Vectra Networks closes the dangerous cybersecurity gap that exists between perimeter defenses and post-breach analysis by automatically detecting the fundamental actions and behaviors of cyber attackers as they advance inside the network.
Leveraging a unique combination of data science, machine learning and behavioral analysis, Vectra automated threat management software continuously monitors all internal network traffic to detect in-progress cyber attacks in real time.
Without relying on signatures or reputation lists, Vectra instantly identifies and prioritizes all threat detections based on severity and certainty scores, which empowers IT security teams to prevent data loss by quickly mitigating the most serious attacks first.
Over time, Vectra continues to listen, think and learn, adapting to the ever-changing threat landscape. As it memorizes the naturally occurring communities in the network, Vectra provides a real-time visual map of the relationship between detected threats, hosts that are under attack, and an organization’s most critical assets.
By exposing active threats in the context of critical assets, Vectra is able to predict the potential impact of cyber attacks that are spreading inside the network. Vectra identifies when an attack starts, changes or subsides, and saves invaluable metadata from packets associated with threat detections for forensic analysis.
Because all Vectra threat management capabilities occur in real time and are fully automated, IT security teams get more done in less time while dramatically reducing operating costs. In fact, Vectra customers have reduced the time spent on threat investigations by up to 90% – it’s like having a security analyst in software.
Vectra automated threat management software gives IT security teams the speed and agility to efficiently focus their efforts on stopping threats that represent the biggest risk.