The next generation of cybersecurity products are increasingly incorporating Artificial Intelligence (AI) and Machine Learning (ML) technologies. By training AI software on large datasets of cybersecurity, network, and even physical information, cybersecurity solutions providers aim to detect and block abnormal behavior, even if it does not exhibit a known “signature” or pattern. Experts anticipate that, over time, companies will incorporate ML into every category of cybersecurity products.
In order to get there, Fusemachines provides you with a set of dedicated consultants, AI engineers and data scientists
Make AI Work For Your Cybersecurity Institution
With the AI system processing all normal network behavior, human analysts are free to identify and track data. Our engineers can help you to track anomalous behavior within a network in real time.
Computers are expected to automatically perform daily tasks like analyzing network traffic, granting access based on some set of rules and detecting abnormalities, while our specialists can work on designing algorithms and studying emerging threats.
Cyber threats have become more and more complex these days. Gathering data about attacks like data breaches, malware types, phishing activity, and creating signatures is no longer enough. The new approach is to monitor a wide number of factors and identify patterns of what constitutes normal and abnormal activity, without looking for specific traces of a particular malicious activity, but for spikes or silent moments. Staying a step ahead of hackers will be increasingly difficult, as predictive analysis can be tricked with randomization.
Document classification or document categorization is a problem in library science, information science, and computer science. The task of document classification is to assign a document to one or more classes or categories. This can be done "manually" (or say "intellectually") or algorithmically.
Our engineers can help you figure out the ontology of the document classes; work with your team to clean the data and build scalable classification solutions that can be used for classifying variety of documents from emails, user manuals, news, chats, etc.
Information Retrieval is the technique of obtaining structured or unstructured data that can satisfy information need from within a large pool of data stored in computers.
We can perform full-text information retrieval or build specific content based indexing. Depending on the requirements, we can build models for text documents, images, audio, mind maps or videos.