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Building the Noma Security Platform: The Future of Enterprise AI Governance

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About Noma

Noma Security is a web-based governance platform designed for the modern enterprise. It provides a central hub where security teams and developers can manage the entire lifecycle of their AI models and applications. By focusing on the intersection of data science and cybersecurity, Noma removes the technical barriers that often slow down AI adoption. The platform offers a unified dashboard for tracking risks, managing autonomous agents, and ensuring that every step of the AI development process is both safe and responsible.
Industry
Cybersecurity / Cloud Software
Services
Web Application Development, Data Architecture, Security UI/UX
Business Type
Enterprise SaaS
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Creating a Unified Web Workspace for AI Security and Lifecycle Management

As AI moves from a lab experiment to a core business tool, enterprises face a new kind of digital attack surface. Traditional web security tools are not equipped to monitor how AI models interact with sensitive data. Without a dedicated governance layer, organizations risk data leaks or non-compliant AI behavior. Codeflies collaborated with Noma Security to build a high-performance web ecosystem. The goal was to create a platform that provides CISOs and R&D teams with the visibility they need to discover, secure, and protect their AI assets from a single, centralized web interface.

"Noma is changing how enterprises view AI risk. We built a web platform that gives teams the control they need to innovate at high velocity without compromising on security."

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Sam Lentini
B4Tax
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I see a big difference between when we were not with Codeflies and now when we are using their services. They are able to assess our needs and they took us all the way to where we should be. When we originally called them, we had trouble figuring out sales on Google because Google had changed.
Jose M
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Our Process

1

Conceptualization
Market understanding Localization

2

Design
User flow Designing

3

Development
KFC Android App KFC iOS App

4

Deployment
Play Store publishing App Store publishing

1

Platform Strategy

Mapping the enterprise user journey Defining core security workflows

2

Web Interface Design

Building intuitive security dashboards Visualizing complex AI data models

3

Core Web Development

Developing the centralized governance engine Implementing secure API integrations

4

Platform Scaling

Optimizing for global enterprise traffic Ensuring high-availability cloud architecture

Our Project Challenges

1

Hiring the right team

Hiring the right people with just the right skills and experience in food e-commerce was essential to fulfill the nitty-gritty of the requirement and achieve desired results. Our team, with complete detailing, selected people that were not just experts in their respective fields but also highly professional and responsive to the client’s needs.

2

Reducing time to market
In order to handle competitive pressure, it was crucial to reduce the app’s time to market. To meet the need, we placed our team onsite to help bridge the gap in understanding the requirement and connect cross-functional teams to brainstorm the solution while keeping in mind the current legacy system and its limitations.

3

Offering high personalization
In order to make people order from the KFC food delivery application in place of aggregator apps, it was critical to double down on the customer experience. To achieve the same, we offered a high level of personalization in the app and made it easy for customers to view their order history and make payment through multiple gateway options.
1

Visualizing Complex Data Architecture

AI security involves massive amounts of fragmented data. We focused on building a clean, web-based dashboard that turns complex threat intelligence into simple, actionable charts. This allows security leads to understand their risk level at a glance without getting lost in technical noise.

2

Developing for Enterprise Speed

Security platforms must be as fast as the teams using them. We engineered a high-performance web backend that handles real-time monitoring and reporting across thousands of AI models, ensuring the platform remains responsive even under heavy enterprise workloads.

3

Building Trust Through Responsible Design

Working in cybersecurity requires a focus on clarity and precision. We developed the web interface with a focus on "human-in-the-loop" governance, making sure that every automated security alert is accompanied by the right context so teams can make confident decisions.

The Results

4.5
Average Rating on the Play and App Store
22%
Conversion Rate
50%
Total Orders Coming Through App
60%
Repeat Purchases Across Channels
30,000+
Orders Fulfilled Through App Per Day
100%
Revenue Upliftment During Peak Holiday Seasons

Centralized

Web dashboard for full AI lifecycle visibility

High-Performance

Architecture capable of enterprise-scale monitoring

Clear

Visualization of complex AI and agent security risks

Secure

User management and role-based access controls

Strategic

Integration with existing enterprise security stacks

Scalable

Web infrastructure backed by industry-leading advisors