CustomerAgent to check for a backup card. If not, I’ll ask the NotificationAgent to email the user.” |
The Future is Autonomous
Microservices were about decentralizing tasks. This was a huge step forward.
Micro-agents are about decentralizing decisions.
This is the logical and necessary next step for building systems that are not just scalable, but truly intelligent, resilient, and autonomous. The specialists in our architecture are finally getting the promotion they deserve. They transition from order-takers to problem-solvers.
This blog is part of our ongoing series spotlighting our enterprise modernization experts. This edition’s featured author is Hari Narayanan, a Solution Advisor and Architect in the Karsun Innovation Center. Connect with him on LinkedIn.
Join Karsun Solutions on LinkedIn for more from our Enterprise Modernization Experts. To start building with your own autonomous agents check out GoReDuX.ai. For more on our approach to modern software development check out our solutions https://karsun-llc.com/solutions/.
If you followed us on LinkedIn on Halloween 2019 you may remember our Karsun “Zombie Slayers” pledged to eliminate a common legacy system scourge, dead code. Six years later our zombie code toolkit has expanded to include artificial intelligence (AI). The ReDuX AI-powered modernization platform and its Blueprint Lenses help our agile teams identify threats early and address their presence as part of the modernization process rather than risking cascading issues after deployment.
Three Zombie Code Threats
Zombie code typically refers to sections of source code in a software project that are no longer used or needed but still exist within the codebase. These unused code segments may have been part of previous versions of the software or were once essential but have become obsolete due to changes in requirements, design, or functionality. This creates system scar tissue that further complicates and constrains modernization efforts.
We identified three threats that still haunt enterprise teams today: dead weight code, living dead code, and vulnerable dead code.
- Dead Weight Code is not related to any application functionality. Its lack of function leads to resource drain. Remediating this non-functional code siphons away developers’ time and energy creating rework and technical debt.
- Living Dead Code is dormant code that retains the ability to be activated. Perhaps it supports a feature no longer used by the system. However, this code poses a direct risk because it can negatively impact system output when activated by mistake. In 2019 we recounted Knight Capital’s catastrophic loss of $440 million in 30 minutes. This code woke up a dead zombie method, which incorrectly generated orders, flooding the stock market with trades.
- Vulnerable Dead Code consists of old libraries or packages. Vulnerable dead code introduces security risks because these old components have known security issues that are easy targets.
Identifying Dead Code with AI
Over the past six years we have honed our zombie fighting skills building the ReDuX platform. Accelerating modernization with AI, the ReDuX platform begins by providing in-depth legacy system insights. This not only helps Karsun agile teams design better modern systems, it helps us identify zombie risks early so they do not impact development later.
The first step in our process is building a Blueprint of the legacy system then diving deeper with Blueprint Lenses. Legacy subject matter experts (SMEs) upload documentation, codebases, schema and other materials into ReDuX. Using AI ReDuX agents identify the relationships between system code and components. These agents then create several views, or lenses, to understand the system better.
For instance, a team viewing their system in ReDuX could view their API calls, scroll through requirements and compare the code citations to ensure accuracy. As part of this process they can also identify orphan code. Thus beginning the dead code analysis process.
Addressing Zombie Code Threats with System Blueprinting
Here’s how we use AI-powered Blueprint agents to address the three types of zombie code.
- Dead Weight Code is addressed using AI to generate system requirements. By matching those requirements with specific sections of code we can also determine when code exists that does contribute to meeting these functional requirements. By only extracting functional equivalents, rather than automatic conversion, we can then abandon this type of zombie code in the legacy system graveyard.
- Living Dead Code is addressed with AI by speeding up the discovery process. Now legacy SMEs can focus on the work of understanding how every component of the legacy system interacts with internal and external components. And, by fully generating system business rules and business logic they have a clearer picture of potential unintended consequences of living dead code.
Teams can then proactively determine the code and system functionality they will extract from the old system to build the new system. More importantly they can do this incrementally, preserving the old system to build new components one functional slice at a time. This provides an additional backstop against living dead code. - Vulnerable Dead Code is also targeted by extracting only the code we need. Further by focusing on functional equivalents we can modernize to optimize. Using AI code companion agents for development, we replace these libraries with modern architecture that is secure by design.
Whether moving away from risky code or outdated components, time is of the essence when trying to outrun zombie code. Providing four times faster delivery with two times less rework ReDuX is an essential tool for our zombie slayer teams. If you’re facing a similar challenge, our AI empowered teams address complex legacy challenges for government organizations and enterprise teams with complex mission-critical applications. Learn more about our capabilities at https://karsun-llc.com/solutions/.
“Digitized isn’t modernized,” noted new Federal CIO Greg Barbaccia in a recent LinkedIn post. Here he advocates for an upgrade to the U.S. government’s approach to modernization. He argues that while agencies have replaced paper processes, they have largely replicated legacy processes in a new medium without re-engineering workflows. Thus, he calls for shifting from substitution to transformation.
