AI detects cyber attacks and data leakage risks.

Harnessing AI for comprehensive cybersecurity insights and risk mitigation.

Trusted by leading cybersecurity experts.

Innovative Threat Research Solutions

We specialize in advanced threat research, utilizing multi-source data and cutting-edge AI models to enhance cybersecurity and ensure ethical practices.

Two people are seated in front of a laptop screen that displays a webpage. The webpage features text about a social wall solution compliant with GDPR and CCPA. Both of the individuals' hands are visible as they interact with the laptop. The background shows a modern office environment with chairs and a potted plant.

A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.

A person wearing a symbolic mask with a dark hoodie is using a laptop. The scene is dimly lit, creating a sense of mystery and anonymity.

Our Research Phases

Our approach includes data collection, model fine-tuning, benchmarking, interpretability analysis, and ethical review to ensure comprehensive threat analysis.

Advanced Threat Research

Comprehensive analysis of threats using cutting-edge AI and ethical data practices.

Data Collection Phase

A close-up of a smartphone screen displaying a settings and privacy menu. The text appears slightly blurred, with options like settings, privacy shortcuts, and terms and policies visible. The background is out of focus, creating a contrast with the darker foreground.

Gathering anonymized multi-source data for robust threat analysis.

A white tram is moving along its tracks in an urban environment. The tram features various text and graphics, including symbols related to privacy and protection. There are steel barriers in the foreground, and an outdoor staircase with metal railings is visible in the background.

A padlock sits atop a stack of credit cards on a keyboard, with a bluish hue and digital streaks in the background, suggesting themes of digital security and privacy.

Model Fine-Tuning

Developing tailored AI models for specific attack scenarios and general threat patterns.

Utilizing LIME and SHAP for interpretability and enhancing analyst trust through user testing.

Interpretability Analysis

Advanced Threats

Innovative research phases for enhanced cybersecurity and threat detection.

A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.

Data Analysis

Implement multi-source data collection techniques for comprehensive threat understanding.

Model Training

Utilize cutting-edge GPT-4 framework for tailored attack scenario solutions.