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SignalSense exists to increase the fidelity of security alerts and expand on what can be detected in enterprise networks. The challenges facing those responsible for securing networks have increased exponentially in the last few years -- both from the sophistication of the threats seen, the explosion of agile development and the distribution of applications across varied environments. This is further compounded by the move to public cloud environments, where traditional inspection methods don’t exist. The challenges of delivering high fidelity security visibility into these environments will require new types of security tools that are just now being developed. Machine learning and neural networks, combined with new scalable methods of data collection and processing will provide the opportunity to keep up with the pace of growth in these new agile environments. The foundation of the SignalSense approach is an investment in data science that leverages a variety of machine learning methods, including deep learning, and GPU capacity to classify, characterize and profile network traffic. This enhances detection of threat and compromise, saving valuable investigation time for network security operators.
Every day at Mandiant, we see firsthand the impact of cyber-attacks on real people. This is what inspires us to fulfill our mission to help make every organization more secure from threats and confident in their cyber readiness. As one of the world`s most trusted cyber security firms, Mandiant responds to the security breaches that matter. Since our founding in 2004, Mandiant has become one of the world`s most trusted cyber security firms, helping identify and defend against some of the most high-profile cyber security breaches for top Fortune 100 companies and governments around the world.
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