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Afferent Security Labs is a Lenexa, KS-based company in the Computers and Electronics sector.
lllusive continuously discovers and automatically remediates privileged identity risks that are exploited in all ransomware and other cyberattacks. Despite best-practice investments to protect identities, including deployment of PAM and MFA, 1 in 6 enterprise endpoints holds exploitable identity risks. Illusive makes it easy for security teams to get visibility into the vulnerable identities sprawled across an organization`s endpoints and servers, then eliminate them or deploy deception-based detection techniques as a compensating control to stop attackers. Illusive has participated in over 140 red team exercises and has never lost one! Founded by nation state attackers, Illusive`s technology is trusted by large global financial companies, retailers, services organizations, and pharmaceutical companies.
LightCyber is a leading provider of Behavioral Attack Detection solutions that provide accurate and efficient security visibility into attacks that have slipped through the cracks of traditional security controls. The LightCyber Magna™ platform is the first security product to integrate user, network and endpoint context to provide security visibility into a range of attack activity. Founded in 2012 and led by world-class cyber security experts, the company`s products have been successfully deployed by top-tier customers around the world in the financial, legal, telecom, government, media and technology sectors.
HIV Network Edmonton Soc. is a Edmonton, AB-based company in the Computers and Electronics sector.
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.