In 2019, BrightCloud was acquired by OpenText, a global leader in Enterprise Information Management. Together, we are a market leader in cyber resilience, offering total endpoint protection and disaster recovery for any sized business.
For more than a decade, BrightCloud has harnessed the power of machine learning and massive data sets from hundreds of millions of real-world endpoints – think threat telemetry from real customers' laptops, servers and network edges.
Our machine learning models have evolved from earlier, Bayesian methods of improving to, today, sixth-generation deep learning networks. The result is unmatched reliability, accuracy, depth and timeliness of threat intelligence.
BrightCloud's generations of machine learning:
An approach to machine learning where models are programmed according to Bayes’ Theorem of probability.
A supervised machine learning algorithm used for classifying or regression of data objects.
A successor to SVM, MED uses the maximum entropy principle to spot anomalies in partially labeled datasets.
A machine learning technique where an algorithm actively requests a user to label certain data points.
A machine learning technique where a user corrects mislabeled data in a dataset.
A subset of machine learning using layers of algorithms loosely based on the neural networks in the human brain.