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Data Guard

Data Guard

Next Generation Firewall

Data Guard is a Next-Generation Firewall (NGFW) engineered with a proprietary Secure-by-Design™ architecture, integrating LAN-WAN virtualization, route scrambling, and MPMD™ (Multi-Point Multi-Directional) security intelligence to offer advanced perimeter defense. Built on Snort 3—the industry-leading intrusion detection and prevention engine—Data Guard offers comprehensive IPS/IDS, Gateway Antivirus, and Content Filtering, ensuring holistic protection from emerging threats.

Who is it for:

Data Guard is purpose-built for to large enterprises, data-driven organizations, critical infrastructure sectors, and regulated industries such as BFSI, Energy, Government, Healthcare, and Smart Cities, where deep-packet inspection, zero-trust enforcement, and compliance-grade security are essential. It is ideal for businesses that need an intelligent firewall to guard against zero-day threats, lateral movement, and application-layer attacks.

How it will help you:

FAQ’s

Freequently Asked Questions

  • What is the fundamental difference in Cnergee's Next-Gen Firewall OS compared to others?

    Unlike many firewalls that rely on open-source operating systems like a public version of Linux, Cnergee's NGFW runs on a proprietary embedded Linux and C-based OS built from the ground up by its in-house firmware team. This approach eliminates the supply chain risks and potential backdoors associated with third-party code. By controlling every layer of the operating system, Cnergee can create a hardened, secure platform that is less vulnerable to exploits and enables rapid, controlled security updates.

  • How does Cnergee's in-house technology leverage existing security frameworks?

    Cnergee's NGFW takes the best of both worlds. While its core OS is proprietary and built in-house, it still integrates with and leverages proven, best-in-class security frameworks. For example, it utilizes a framework similar to Snort 3 for its Intrusion Prevention/Detection System (IPS/IDS). Snort 3 is a highly effective, open-source engine for network intrusion detection. By using the framework's rule sets and logic while running it on a proprietary OS, Cnergee can provide a robust, high-performance security engine without the risks of a fully open-source environment.

  • How does the firewall stay ahead of emerging threats?

    Cnergee's NGFW uses a dual-pronged approach to stay updated on the latest threats. First, its in-house security team constantly monitors the threat landscape and develops signatures and patches for the proprietary OS. Second, it subscribes to threat intelligence feeds and signatures from leading third-party service providers. This ensures that the firewall has a comprehensive, up-to-the-minute database of known malicious IPs, domains, and attack patterns to proactively block threats before they can impact the network.

  • What are the key security features of this Next-Gen Firewall?

    The Cnergee NGFW provides a full suite of advanced security features. It includes a stateful firewall, Gateway Anti-virus, and SSL Offload for inspecting encrypted traffic. It also offers advanced controls like URL & Content Filtering, Micro-segmentation at the application level, and Domain-based Tunnels. These features work together to provide granular control over network traffic, ensuring that only legitimate and secure applications and users can access the network.

  • Why is a "no open OS" approach better for critical infrastructure and government use cases?

    For critical infrastructure and state departments, an open-source OS can pose significant security risks. Open-source code, while community-reviewed, can be a target for malicious actors looking to introduce vulnerabilities. By using a proprietary, in-house-developed OS, Cnergee provides a "black box" solution where the code is not publicly accessible. This reduces the attack surface and provides greater control and security, making it a more reliable and trustworthy solution for defending against cyberattacks on sensitive government networks.