We work in Niche Technologies

At VoidStarIndia, we specialize in building cutting-edge cybersecurity solutions through two core strengths — Kernel & Driver Development and Artificial Intelligence/Machine Learning (AI/ML).

Over the last 8+ years, our team has mastered niche technologies and frameworks that allow us to deliver secure, high-performance, and future-ready solutions across Windows, Linux, and macOS platforms.

Kernel and Driver Development

The kernel is the heart of any operating system, and working at this level requires precision and deep system knowledge. Our team brings over a decade of combined experience in developing kernel modules and drivers, ensuring performance, security, and reliability.

Our Expertise Includes

  • File system filter drivers
  • Network filter drivers
  • Virtual miniport drivers
  • System extensions for monitoring (process, file, device)
  • Custom device drivers

Frameworks & Tools We Use

  • Windows Driver Model (WDM)
  • Kernel Mode & User Mode Driver Frameworks (KMDF/UMDF)
  • Minifilter File System Drivers
  • Windows Filtering Platform
  • System Extensions for macOS
  • Debugging & validation tools: WinDbg, Windows Driver Verifier, WHQL, GDB, Visual Studio

AI & ML Development

We harness advanced AI/ML techniques to solve complex challenges in cybersecurity and beyond — from detecting malware in real time to building intelligent bots and assistants. By combining traditional ML models with Large Language Models (LLMs), we enhance accuracy while reducing endpoint resource usage.

Our Capabilities

  • Real-time static malware analysis (99% accuracy, minimal false positives)
  • NLP-based malicious URL detection (vectorization, tokenization)
  • Custom voice assistants & AI bots
  • Industry-specific data classification using fine-tuned LLMs

Frameworks & Tools We Use

  • TensorFlow, PyTorch, LightGBM
  • Hugging Face Transformers (BERT, GPT, LLaMA, Mistral)
  • SpaCy, OpenCV for NLP & computer vision
  • Hadoop for big data pipelines
  • Flask & Streamlit for rapid AI app deployment