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DefenseStorm provides an integrated platform of cyber risk assessment, governance, security, and fraud solutions that ensure financial institutions achieve and maintain cyber risk readiness. The only system specifically built for banking, it accounts for all the daunting challenges, regulations, and technology requirements financial institutions face. Their intelligent data engine, GRID ACTIVE, ensures real-time access, analysis, and action on all critical threat data. The Cyber Threat Surveillance Operations (CTS Ops) team offers access to managed resources 24x7x365, providing the help and expertise needed by financial institutions.
Endgame`s converged endpoint security platform is transforming security programs - their people, processes and technology - with the most powerful endpoint protection and simplest user experience, ensuring analysts of any skill level can stop targeted attacks before information theft. Endgame unifies prevention, detection, and threat hunting to stop known and unknown attacker behaviors at scale with a single agent.
Princeton Identity is the identity management company that makes security more convenient, accurate and reliable than ever before. Using iris recognition and other biometric technology, Princeton Identity enables businesses, global organizations and borders to simplify identity management, resulting in improved safety and protection.
Health-ISAC (Health Information Sharing and Analysis Center), is a global, non-profit, member-driven organization where health sector stakeholders join a trusted community and forum for coordinating, collaborating and sharing vital Physical and Cyber Threat Intelligence and best practices with each other. Members use this information to extend their security operations team and to create situational awareness, inform risk-based decision-making and mitigate against threats. Membership is open to public & private hospitals, ambulatory providers, health insurance payers, pharmaceutical/biotech manufacturers, laboratory, diagnostic, medical device manufacturers, medical schools, medical R&D organizations and other relevant health sector stakeholders. Member organizations become more resilient by working together, benefiting the entire health sector and its vital role in critical infrastructure worldwide.
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.