ARTICLE: AI Heads to Space! And Where it Goes, DPI & Intrusion Detection Must Follow
Deep Packet Inspection (DPI) is a widely deployed technology long used to provide traffic visibility in networking and security solutions. Specifically, it is software that passively analyzes network traffic flows from Layer 2 (data link) to Layer 7 (applications and data) to identify the protocols, applications and services in use, and to extract additional information in the form of metadata to support specific networking and security functions.
Next Generation DPI (NG DPI) has evolved to meet three important challenges:
NG DPI meets these challenges with these distinguishing capabilities:
Satellites, space probes and drones are transitioning from relatively simple monitoring or relay stations to intelligent, multi-function edge network nodes. Their growing importance to communications, logistics and defense are making them an essential part of our daily lives and of national critical infrastructure. While technical advances are endowing them with greater on-board data processing and expanded capabilities, this is also raising their vulnerability to cyber attacks. These include data protection weaknesses, denial of service, hardware backdoors, susceptibility to advanced persistent threats, privilege escalation, malware attacks and payload hijacking to name just a few. And all these risks are escalating with the arrival of AI.
The most fundamental element in addressing cybersecurity risks is network visibility. It is required to monitor traffic and enable threat detection capabilities across the global attack surface. Eneaās embedded deep packet inspection and intrusion detection software components support advanced access control, granular monitoring and intrusion detection in commercial and bespoke cybersecurity solutions for satellites, space probes and drones.
Enea’s traffic visibility and threat detection products boost solution performance from the inside. Delivered as software engines, they provide granular information about network activities, identifying malware and revealing suspicious behavior. These engines are embedded in solutions across all areas of networking and cybersecurity, including NDR/XDR, SD-WAN, SSE, SASE, ZTNA, NG firewalls, FWaaS, SIEM, cloud security and space systems.
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