Introducing the Product Mindset for Digital Transformation
That’s a process that goes beyond automating repetitive tasks. In the AI era, it means making data actionable, enabling collaboration and accelerating decision-making, changing behaviors alongside tools. That’s why Karsun uses a product mindset throughout the modernization process. Our teams consider not only project requirements but how users will interact with the modernized system. In fact, with 15+ years delivering software, cloud, and data solutions we have identified several key ways using this mindset enables digital transformation at a level expected by government decision makers.
The benefits of using a product mindset for digital transformation.
- Uses human-centered design (HCD) principles from the beginning. This ensures teams build using functional requirements that consider not only system structure, but user behavior and experience.
- Cloud native solutions, such as those built on microservices, enable secure, adaptable architecture empowering teams to adjust to changing requirements meeting future demands.
- Applying HCD principles, a product mindset considers the experience of the teams seeking advanced analytics and business intelligence solutions to generate insights and make data driven decisions. This brings fresh data streaming and self-service enhancements, reducing the time to insights from weeks and months to hours and days.
Moreover, each of these benefits not only improves system performance, it limits future rework by addressing potential challenges early while providing the flexibility to adapt to future needs.
AI-Accelerated Digital Transformation
The AI era demands this approach. To be prepared for the agility gains from AI, government agencies and other large enterprises may need to consider using AI to accelerate the transformation to the new systems and processes available as a result of this revolutionary technology.
We continuously enhance our ReDuX AI-powered modernization platform to accelerate this process. Unlike platforms that automate business rule extraction and transformation, ReDuX AI agents analyze system structure and behavior. After generating a comprehensive blueprint of the legacy system, we generate requirements that address user behavior. With the flexibility that comes from AI instead of automation, agile teams can reimagine their legacy system functionality, adding enhancements. Its transformation agents take inputs from human design teams and solution architects, generating modern, production ready code that satisfies these new functional requirements.
And these agents learn as they complete each functional slice of the modernized application. As the agile team engages in continuous, ongoing feedback with system stakeholders, improving both agents and human team members’ understanding of user needs improve together. Its AI-powered digital transformation that enhances rather than hinders human-centered design.
That’s not all, we found we can actually use AI for process improvement. In fact, our experts spoke on this topic at the annual CMMI conference in Phoenix, Arizona in 2024. For one customer that netted 4 times faster project delivery with double the improvement in code quality. This success is shared in a recent AWS Case Study. This data-driven approach, built on mature, intelligent AI solutions, is in part why Karsun was appraised at CMMI Level 5 (DEV) for a third time.
At Karsun we know the power of a mindful approach to digital transformation. This product mindset, now supercharged by AI, is integrated into every aspect of our modernization process.
For more on our approach, discover why our Head of Experience told the Federal Tech Podcast modernization teams need to move on from “checking the box” on customer experience to creating processes that result in true transformation. If you’re ready to start your digital transformation journey today, connect with our team.
HERNDON, VA., JULY 30, 2025 – Karsun Solutions, a leading technology modernization firm, announced that its AI-powered modernization platform, ReDuX, is now available on the Amazon Web Services (AWS) Marketplace. This strategic availability provides government agencies and commercial enterprises with streamlined access to this innovative platform. ReDuX is available for purchase at https://aws.amazon.com/marketplace/pp/prodview-ewysxj3be4vra.
Using ReDuX, agencies can rapidly ramp-up their legacy modernization journey using agentic AI for every step of the software lifecycle from discovery to delivery. These agents create a 360 degree view of the legacy system, integrate structural and behavioral insights, extract functionality, then use that information as the platform orchestrates a digital workforce that accelerates the work of the agile teams engaged in modernization initiatives. Learn how ReDuX solves difficult modernization challenges at GoReDuX.ai.
“We are thrilled to see this platform developed in-house by our Karsun Innovation Center now available to the commercial market through the AWS Marketplace,” said Sundar Vaidyanathan, CEO of Karsun Solutions. “This strategic expansion makes our cutting-edge modernization capabilities accessible to a broader range of organizations, empowering them as they enhance their capabilities and meet their mission.”
Now available for both modernization teams and the enterprise organization they support, ReDuX is on the AWS Marketplace as a flexible Software-as-a-Service (SaaS) offering for immediate deployment or as a self-hosted solution for organizations requiring greater control over their infrastructure.
“Acquiring ReDuX via the AWS Marketplace is ideal for public sector teams looking to quickly access products that will accelerate the modernization of legacy systems,” said Badri Sriraman, Senior Vice President, Karsun Innovation Center. “For those teams modernizing systems written on COBOL, Assembly, Natural/ADABAS, or other outdated codes, this offers the opportunity to get unstuck without the long, protracted procurement processes.”
ReDuX on AWS Marketplace: Benefiting the Government Buyer
Purchasing modernization products via the AWS marketplace gives government agencies key benefits:
- Accelerate procurement cycles with transactions in days rather than months, improving responsiveness to mission needs. The AWS Marketplace offers vetted software solutions. Agencies can acquire bundled solutions that include both software and implementation services through AWS Partner sellers. This supports end-to-end delivery without the need for separate RFPs or fragmented contracts, reducing acquisition risk and accelerating delivery timelines.
