Hewlett Packard Enterprise has expanded its security-first, AI-powered networking portfolio with the introduction of behavioral analytics-based network detection and response (NDR) capabilities, delivered by HPE Aruba Networking Central.
The company is also enhancing its cloud-based universal ZTNA approach by extending its reach to campus-based local area networks. This new local edge capability brings the same access control policies defined for the cloud directly to campuses and data centers, delivering a superior user experience and consistent enforcement regardless of a user's location or connection method.
The new NDR solution leverages telemetry from HPE Aruba Networking Central’s data lake to train and deploy AI models to monitor and detect unusual activity in vulnerable IoT devices that play an increasingly important role in supporting mission-critical business processes. As the opportunity grows for IoT to provide organizations with data to train and activate Generative AI models, so too does the critical need to detect changes in network traffic patterns, connection status or dynamic device attributes that are indicative of a successful compromise.
“Enterprises are increasingly realizing that unsecured IoT devices in the network present an observability blind spot in their security solutions. Those devices can be exploited for initiating larger network attacks, and thus are also one of the largest contributors to a growing attack surface,” said Jon Green, chief technology and security officer, HPE Aruba Networking. “In addition, as security teams increasingly rely on the network to deliver zero trust security solutions, HPE Aruba Networking is providing the ability to leverage a single access control policy for application resources, on-prem or off-prem, that customers can adopt to reduce overlapping and potentially confusing controls."
Also, to accelerate threat response, HPE Aruba Networking Central combines attack detection with new policy recommendations to protect against threats by intercepting potential attacks. To ensure recommendations will not disrupt network operations, teams can also preview changes to their security policies before implementation as part of their enforcement and response workflow.
“Companies need AI-powered behavioral network detection and response, universal security policies, and edge-to-cloud enforcement to protect users, devices, and applications at scale – a key consideration as AI assets throughout the enterprise increasingly become attack targets,” said Maribel Lopez, founder and industry analyst at Lopez Research.
