A cross-platform security system monitors network data across multiple interfaces to identify threats and reject malicious traffic.
A cloud-based endpoint security system distributes updates via a pub/sub architecture and persistent connections.
A work scheduler divaricates network packets to a neural network processor for behavioral analysis.
Security engine generates screen signatures from application images to automate interface exploration and interaction.
A system shares anonymized security attack data units across entities to enable proactive defense strategies.
Grouping applications into clusters based on predefined event profiles enables precise behavioral monitoring and automated security policy enforcement.
Monitoring processors collect program trace signals from side-channels to detect forged data and uncover undocumented functionality.
An attack narrative tree segments electronic transactions to identify high-risk patterns using concentration of loss factors.
A security system blocks malicious script executions by generating rules based on shared operations to prevent zero-day attacks.