Phishing Detection

Developing AI-based tools for advanced phishing detection and analysis.

A person is using a MacBook Pro to browse a banking website. The screen displays a login section, promotional offers, and an image of a smiling couple in the top section. The design includes a red color scheme, with navigation links for various banking services.
A person is using a MacBook Pro to browse a banking website. The screen displays a login section, promotional offers, and an image of a smiling couple in the top section. The design includes a red color scheme, with navigation links for various banking services.
Model Integration

Integrating PhishNet into GPT architecture for validation experiments.

A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
Threat Classification

Implementing automated threat classification and risk assessment features.

A black screen or display monitor with the OpenAI logo and text in white centered in the middle. The background is a gradient transitioning from dark to light blue from top to bottom.
A black screen or display monitor with the OpenAI logo and text in white centered in the middle. The background is a gradient transitioning from dark to light blue from top to bottom.
A smartphone screen displays a web page about ChatGPT, featuring a black background with white text. The screen includes a search bar and various interface icons at the top. In the background, an OpenAI logo is partially visible against a black backdrop.
A smartphone screen displays a web page about ChatGPT, featuring a black background with white text. The screen includes a search bar and various interface icons at the top. In the background, an OpenAI logo is partially visible against a black backdrop.
Real-time Monitoring

Enhancing real-time monitoring capabilities for phishing detection systems.

Deep Learning

Designing deep learning algorithms for effective phishing identification.