AI Defined
Network Security
Network Security Reimagined
AIDN proactively protects, simulates, experiments, and correlates network activity while optimizing defenses, minimizing time to remediation, and reducing costs.
Close to half of security analyst teams battle false positive rates of 50% or higher from their security tooling.
Bitdefender.com
source: ICS^2
Network Security Issues
30%
are due to insufficient risk assessment and handling
29%
are due to delayed system patches
27%
are due to overwhelming amounts of active threats
Reducing False Positives
Minimizing false positives in Threat Detection to an Incredible 0.05%, this low false positive rate ensures that security teams can focus their attention on legitimate threats, minimizing unnecessary disruptions and allowing for a more efficient and effective response to real security incidents.
Enhanced Threat Detection
The ever-evolving tactics and techniques employed by threat actors necessitate an equally adaptive and advanced threat detection approach. AI Defined Networking addresses this challenge by utilizing generative AI technology to enhance the training of our threat detection system. By conducting consistent, frequent, and diverse training sessions, our threat detection system will remain resilient and effective in identifying emerging threats.
Streamlined Analysis
Investigating security alerts is a time-consuming process that takes away valuable resources from proactive security measures. Our Security Events curate alerts and other relevant and meaningful data to provide faster and greater context to any network security situation.
