Charles Davidson started work as an information security analyst at a Private Research Institution, during a wave of uncertainty.
Challenge
Manual workload and risk of a second ransomware attack
Selection criteria
An AI-based Network Detection and Response (NDR) solution to automate SOC inefficiencies and prevent ransomware attacks
Results
The Private Research Institution faced the challenge of securing its dynamic network environment, with constant changes in the location of network devices, multiple personal devices, and the need to address evolving cyber threats such as ransomware attacks.
The institution implemented the Vectra AI's platform and MDR Services, leveraging AI-derived machine learning algorithms and deep learning to automatically detect, prioritize, and respond to in-progress attack behaviors. The combination of Vectra NDR and MDR Services provided an enhanced understanding of the network environment and threat landscape, allowing the institution to identify and focus on critical security events.
Vectra streamlined operations through automation, improved visibility, and detected compromised hosts within larger attacks. Vectra's MDR Services provided expert analysis and investigative support. Integrating Vectra NDR with third-party solutions enhanced response workflows, reducing attacker dwell times and eliminating network blind spots, making the security team more adaptable to network changes.
“It was like getting a new pair of binoculars. You don’t realize what you’re missing until you can see with absolute clarity.”
“The insights we get all day, every day, are critical. It makes me a better analyst and a better engineer.”