Product
Where Innovation Meets Results
The flagship innovation, SmartIDS, is a patented system designed from the ground up to be autonomous, explainable, and AI-native.
Priority Area
The core issue SmartIDS aims to address is transforming opaque, reactive cybersecurity into an intelligent, proactive, and transparent system.
1
Transparency, Explainability
2
Real-Time, Zero Day Attacks
3
User-Centric Responses
4
Reducing False Positive Rate
Product Impact
Focus on Network security across domains from resource constraint devices like diabetes monitoring system in healthcare to drones for defense sectors and industries where security plays a pivotal role in securing data and systems.
Solution
SmartIDS
Experience the next era of intelligent defense, where intrusion detection is fast, interpretable, and adaptive.
CNN-Transformer Model
Combines convolutional layers for spatial feature extraction with transformers for temporal pattern recognition in network traffic images.
class
Sampling(layers.Layer):
"""Uses (mean, log_var) to sample z, the vector encoding a digit."""
def
call(self, inputs):
mean, log_var =
inputs
batch =
tf.shape(mean)[0]
dim =
tf.shape(mean)[1]
return
mean +
tf.exp(0.5
*
log_var) *
epsilon
Reinforcement Learning
Adds adaptive decision-making by training the system to learn optimal threat responses over time through reward-based feedback.
Ask me something..
LLM
Uses large language models to generate human-readable dashboards, explain threat context, and suggest mitigation procedures.
End Users
Target Audience: The Spectrum of Users We Protect and Empower
Businesses and institutions in need of intelligent, user-centric, and scalable cybersecurity defense.
Industries
Start-ups
Personal Devices
Government and Private Sectors
Deployment Strategy
Flexible Deployment for Seamless Cybersecurity Integration
Designed to integrate effortlessly into diverse IT infrastructures.
**All three models are integrated with blockchain for secure, tamper-proof updates and auditability. Even offline hardware appliances can receive periodic verified updates through blockchain when connected.

Plug and Play
As plug-and-play hardware, for organizations that want a ready-to-use, on-premise defense system.**

Cloud Solution
Cloud solution, where startups and companies can access IDS as a managed service with constant updates and easy integration.**

Software Solution
As software, which can integrate with existing setups and scale from schools to enterprises.**
Current Status
VigilAInt is actively progressing toward delivering a production-ready system that makes cybersecurity accessible, scalable, and explainable.
1
Proof of Concept Ready
Current deployment runs on 120+ million data points across 5 datasets.
2
Prototype Deployed on Website
Uses Docker and Gemini API with test data to simulate the proof-of-concept.
3
Three Patents Published
Published in May,2025. Awaiting grant.
What Next?
Next Steps: Advancing VigilAInt Toward Full-Scale Deployment and Global Impact
Continuing innovation to refine, scale, and integrate AI-native cybersecurity for every digital domain.
Research
Looking forward to building a scalable prototype. Draft papers for NeurIPS and other top Cybersecurity Conferences.
Collaboration
Looking forward to collaborating with Research Labs to build next generation cybersecurity tool.
Prototype Results
Outcomes from the VigilAInt Prototype in Action
Highlighting the outputs generated during the prototype phase to demonstrate performance and capability.

1
Confidence score with description of the attack identified by deep learning generated by Gemini.

2
Key features based off of which model identifies the attack and then shared with Gemini.

3
Step-by-step immediate mitigation process generated by Gemini to be followed for normal user group.

4
Long-term defense strategy generated by Gemini to be followed for normal user group.