- Built-In governance enables better tracking of software investment and usage across teams. AWS Marketplace provides centralized billing, license management, and reporting features in addition to tools for governance and access control. Using these resources, government customers can maintain tighter control over shadow IT and gain insights into utilization patterns to inform future acquisition strategies.
- Access a diverse and modern vendor ecosystem for streamlined collaboration. Using AWS Marketplace, federal agencies can access thousands of commercial and public-sector-focused solutions across categories like zero trust, AI/ML, DevSecOps, data analytics, and legacy system modernization.
- Flexible licensing and cost control align software spending with actual usage and mission tempo while reducing waste. AWS Marketplace supports pay-as-you-go models, term subscriptions, and enterprise license agreements. Customizable private offers enable negotiation of pricing, terms, and conditions tailored to government buyers.
Customers may also procure legacy modernization professional services directly through the AWS Marketplace at https://aws.amazon.com/marketplace/pp/prodview-ovm4yupjljktk. This offers an ideal pathway for government entities to engage with Karsun’s team of over 300 enterprise modernization experts, ensuring successful implementation, integration, and optimization of ReDuX within their unique environments. Karsun experts have 15+ years of experience delivering large-scale modernization projects. Learn more about the organization’s modern software development, AI, cloud and data solutions at https://karsun-llc.com/solutions/.
About Karsun Solutions
Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.
About ReDuX
The ReDuX AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.
As agencies such as the Internal Revenue Service shrink workforces and adopt leaner operational models, resources to support large scale modernization efforts are increasingly constrained. It is under this strain that John Gilroy opens a recent episode of the Federal Tech Podcast recorded live at the AWS Summit in Washington, D.C. Karsun Co-Founder Kartik Mecheri joins John and former General Services Federal Acquisition Services (GSA FAS) Commissioner Alan Thomas for a discussion on AI, digital workforces and the future of government modernization.
As John observes, the landscape of federal technology is at a critical juncture. Imagine systems born in the 1960s, like COBOL, still running essential government operations, while the average federal worker was born almost two decades later! This generational gap, combined with a shrinking government workforce creates an undeniable need for modernization.
At the same time, government agencies face immense pressure to deliver better experiences for their customers while grappling with complex legacy systems and processes that have been perfected over decades. These systems, often mainframes, are not just old; they are mission-critical, meaning they cannot be simply turned off for upgrades. Modernizing them is, as John notes, akin to “doing a little upgrade while you’re flying the plane”.
The AI Imperative: Introducing ReDuX AI-Powered Modernization
Enter Artificial Intelligence, AI. Government agencies are increasingly interested in AI for modernization to pick up the slack from fewer personnel and improve service delivery. Karsun Solutions offers a powerful tool designed specifically for this challenge: ReDuX.
The ReDuX Modernization Platform Addresses Several Key Pain Points:
- Declining Subject Matter Expertise: As veteran employees retire, the deep knowledge of these legacy systems often walks out the door with them. Redux.ai aims to capture this expertise.
- Complex Migrations: Converting decades of intricate code and interactions into modern architectures within a tight timeframe (e.g., 40 years of work into a 5-year project) is a monumental task.
How ReDuX Transforms Modernization
Redux uses specialized AI agents to streamline the modernization process:
- Blueprinting Agents: These agents delve into legacy code, extract crucial information, and integrate it with user guides and demonstrations. The goal is for the agents to become the subject matter expert on the legacy system.
- Modernization Agents: Once the legacy system is understood, these agents can convert the code to run on modern cloud platforms like AWS or Azure. They ensure the new system adheres to the required architecture and security posture of the agency.
Karsun has successfully used ReDuX to migrate multiple mainframe COBOL applications and other legacy systems (like Visual Basic 6, VB6) to modern technologies. This approach can accelerate modernization by 4x and reduce costs by 2x, reducing key modernization tasks by months and even years.
The Rise of the Digital Workforce
A key concept driving this transformation is the “digital workforce”. This involves building digital equivalents or “digital assistants” for every role in the software development cycle. Imagine:
- An architect agent that understands your target architecture and generates diagrams, documentation, and security architecture.
- Agents for creating unit tests, generating code, or ensuring security compliance.
- Agents for business analysts to create user stories.
The idea is to empower agile teams with digital support allowing them to focus on strategic, high-value, creative, and innovative work. While managing human teams is a well-understood skill, managing these “agents” is a new frontier that the future leaders will need to master.
Looking ahead, experts predict that within a year, we will see more demonstrable examples of AI deployment with clear business benefits. Leaders will need to balance AI’s promise with risks. As they conclude their discussion, John, Kartik and Alan discuss strategies for mitigating AI hallucinations, improving accuracy and reducing security risks. They also discuss identifying technology partners with the strategic relationships required to effectively implement technology in the evolving environment.
For federal legacy systems the modernization journey is complex, but with innovations like Karsun Solutions and the ReDuX team, the path to a more efficient, agile, and secure government future is becoming clearer.
Tune in to the podcast to learn more or check out GoReDuX.ai