Story 1
Here’s a success story about how we assisted organizations in tackling security and deployment challenges in IoT-cloud integration.
Business Head – Sales & Marketing
Problem Statement:
Organizations face critical challenges in integrating cloud applications, IoT, and deployments, including security gaps, compliance issues, deployment bottlenecks, infrastructure risks, unverified artifacts, and lack of real-time monitoring and incident response, impacting efficiency and security.
KritiKal’s Solution:
To address security gaps and deployment inefficiencies in IoT-cloud integrations, a DevSecOps framework was implemented using Azure DevOps. KritiKal’s DevSecOps framework embeds security directly into the CI/CD pipeline, ensuring that every stage of development is both agile and secure. This solution automated security enforcement, streamlined compliance, and optimized deployment workflows, embedding security at every stage of the CI/CD pipeline. This helped automate the entire software delivery process, ensuring that security and compliance checks are continuously and consistently applied.
Key implementations included CI/CD automation, static and dynamic security testing, container image scanning, secret detection, and continuous monitoring. Tools such as SonarQube, OWASP ZAP, Trivy, and cloud Policy (for cloud-based) ensured proactive threat detection and compliance adherence. The selection of tools was customized to align with each client’s specific preferences.
Story 2
We developed an AI-powered solution to assess skincare effectiveness by aligning facial images over time, detecting wrinkles, and providing precise insights for skincare professionals, brands, and consumers.
VP – Strategy & Operations
Problem Statement:
Effective skincare evaluation requires detecting and analyzing wrinkles over time. A robust automated solution aligns facial images across different timelines, using algorithms to track and compare skin changes, providing insights into skincare product effectiveness.
KritiKal’s Solution:
We introduce an AI-powered solution that aligns facial images across different timestamps and quantifies wrinkle progression with high precision. Our advanced AI model processes facial images taken at different times, aligns them accurately, and performs an in-depth wrinkle analysis. By using deep learning techniques and image processing, the system detects fine lines and wrinkles across different skin tones and different age groups, providing an objective measure of facial aging.
By aligning faces accurately across different timestamps and quantifying wrinkle progression, this innovation empowers skincare professionals, cosmetic brands, and individuals to make informed decisions about anti-aging treatments and skincare products.