Mission Success
Through Intelligent Automation
9th Way Insignia, a Service-Disabled Veteran-Owned Small Business (SDVOSB), delivers secure, cost-effective solutions to Federal agencies. Through automation, AI, and applied analytics, we streamline operations, reduce manual effort, and drive significant cost savings.
Our expertise in system security engineering and software development optimizes workflows, eliminates redundancies, and enhances mission-critical operations—maximizing efficiency while lowering costs. By automating key processes, we help clients achieve more with fewer resources, ensuring long-term savings and stronger mission outcomes.
What We Do
Our Services
Cybersecurity
We are cybersecurity leaders delivering zero trust architectures, DevSecOps frameworks, and automated security solutions, utilizing behavioral analytics, adaptive threat intelligence, and machine learning to detect threats, respond rapidly, and reduce vulnerabilities.
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Automation
9th Way Insignia offers end-to-end automation solutions, including Robotic Process Automation (RPA), business process automation, and cybersecurity automation, to streamline workflows, improve efficiency, and enhance security across IT and business operations.
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Data Science
9th Way Insignia provides enterprise data management, advanced analytics, business
intelligence, and automated ETL solutions that enable real-time data availability, accurate
reporting, and data-driven decision-making.
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Artificial Intelligence (AI)
We develop AI-driven solutions, including machine learning models, predictive analytics, and
NLP-based automation, to enhance operational efficiency, automate complex data processes,
and provide intelligent, adaptive insights.
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Case Study
Modernizing EVSS for a Secure, Scalable Future
- Problem
- Solution
- Results
The VA needed to transition its Enterprise Veterans Self Service (EVSS) platform to a cloud-based, open-source solution without disrupting Veteran services. This required migrating outdated systems, enhancing self-service capabilities, and ensuring a seamless shift to VA.gov and Lighthouse APIs while maintaining security and stability.
Insignia leveraged DevSecOps to modernize EVSS efficiently. A cloud-based architecture using Infrastructure as Code (IaC) created scalable, reliable environments. CI/CD pipelines with Jenkins and Docker automated builds, testing, and deployments, reducing manual errors and accelerating releases. Proactive monitoring with AppDynamics and Splunk ensured real-time performance tracking and rapid issue resolution. A user-centric design guided feature enhancements based on Veteran needs, while a structured roadmap ensured a smooth transition. Regular biweekly releases integrated security updates, system improvements, and ongoing support.
Insignia migrated 74 features and four backend services to VA.gov and Lighthouse APIs, with full migration set for Q2 FY2025. Automation reduced Sprint cycles, doubled production releases, and eliminated 15 servers, optimizing infrastructure. System reliability improved, with real-time monitoring minimizing downtime and speeding up issue resolution. The modernization contributed in processing a 29.8% increase in disability claims processing, supporting PACT Act initiatives. Enhanced navigation and analytics-driven decommissioning streamlined Veteran access to services. By applying a secure, scalable modernization strategy, Insignia transformed EVSS into a future-ready platform, ensuring seamless service, improved security, and enhanced Veteran experience.
Case Study
AI-Driven Automation for Security & Compliance
- Problem
- Solution
- Results
VA faced manual, time-consuming processes that delayed compliance reporting and made it difficult to meet Zero Trust security mandates (EO 14028). Ensuring multifactor authentication (MFA) and encryption compliance across systems was a major hurdle.
Insignia deployed an intelligent automation solution using AI/ML, RPA (UiPath, Power Automate), and BI dashboards (Power BI). Automated ETL pipelines processed cybersecurity data, bots handled secure data extraction, and real-time dashboards provided compliance insights.
Automation saved 3,121+ labor hours per month (18 FTEs). Within 10 days, 360+ non-compliant systems achieved MFA and encryption compliance. VA became a leader in API data processing for eMASS, with reports validated by OMB. Insignia’s AI-driven automation improved efficiency, security, and compliance at scale.
Case Study
Insider Threat Detection & User Activity Monitoring
- Problem
- Solution
- Results
VA needed a more advanced, scalable solution to detect insider threats and monitor user activity across its IT infrastructure, including healthcare systems. Existing security tools provided a foundation, but deeper behavioral insights were required to proactively address risks.
Insignia implemented a machine learning (ML) and AI-driven insider threat detection solution using analytics and sensors. A Proof of Concept (PoC) validated its effectiveness, integrating seamlessly with Splunk, QRadar, ADFS, BigFix, Nessus, and DLP tools. The system featured psycholinguistic analysis, monitoring communication patterns for early threat detection, and automated workflows to enhance security response.
The solution provided real-time monitoring across VA systems, delivering AI-driven risk insights into insider threats. Natural Language Processing (NLP) identified early warning signs through text analysis, enabling proactive intervention. Seamless integration with VA’s cybersecurity ecosystem ensured centralized management, while scalable, flexible workflows adapted to evolving risks. This advanced approach significantly strengthened VA’s security posture, reducing vulnerabilities and enhancing threat response.
