Nile has recently enhanced its network-as-a-service (NaaS) platform, introducing new features such as embedded microsegmentation and integrated network access control (NAC) capabilities. These updates aim to streamline enterprise networking by negating the necessity for standalone NAC appliances. Founded on the belief that enterprise networking has grown overly complex, Nile’s subscription-based service has gained over 150 customers globally.
The key features added are identity-based microsegmentation directly integrated into the network architecture. This enables individual device isolation, enhancing security significantly. In addition, the new NAC capabilities eliminate the need for additional hardware, reducing costs and management challenges.
Shashi Kiran, Nile’s CMO, described the transition from Nile 1.0 to Nile 2.0, emphasizing the focus on scaling security measures and enhancing the practicality of use cases. The updated NAC feature allows devices to authenticate through methods like Active Directory and RADIUS, ensuring comprehensive policy enforcement without the clutter of physical appliances.
Previously, Nile utilized identity-based access with macrosegmentation; the latest update permits fine-grained microsegmentation based on identity, making it difficult for unauthorized devices to communicate within the network. For IoT devices, where traditional authentication may not apply, Nile employs device fingerprinting for precise identification.
A distinctive capability, termed “Segment-of-1,” allows the isolation of compromised devices, preventing threats from spreading across the network. This is particularly relevant in cases where unauthorized AI tools might be utilized within corporate environments.
Additionally, Nile is expanding its services to include features such as the Internet Edge service, which integrates performance routing for internet links, and the Secure Guest service, which keeps guest traffic away from the corporate network.
Looking forward, Nile plans to refine its AI capabilities. They aim to classify AI agents operating on the network to apply specific policies according to their nature. This is part of a broader initiative to enhance the simplicity of their foundational architecture, which is critical for managing future AI challenges effectively.
For more updates on Nile and its services, visit Nile’s website.
