VigilAInt

Cybersecurity, Reimagined with AI

VigilAInt is the company behind SmartIDS, a patented platform delivering real-time, interpretable, and adaptive defense against modern network threats.

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Explore SmartIDS

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

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

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.

Explore Benefits

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.

Who We Are

VigilAInt was founded on the belief that cybersecurity should be intelligent, interpretable, and scalable. It began as a research initiative and has grown into a full-stack AI defense platform with SmartIDS at its core, combining deep learning, visual analytics, and adaptive learning to secure networks in real time.

Meet our Founder

Founder

Leading with Purpose

Hrithika Bhat is an AI researcher and M.Tech student specializing in cybersecurity and deep learning. She founded VigilAInt to transform research into scalable defense systems and aspires to contribute to leading AI research communities like DeepMind.

Lets Connect!

You can find me on LinkedIn, or explore more about my projects, publications, and patents on my website.

VigilAInt

VigilAInt

VigilAInt

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