About BrightCloud Threat Intelligence Services
BrightCloud was the first threat intelligence platform to harness the cloud and artificial intelligence to stop zero-day threats in real time. The platform is used to secure businesses and their products worldwide with threat intelligence and protection for endpoints and networks.
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.
What is sixth-generation machine learning?
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:
Bayesian Learning
An approach to machine learning where models are programmed according to Bayes’ Theorem of probability.
Support Vector Machines (SVM)
A supervised machine learning algorithm used for classifying or regression of data objects.
Maximum Entropy Discrimination (MED)
A successor to SVM, MED uses the maximum entropy principle to spot anomalies in partially labeled datasets.
Active Learning Combined with MED
A machine learning technique where an algorithm actively requests a user to label certain data points.
Active Feedback Combined with MED
A machine learning technique where a user corrects mislabeled data in a dataset.
Deep Learning
A subset of machine learning using layers of algorithms loosely based on the neural networks in the human brain.
