Nitro Solutions Introduces the First Cybersecurity Solution to Utilize Unsupervised Neural Networks for Cyber Defense

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The advanced technology, NitroDefender™, applies artificial intelligence modeled after the human immune system that learns and adapts to internal and external threats facing organizations.

NitroDefender appliance, NitroDefender, Nitro Solutions cybersecurity

Each NitroDefender™ appliance is branded with Nitro orange, and a distinct shield logo.

“We realized traditional approaches for cybersecurity that focus inward on understanding and addressing vulnerabilities, weaknesses, and configurations, while necessary, are insufficient to detect rapidly evolving internal or external threats.”

Nitro Solutions, a leading provider of machine-learning technology, today announced the availability of NitroDefender™, a next-generation cyber defense solution that applies unsupervised deep neural networks to cyber threat and behavior monitoring.

NitroDefender™ integrates with an organization's network and, without interruption to existing information systems, passively observes all network traffic. It utilizes artificial intelligence, machine learning and unsupervised deep neural networks to observe data, learn behaviors and predict potential cyberattacks. NitroDefender™ provides analysis of detected threats by self-learning the network of people and devices, including IoT and industrial controls systems (ICS), to determine what is ‘normal’ behavior - providing a Cyber Immune Response™ modeled after the human immune response when anomalies are detected. NitroDefender™ detects indicators of zero-day exploits, malware, ransomware, phishing, malicious insider activity and other cyber threats in real time across physical, virtual and cloud-based networks.

“Our population’s dependence on complex technology continues to grow and, at the same time, the threat environment continues to grow and evolve in a uniquely dynamic and daunting way,” said Pete Slade, Nitro’s president and CTO. “We realized traditional approaches for cybersecurity that focus inward on understanding and addressing vulnerabilities, weaknesses, and configurations, while necessary, are insufficient to detect rapidly evolving internal or external threats.”

Concerned by this growing cyber threat, and feeling an obligation to contribute to a solution, Nitro began focusing efforts toward applying its machine learning and behavioral analysis experience to cyber defense. After sharing an early prototype, Nitro was encouraged to commercialize NitroDefender™ by members of the intelligence community.

“The ability to persist and cause ongoing damage is motivating the need to move beyond today’s traditional reactive, perimeter-based approaches to cybersecurity,” Slade continued. “We believe that artificial intelligence driven computer network defense offers a more resilient security posture for ever-expanding, ever-evolving threats. This method even allows for detection of zero-day attacks, and other generally unknown activities through which systems are compromised using techniques yet to be discovered and patched by vendors.”

NitroDefender™ employs a unique combination of engines that work in tandem to maximize threat detection efficacy: an intelligence engine, an unsupervised deep neural network AI, a compliance engine, and an integrity engine.

NitroDefender™ is an appliance-based solution, installed behind the user’s firewall at the core switch. This enables the system to passively analyze all observed data, while providing maximum security as sensitive data never has to leave the organization's premises. NitroDefender™ is available in different appliance sizes to facilitate small to large and distributed deployments, ensuring that all organizations have the same protection opportunity.
Solution highlights include:

  •     Detection: Identifies threats in real time, including malware activities, botnets, zero-day attacks, behavior anomalies, external attackers, compliance violations, insiders and advanced persistent threats (APT).
  •     3D Threat Visualizer: Designed on top of WebGL using video game engine paradigms for an easy-to-use immersive 3D experience, NitroDefender™ provides global oversight, situational awareness, real-time threat alerts, rewind and replay of activity, along with notifications and analytics.
  •     Data Capture: Performs deep packet inspection on network traffic and logs for all networks and devices – physical, virtual and cloud. Captures switch traffic, syslog, metadata, raw PCAP info and more.
  •     Immediate Value: NitroDefender™ provides immediate value, detecting threats on day one while continuously learning and adapting to the user’s environment.
  •     Intuitive Searches: Easily search for and analyze data, protocols, events and network traffic with NitroDefender™. Point-in-time history retention allows users to examine past events.

NitroDefender™ will be available for purchase through Nitro’s channel partners, for a monthly subscription fee. Initial efforts are focused on the United States, with international expansion expected in 2019.

About Nitro Solutions:
Nitro Solutions is the first company to apply unsupervised deep neural networks to cybersecurity, improving the way commercial industries and government agencies combat cyber threats with NitroDefender™. With its advanced, multi-engine approach to cyber defense, Nitro delivers next-generation threat identification, accelerated response and threat prevention capabilities that help make the world a safer place. Founded in 2009 by machine-learning experts, Nitro is a woman owned small business, whose innovative technology has earned it titles such as “Technology Company of the Year” by the Tampa Bay Technology Forum. Nitro has also been recognized as a member of the Inc. 500 for its exceptional growth, and twice named one of the top small businesses in the nation by the U.S. Chamber of the Commerce. To learn more, visit

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Zach Marner
Nitro Solutions
+1 813-223-4677 Ext: 107
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