Recently we presented a research paper on the malicious usage of AI by cyber attackers. Here the abstract, slides a link to the paper. Machine
Category: Phishing
AI vs AI – Can Predictive Models Stop the Tide of Hacker AI?
The advent of machine learning and artificial intelligence (AI) has proven to be a critical asset in the fight against crime, giving us the upper hand. But who will prevail when these same tools are used by cybercriminals?
Classifying Phishing URLs Using Recurrent Neural Networks
In a recent research paper, we showed how we are able to detect with a high level of accuracy if a website is a phish
Machine Learning Explained
Machine learning models are often dismissed on the grounds of lack of interpretability. There is a popular story about modern algorithms that goes as follows:
The Technical Side of Phishing and How to Prevent It
The Technical Side of Phishing and How to Prevent It Phishing, by definition, is the act of defrauding an online user and tricking them into
Phishing Attack Analysis: Estimating Key Cluster Features and Why It’s Important
Phishing Attack Analysis: Estimating Key Cluster Features and Why It’s Important First, let’s quickly review the clusters we built to understand phishing attacks. Using data