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    Application Security for AI-Driven for HCLS Modus Create + StackHawk

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    Modus Create helps healthcare and life sciences organizations secure AI-powered applications using StackHawk’s automated DAST (Dynamic Application Security Testing). Our offering enables continuous security for APIs and modern applications deployed in AWS, accelerating innovation without compromising compliance.

    Overview

    As AI adoption accelerates in healthcare and life sciences, ensuring security and compliance of the underlying applications and APIs becomes critical—especially when handling PHI, clinical trial data, or regulated workflows.

    Modus Create, an AWS Life Sciences Competency Partner, offers a security-first DevSecOps service powered by StackHawk to embed continuous, automated security testing directly into your development pipeline. This ensures that AI-powered applications—from patient-facing portals to clinical analytics tools—are free of exploitable vulnerabilities before they reach production.

    Our service includes: • Integration of StackHawk with your CI/CD pipelines on AWS • Security testing tailored for AI and data-driven applications • Validation of APIs, including those supporting FHIR, CMS, or custom ML endpoints • Reporting aligned with HIPAA, GDPR, and FDA software validation requirements

    Built on AWS services including: • Amazon ECS / EKS for secure container orchestration • AWS CodePipeline for DevSecOps automation • Amazon Bedrock and Amazon SageMaker for GenAI and ML workloads

    Customer Impact: • Secure AI-powered apps and APIs earlier in the lifecycle • Prevent costly breaches of sensitive health data • Accelerate compliance timelines for FDA-regulated software • Reduce vulnerability remediation time by up to 70%

    Highlights

    • Optimized for healthcare and life sciences organizations
    • Seamlessly integrates StackHawk’s security testing into your AWS-native dev workflow
    • Expert delivery from Modus Create’s AWS-certified cloud and security teams

    Details

    Delivery method

    Deployed on AWS

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