Keysight Introduces AI-Powered Network Visibility to Strengthen Cybersecurity
28 / Mart / 25
Keysight has expanded its Vision Network Packet Broker (NPB) solutions, marking a significant step forward in enhancing cybersecurity. The new-generation NPBs now support AI performance and advanced monitoring software, enabling AI-driven architectures at network edges and data centers. This innovation not only improves threat detection but also delivers cost and storage efficiency.
The upgraded Vision Network Packet Brokers are equipped with additional memory and storage capacity to support AI-based security and performance monitoring applications developed by Keysight Tech Partners. Moreover, the integration of Keysight’s new AI Stack technology enables advanced functions such as anomaly detection, dynamic application signature generation, and predictive quality and threat analytics.
As cyber threats grow increasingly complex, organizations are seeking new ways to accelerate threat detection and response. Enterprise IT and SecOps teams are leveraging artificial intelligence (AI) and machine learning (ML) technologies to detect performance issues faster, prevent cyber threats, and maintain compliance at scale.
Key Advantages of the Advanced Network Packet Brokers:
● Accelerated Analytics – Real-time enrichment of network and cloud data optimizes data volume and enables deeper insights across hyperscale data lakes.
● Cost Efficiency – AI-driven data analysis and volume reduction lower cloud service costs and reduce demand on compute resources.
● Effortless Scalability – The Keysight AI Stack can be activated on demand, allowing AI Insight Brokers to be flexibly configured and integrated with various software partners to meet visibility and monitoring requirements.
With this new solution, Keysight empowers early-stage AI integration in both performance and security monitoring, delivering higher levels of protection. It enables organizations to proactively detect cyber threats and address performance issues before they escalate.
