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Cybersecurity & AI-Driven Threat Detection

Protect your digital core with adaptive defense powered by AI

Prodhee Technologies helps enterprises safeguard critical systems, data, and customer trust through advanced, AI-driven cybersecurity. From proactive threat hunting and zero-trust architectures to real-time anomaly detection and automated response, we build resilient defense frameworks that evolve faster than adversaries.

A few organizations we’ve helped

What is AI-Driven Cybersecurity ?

AI-Driven Cybersecurity is the proactive use of machine learning, automation, and advanced analytics to prevent, detect, and respond to threats before they cause harm. Unlike traditional static defenses, AI-powered systems continuously learn from new data, identify anomalies, and orchestrate rapid responses—keeping pace with evolving attack vectors like ransomware, phishing, insider threats, and supply chain exploits.

Tailored Fit

Scalability

Ownership

Efficiency

Why choose Prodhee for Cybersecurity & Threat
Detection

Outcome-first, not tool-first.

Vendor-agnostic advice backed by hands-on delivery.

Enterprise-grade governance.

KPIs, cost transparency, and measurable ROI (we baseline, then prove uplift).

Security & compliance baked in

Secure-by-design patterns mapped to ISO 27001/SOC 2 controls.

Security & compliance baked in

Secure-by-design patterns mapped to ISO 27001/SOC 2 controls.

Change that sticks.

Playbooks, enablement, and Center-of-Excellence patterns to sustain gains.

Global delivery, local context

Strategic leads + blended pods to control cost and speed.

Our Capabilities & Offerings

Product Strategy & UX

● User research, personas, journey mapping
● Wireframing, prototyping, usability testing
● MVP definition and feature prioritization

Web & Mobile Development

● Web: React, Angular, Vue, Next.js, Node.js
● Mobile: iOS, Android (Swift, Kotlin), React Native, Flutter

Backend & APIs

● Microservices, serverless, GraphQL/REST APIs
● Databases: PostgreSQL, MongoDB, DynamoDB, Redis
● Scalability: Auto-scaling, container orchestration (Kubernetes, ECS)

Quality Engineering

● Test-driven development (unit, integration, E2E)
● Performance, load, security, and accessibility testing
● Native CI/CD pipelines with test automation

DevOps & Cloud Engineering

● Cloud-native deployment: AWS, Azure, GCP
● IaC: Terraform, Pulumi, CloudFormation
● CI/CD tools: GitHub Actions, Jenkins, GitLab CI, Argo CD

APIs & Integrations

● Payment platforms (Stripe, Razorpay), CRM (Salesforce), ERP, and
social/third-party integrations
● Middleware, event-driven architectures, and message brokering

Delivery Models

Discovery & Prototype

3–5 week engagement to align on vision, build a clickable prototype, define roadmap and delivery estimate.

End-to-End Product Delivery

Agile delivery of MVP or full solution, handled by cross-functional delivery pods (product, design, engineering, QA, DevOps).

Team Extension

Embed our squads into your organization—front-end, backend, QA, or DevOps engineers to fill gaps and accelerate delivery

Managed Product Evolution

We continue to support, enhance, and operate your product post-launch—feature development, optimizations, and support

Virtual Product Leader

Need product advising but can’t hire full-time? Get strategic vision, backlog prioritization, UX audits, and execution oversight.

Tech Stack & Partnerships

Project Outcomes

Faster time-to-market:

MVP in 8–12 weeks on average

Reduced technical debt:

Modular, test-driven, maintainable code

Increased engagement

UX-led design → better retention & adoption

Operational efficiency

Auto-scaling & observability reduce incidents by ~30%

Frequently Asked Questions

1
How long does Discovery & Roadmapping take?
Typically 8–12 weeks, depending on complexity, scope, and integrations.
2
Do you take on full-stack delivery or just front-end/back-end?

We offer full-stack delivery—from design to UX, back-end to infrastructure—and can
also extend individual disciplines into your team.

3
What tech stacks do you use?

We are versatile and select stacks based on business needs—from React/Flutter for
front-end to Node.js, Python, or Java for back-end, and AWS/Azure/GCP for
deployment.

4
How do you ensure security and compliance?

Security is incorporated at architecture and delivery levels: zero-trust patterns,
policy-as-code, secrets mgmt, vulnerability mgmt, and controls mapped to ISO
27001/SOC 2.

1
Do you provide hands-on build or only advisory?

Both. Advisory to define direction; engineering leadership to make it real; and
enablement to sustain it.

2
What results should we expect in the first 90 days?

A validated roadmap; 1–2 pilots with instrumentation; and operational guardrails
(SLOs, cost controls) to scale with confidence.

3
How do you measure success?

Jointly agreed KPIs: lead time, deployment freq, change failure rate, MTTR, infra
cost/txn, availability, performance, and business KPIs (conversion, TAT).