Abstract: A chatbot interface is provided for a network security software application. The chatbot interface can receive and act upon text utterances from a user or from a speech-to-text engine in instances where the user provided a voice utterance. The chatbot interface also can automatically perform tasks relating to network security. In one embodiment, the chatbot interface receives a text utterance, performs named entity recognition on the text utterance, performs intent classification to determine the intent of the text utterance, and performs an action based on the determined intent.

Abstract: Systems and methods of anomalous pattern discovery and mitigation are disclosed herein. An example method includes creating a graph of processes performed by a computer system using edges of the processes and metadata including properties or artifacts of the edges or processes, the edges identify a connection between a parent process and a child process, and detecting anomalous parent-child process chains of the processes by assigning edge weights to the edges of the processes using a supervised learning process that has been trained to identify malicious edges and benign edges to create a weighted graph, the edge weights including predicted class probabilities that are indicative of the processes being malicious, and performing community detection on the weighted graph using an unsupervised learning technique to identify the anomalous parent-child process chains.

Abstract: A chatbot interface is provided for a network security software application. The chatbot interface can receive and act upon text utterances from a user or from a speech-to-text engine in instances where the user provided a voice utterance. The chatbot interface also can automatically perform tasks relating to network security. In one embodiment, the chatbot interface receives a text utterance, performs named entity recognition on the text utterance, performs intent classification to determine the intent of the text utterance, and performs an action based on the determined intent.

Abstract: A chatbot interface is provided for a network security software application. The chatbot interface can receive and act upon text utterances from a user or from a speech-to-text engine in instances where the user provided a voice utterance. The chatbot interface also can automatically perform tasks relating to network security. In one embodiment, the chatbot interface receives a text utterance, performs named entity recognition on the text utterance, performs intent classification to determine the intent of the text utterance, and performs an action based on the determined intent.

Abstract: An improved system and method is disclosed for receiving a spoken or written utterance, identifying and replacing certain words within the utterance with labels to generate a simplified text string representing the utterance, performing intent classification based on the simplified text string, and performing an action based on the intent classification and the original words that were replaced.

Abstract: A chatbot interface is provided for a network security software application. The chatbot interface can receive and act upon text utterances from a user or from a speech-to-text engine in instances where the user provided a voice utterance. The chatbot interface also can automatically perform tasks relating to network security. In one embodiment, the chatbot interface receives a text utterance, performs named entity recognition on the text utterance, performs intent classification to determine the intent of the text utterance, and performs an action based on the determined intent.

Abstract: An improved system and method is disclosed for receiving a spoken or written utterance, identifying and replacing certain words within the utterance with labels to generate a simplified text string representing the utterance, performing intent classification based on the simplified text string, and performing an action based on the intent classification and the original words that were replaced.