Netify AI
Netify AI is a powerful network intelligence solution that merges real-time deep packet inspection with cloud analytics. It delivers unparalleled visibility into network activity, application usage, and security threats, empowering organizations to optimize performance and strengthen their cybersecurity posture.
Visit Website
Introduction
What is Netify AI?
Netify AI provides sophisticated network intelligence by utilizing a lightweight, locally deployed Deep Packet Inspection (DPI) engine alongside powerful cloud-based machine learning analytics. This synergy allows for precise identification of applications and protocols, discovery of connected devices, analysis of bandwidth consumption, and evaluation of cybersecurity risks. The platform is designed for easy integration into various network infrastructure components, including firewalls, routers, and IoT gateways, delivering practical insights to boost network efficiency, fortify security measures, and meet compliance requirements. Furthermore, Netify Data Feeds supply rich metadata related to IP addresses, domains, content delivery networks (CDNs), and VPNs, giving vendors and analysts deeper understanding of application behaviors.
Key Features
Deep Packet Inspection Engine: An efficient, open-source DPI solution that recognizes applications, protocols, hostnames, and encryption information in real-time without impacting network performance.
Cloud-Based Network Analytics: The Netify Informatics component applies machine learning to DPI metadata, generating high-level intelligence on risks, bandwidth utilization, and device identification.
Enriched Data Feeds: Extensive datasets covering application IPs, domains, CDNs, VPN providers, and network infrastructure to enable superior security and traffic analysis.
Flexible Deployment and Integration: Supports on-premises or cloud deployment with robust APIs for smooth incorporation into firewalls, SD-WAN, SASE platforms, and other network systems.
Privacy-First Architecture: Employs zero-knowledge encryption to protect user privacy; only metadata is processed, with raw network data never collected, ensuring anonymity and security.
Real-Time Alerts and Forensics: Offers immediate alerts for network events, historical audit logs, and forensic tools for early threat detection and compliance support.
Use Cases
Cybersecurity Enhancement: Uncover and counteract network risks, suspicious activities, and vulnerabilities by leveraging real-time DPI information and AI-powered risk assessment.
Network Performance Optimization: Pinpoint bandwidth constraints, track application performance, and enhance service quality through detailed analysis of traffic and devices.
Regulatory Compliance and Auditing: Facilitate adherence to standards such as PCI DSS and HIPAA by supplying comprehensive logs of network activity and detailed asset inventories.
Application Behavior Analysis: Utilize enriched data feeds to gain insights into traffic flows and application dependencies, aiding in network planning and vendor evaluation.
Network Infrastructure Integration: Embed DPI capabilities and network intelligence into existing firewalls, routers, SD-WAN solutions, and IoT gateways for improved visibility and management control.
