| Name | Title | Contact Details |
|---|---|---|
Mayur Nagpure |
Senior Director of Information Security | Profile |
Chenega Technology Services is a Alexandria, VA-based company in the Computers and Electronics sector.
Microseven Systems is a Walnut, CA-based company in the Computers and Electronics sector.
nAppliance Networks is a San Jose, CA-based company in the Computers and Electronics sector.
Founded in 1999, Lazarus Alliance has been on the cutting edge of IT security, risk, privacy, governance, cyberspace law and compliance leadership, innovation and services provided to the global community. With significant contributions and innovations such as The Policy Machine, SafetyNET, the Holistic Operational Readiness Security Evaluation (HORSE Project), The Security Trifecta, Your Personal CXO and many other progressive initiatives, it’s no wonder that Lazarus Alliance has become a leading international name synonymous with leadership, quality, customer service and innovation. Lazarus Alliance’s primary purpose is to help organizations attain, maintain, and demonstrate compliance and information security excellence – in any jurisdiction. Lazarus Alliance specializes in IT security, risk, privacy, governance, cyberspace law and compliance leadership solutions and is fully dedicated to global success in these disciplines.
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.