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Zenedge is a leading, global provider of cloud-based, artificial intelligence-driven cybersecurity solutions. Zenedge solutions are powered by proprietary artificial intelligence (AI) technology, inspecting web traffic in real-time, identifying threats and behavior anomalies and dynamically updating security postures accordingly – enabling enterprises to take an adaptive and proactive approach to securing their networks.
ThreatQuotient`s mission is to improve the efficiency and effectiveness of security operations through a threat-centric platform. By integrating an organization`s existing processes and technologies into a single security architecture, ThreatQuotient accelerates and simplifies investigations and collaboration within and across teams and tools. Through automation, prioritization and visualization, ThreatQuotient`s solutions reduce noise and highlight top priority threats to provide greater focus and decision support for limited resources. ThreatQuotient is headquartered in Northern Virginia with international operations based out of Europe and APAC.
Contava is a Edmonton, AB-based company in the Computers and Electronics sector.
Ransomware threat is growing rapidly. While there are a whole bunch of security companies that are trying to prevent ransomware from getting into your network, Airgap`s Zero Trust Isolation Platform protects your organization even if your perimeter is breached or if you have unpatched vulnerable servers inside your data center. Additionally, Airgap`s Ransomware Kill Switch is the most potent ransomware response for the IT organization. Airgap can be deployed in minutes without any agents, forklift upgrades, or design changes. The company is founded by highly experienced cybersecurity experts and the solution is trusted by large enterprises and service providers.
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.