VigilAInt
VigilAInt is the company behind SmartIDS, a patented platform delivering real-time, interpretable, and adaptive defense against modern network threats.
Product
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.
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LLM
Uses large language models to generate human-readable dashboards, explain threat context, and suggest mitigation procedures.
Benefits
Maximize efficiency and impact
Learn how our system elevates both security and operational insight.
Data Insights
Gain real-time, interpretable insights from network traffic using visual signal processing and deep learning.
Improved outcomes
Detect threats faster, respond smarter, and reduce false positives with adaptive learning and automation.
Increased productivity
Simplifies security for cybersecurity analysts and non-experts with automated insights and guided mitigation.
Purpose
Founder
Leading with Purpose
Hrithika Bhat is an AI researcher and M.Tech graduate with a keen interest in cybersecurity and deep learning. She founded VigilAInt to transform research into scalable defense systems and aspires to contribute to leading AI research labs.
VigilAInt
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