News
Business Overview
Business Description
Preempt delivers a one-two punch for securing identities and preventing threats like credential compromise and targeted attacks. We help enterprises optimize their identity health posture to reduce their attack surface and preempt threats in real time. Our patented technology continuously analyzes, adapts and responds to threats based on identity, behavior and risk to auto-resolve incidents.Preempt was founded in 2014 by global security and networking experts with a passion for making IT security teams more effective in protecting their organizations from breaches and internal threats.Preempt delivers a modern approach to authentication and securing identity with the markets first solution to deliver Conditional Access for continuously detecting and preempting threats based on identity, behavior and risk. Preempts patented technology empowers Enterprises to optimize Identity hygiene and stop attackers and insider threats in real-time before they can impact business.
Operating Status
Acquired
Founded
July 2014
Total Employees
Sectors
Sub Sectors
Offering Type
Software
Business Model
Business Stage
Funding
Total Funding
$27,500,000
Last Funding Round
Series B
Valuation
Funding Rounds
Investors
AI Technology Stack
AI Description
Preempt machine-learning models. The models get ongoing feedback that allows them to adapt to the unique character of the network. In addition to having supervised ML models, which are trained by data scientists, and unsupervised ML models, which detect deviations from a local baseline, we also use a hybrid technique called semi-supervised machine learning. In this case, the model is trained by real-time feedback from the end-user. This means that individual detections are far more reliable, but also the models themselves become far more attuned to the environment over time. LDAP anomaly detection, through pre-trained machine learning models, automate the detection of sophisticated attack patterns.
AI Technology
Machine Learning
AI Employees
Learning Types
Semi-Supervised Learning, Supervised Learning
