Machine Learning

FortiAI is an AI assistant that uses generative AI combined with Fortinet's security expertise to guide analysts through threat investigation, response automation, and complex SecOps workflows.

Infinity Platform / Infinity AI is an AI-powered threat intelligence and generative AI service that combines AI-powered threat intelligence with generative AI capabilities for comprehensive threat prevention, automated threat response, and efficient security administration.

Darktrace is a cyber security solution that uses AI to detect and prevent cyber attacks in real-time.

A Chrome browser extension that uses machine learning to detect and alert users about sensitive data exposure and potential data breaches across web environments.

A tool that uses NLP and ML to identify potential software vulnerabilities from git commit messages

A tool that recovers passwords from pixelized screenshots

A tool for analyzing pentest screenshots using a convolutional neural network

A conference featuring talks and workshops on various Python-related topics.

NFStream is a multiplatform Python framework for network flow data analysis with a focus on speed and flexibility.

HoneyFS is an LLM-powered honeypot tool that generates realistic fake file systems using GPT-3.5 to deceive attackers and enhance security analysis.

A defense-in-depth security automation framework for AWS that combines threat intelligence, machine learning, and serverless technologies to prevent, detect, and respond to threats through automated security telemetry collection and analysis.

A project providing open-source YARA rules for malware and malicious file detection

A tool for advanced HTTPD logfile security analysis and forensics, implementing various techniques to detect attacks against web applications.

ZAT is a Python package that processes and analyzes Zeek network security data using machine learning libraries like Pandas, scikit-learn, Kafka, and Spark.

A tool that generates Yara rules from training data using logistic regression and random forest classifiers.

RiskInDroid is a machine learning-based tool that performs quantitative risk analysis of Android applications by reverse engineering bytecode and analyzing permission usage to generate numeric risk scores.

Advanced Endpoint Protection is a complete endpoint protection platform that provides advanced threat protection against ransomware, data breaches, and malware.

An educational project that teaches data analysis techniques for cybersecurity applications using Python tools like IPython, Pandas, and Scikit Learn through practical exercises and realistic scenarios.

Maldatabase is a threat intelligence platform providing malware datasets and threat intelligence feeds for malware data science and threat intelligence.

Netcap efficiently converts network packets into structured audit records for machine learning algorithms, using Protocol Buffers for encoding.

Interactive computational environment for code execution, text, and media combination.

A machine learning-based approach to detect and prevent data breaches using natural language processing and machine learning algorithms.

Automatic analysis of malware behavior using machine learning.

StringSifter is a machine learning tool that automatically ranks strings extracted from malware samples based on their relevance for analysis.