CyberDecoded: AI vs Cybersecurity
Artificial intelligence is a constellation of many different technologies. It includes algorithms, data, hardware, software
Tag: AI
Machine Learning and Security
Delve into the world of smart data security using machine learning algorithms and Python libraries
StringSifter
StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis.
Data Poisoning
Occurs when adversaries train an AI model on inaccurate, mislabeled data. This model poisoning can then lead an AI algorithm ...
DefPloreX
A MACHINE-LEARNING TOOLKIT FOR LARGE-SCALE ECRIME FORENSICS. DefPloreX, uses a combination of machine-learning and visualization techniques to practically turn original ...
Adversarial Inputs (Misclassification inputs)
Are the more common variant, where attackers hide malicious content in the filters of a machine learning algorithm.
“When preparing to use machine learning, the first thing organizations must do is train lead engineers…”
Chris Rijnders - Founder & CEO at Cogisen
Machine Learning for Cybersecurity Cookbook
Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion ...
Vectra’s Cognito
The Cognito platform for NDR is in 100% service of detecting and responding to attacks inside cloud, data center, IoT, and enterprise networks.
Adversarial Machine Learning
Adversarial Machine Learning is a collection of techniques to train neural networks on how to spot intentionally misleading data or ...