Moving Detection Back to the Edge
BluVector delivers intrusion detection for advancing threats, powered by a self-adapting form of machine-learning.
BluVector and Machine Learning
Signature / Rules / Pattern Engine
GOAL: Match an explicit string within a given data set.
Unsupervised Machine Learning
GOAL: Find unusual patterns/behaviors within unlabeled data sets by clustering like data and identifying outliers.
Supervised Machine Learning
GOAL: Predict the right answer based on exposure to training data.
|without BluVector||with BluVector|
20 Hours per incident
4 Hours per incident
|~$1740 per incident||~$348 per incident|
|Detection of 1 new targeted/variant threat every 2 days (est. 620 advanced threats evade current tools annually)|
BluVector Awarded SAFETY Act Designation
After a rigorous application and due diligence process the U.S. Department of Homeland Security granted BluVector a DHS SAFETY Act Designation in May 2016. Deploying BluVector as part of an enterprise security ecosystem now includes a level of decreased risk due to this Designation, providing peace of mind relatively few security technologies can provide.
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