What good is an appliance firewall if it can't deploy?
Say Hello to Firewall 3.0!
Proudly introducing the era of instant firewalls!
Any network, anytime. Cloud or On-Prem. Virtual or Bare-Metal.
Just plug & secure!
Unique Appliance-free Technology
Lightweight and powerful appliance-free technology allows organizations to launch instant firewalls on demand and easily secure environments as small as home networks or scale to multi-cloud deployments.
Packet inspection core is powerful enough to protect against encrypted threats while also being so lightweight and nimble that it can even fit in very resource-constrained environments.
Zero-latency Security Stack
Deploy zero-latency security without backhauling data packets back and forth between POPs and datacenters.
Sensei’s single-pass architecture processes packets once and for all security controls.
The same security stack runs wherever deployed for an unprecedented level of consistency when applying security policies.
Deploy Anywhere, Rule from the Cloud
Inspect locally, analyze and manage centrally.
Cloud-based management provides control for all policies and network deployments.
Design policies independent of locations and devices and enforce them across all IT environments.
Aggregate and visualize all security telemetry from a single pane of glass. Start from an enterprise-level view and drill down to per-connection details.
Next Generation Enterprise Security
Lightweight, appliance-free technology provides with enterprise security features including:
L2-L7 Packet Filtering
Advanced Network Analytics
Policy-based Filtering and QoS
Web Filtering and Security
Built-in Full TLS Inspection (*)
RESTful API for DecSecOps*
Manage firewall nodes, filtering and QoS policies and access centralized reporting through the RESTful API.
Pay as You Grow
No upfront fees. Our subscription-based pricing model allows individuals or organizations to start paying when only when they need service either monthly or annually.
Start serice for as low as $9.90 per month for a single user or scale to thousands of users.