Cognizant® Domain-Specific Development Lifecycle Transformation

Cognizant® Domain-Specific Development Lifecycle Transformation is delivered as a professional services engagement where we assess, design, and implement AI-driven Development Lifecyle automation on AWS—and leave you with a deployed solution plus reusable accelerators. Using Amazon Bedrock, Amazon SageMaker, and AWS Deep Learning Containers (DLCs), we integrate requirements, design, build, test, and governance into your DevSecOps toolchain, alongside packaged assets such as reference architectures, infrastructure-as-code, pipeline templates, and domain prompts/policies.

Domain variants (e.g., Pharma IT and Cybersecurity) use ontologies and policy-as-code to generate traceability, validation and test evidence, threat models, and assurance artefacts, supporting alignment to customer-selected regulatory and security frameworks (for example GxP, NIST, ISO, MITRE ATT&CK, and Zero Trust). Output is designed to be repeatable and audit-ready, while final compliance determinations remain the customer’s responsibility.

Key Features • AWS Native AI Integration — Leverages Amazon SageMaker, Amazon Bedrock, and AWS Deep Learning Containers (DLCs) for scalable LLM inference, model orchestration, and automated artefact generation. • Domain Specialized SDLC Automation — Automates requirements decomposition, architecture synthesis, code scaffolding, verification workflows, and controlled artefact lifecycle management using AI driven pipelines. • Policy as Code Controls & Evidence Generation — Implements customer-defined regulatory and security controls in AWS-based CI/CD and DevSecOps pipelines and produces mappings and audit evidence (for example NIST, ISO, MITRE ATT&CK, and Zero Trust). • Model Based Engineering & Ontology Driven Workflows — Uses domain ontologies and structured knowledge models to ensure consistent, repeatable, and standards aligned engineering outputs. • Scalable, Secure Cloud Architecture — Built to run efficiently on AWS with support for containerized deployment, IAM based access control, encryption, and enterprise grade security patterns. • Seamless DevOps / MLOps / DevSecOps Integration — Integrates with existing AWS toolchains (CodePipeline, CodeBuild, CloudFormation, ECR, Lambda) to automate SDLC stages end to end. The domain specific solution contextualises the core SDLC acceleration capabilities. For example, • Pharma IT Compliance Automation — Generates validation packages, trace matrices, test evidence, and audit ready documentation aligned with GxP and regulated AI governance requirements. • Cybersecurity Engineering Automation — Produces threat models, control mappings, reference architectures, and assurance artefacts using AWS AI DLC based inference.