Healthcare Technology Leader Streamlines AI and Application Security

A global leader in healthcare technology, this company focuses on medical, dental, and health information systems. Spun off from a major manufacturing giant, the organization employs over 20,000 individuals across 30 countries and is headquartered in the United States. Renowned for its commitment to innovation and collaboration with healthcare professionals, the company continually develops solutions to enhance patient outcomes. Their extensive portfolio includes advanced medical technology, patient monitoring systems, and health IT solutions that empower healthcare providers worldwide.

The security team at this healthcare technology leader faced critical challenges in two main domains: AI security and application security.

AI Security Challenges

As the company expanded its AI initiatives, it encountered significant hurdles in managing its AI supply chain. Vulnerabilities in source code repositories and concerns about data integrity in large language model (LLM) applications became major issues. The security team struggled to establish robust management practices for machine learning (ML) pipelines, which differed from their traditional CI/CD processes. Additionally, manual processes for managing AI security posture were inefficient, and tracking data lineage to ensure proper discovery and governance of models and datasets was proving to be a monumental task.

Application Security Challenges

The company managed over 1,000 applications creating substantial bottlenecks in addressing security findings. Their current setup overwhelmed both development and security teams with duplicate and false alerts, complicating the prioritization and remediation of vulnerabilities. Integrating and mapping data from different applications into a single system presented additional difficulties. Onboarding new applications, deduplicating findings from SAST and DAST tools, and retaining false-positive data during tool upgrades were major pain points. The team also faced challenges in tracking code hierarchies, asset ownership, and creating performance metrics for remediation owners.

To address these challenges, the organization needed solutions that could seamlessly integrate with their existing MLOps and CI/CD systems while establishing governance processes for both AI and application security.

The healthcare technology leader implemented AppSOC’s solutions for AI Security & Governance and Application Security Posture Management (ASPM). These solutions provided a comprehensive and integrated approach to overcoming their challenges.

AI Security & Governance:

AppSOC delivered robust AI security capabilities that addressed the organization's key concerns. By integrating with MLOps tools such as AWS SageMaker, AWS Bedrock, Hugging Face, and Jupyter Notebooks, AppSOC enabled the company to establish governance processes for their AI projects. AppSOC’s tools helped the team discover and catalog shadow AI assets, models, and datasets, ensuring complete visibility into their AI ecosystem. The platform allowed the company to define roles, processes, and GenAI permissions, fostering a culture of accountability and structured oversight in their AI initiatives. With automated management of ML pipelines, AppSOC reduced the burden of manual intervention, ensuring alignment with best practices and industry standards.

Application Security Posture Management (ASPM):

For application security, AppSOC streamlined the management of vulnerabilities across their extensive portfolio of applications. The platform integrated seamlessly with tools such as Checkmarx, CrowdStrike, Nessus, HP WebInspect, and Jenkins CI/CD, as well as ticketing systems like Jira and ServiceNow ITSM. These integrations enabled the security team to centralize and manage findings efficiently, reducing the noise caused by duplicate and false alerts.

AppSOC’s deduplication capabilities eliminated redundant security findings, allowing teams to focus on genuine risks. The platform’s ability to provide business-context metrics helped prioritize vulnerabilities based on their impact on critical assets. Moreover, AppSOC’s customizable reports and pre-defined formats made tracking performance metrics and generating monthly updates effortless.

With advanced authorization controls and hierarchical tracking of code ownership, AppSOC empowered the organization to maintain a clear view of responsibility across its development teams. This clarity, combined with AppSOC’s ability to integrate with tools like GitHub Enterprise, AWS CodePipeline, and Azure DevOps, ensured seamless alignment between security and development workflows.

AppSOC proved to be the only vendor that could successfully meet their requirements with:

• Comprehensive solution integrating AI Security & Governance and ASPM.
• Seamless integration with a wide array of MLOps and CI/CD tools.
• Effective deduplication and noise reduction for enhanced efficiency.
• Business-context metrics for prioritizing and addressing security risks.
• Customizable reporting features for streamlined performance tracking.
• Flexible deployment options for quick and efficient implementation.
• Out-of-the-box bidirectional integration with Jira for ticket management.

Results

By implementing AppSOC, the healthcare technology leader successfully addressed its AI and application security challenges. The platform’s ability to centralize and streamline processes empowered the organization to manage its vast technology landscape effectively, improve productivity, and ensure the security of its critical assets. This partnership highlights AppSOC’s unique capabilities in enabling healthcare providers to achieve robust security while focusing on innovation and patient outcomes.