Security based DevOps Strategy for Secure Software development cylce

Business Impact

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One of the major challenges in the development of applications is to identify and remediate code vulnerabilities before the application goes live.

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To safeguard applications, our team introduced the DevSecOps strategy in the software development cycle that combines development, operation, and security strategy.

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Implementing DevSecops provides overall security, immutable infrastructure, and security automation safeguarding the entire SDLC cycle.

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OptiSol teamed up with a Canada-based healthcare organization for building an enterprise platform and we have incorporated the DevSecOps process where security plays a part in the production cycle.

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This automatic process has in turn minimized the risks of data breaches and vulnerabilities through adaption of static and dynamic code analysis .

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Architecture Diagram

Solution Overview

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Pipeline created using AWS code build

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Automated the process of building executable/ packages using code build

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Depending on configuration executable deployed to the right environment

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API Keys/accounts are configured for different environments to avoid incorrect references.

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Static and dynamic security assessments are done to avoid any vulnerabilities

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Code build , static code analysis, dynamic security assessment and functional testing are automated

Business Challenges

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Code deployment to different environments is done manually
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During deployments, there are chances of including incorrect API keys or configurations
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Error prone as deployments are done manually
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Security verification had to be done manually as a separate process.

Key Features

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Productivity improvement as the deployment is fully automated

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Every commit to the code base undergoes stringent processes defined as pipeline to improve quality

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Avoidance of incorrect API keys references /configuration going in production.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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5yrs

in AI & ML
Engineering

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40+

AI & ML
Projects for
reputed Clients

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50+

AI & ML
Engineers

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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