The October NY Enterprise Tech Meetup had an eclectic group of presentations from four startups focused on completely different sectors, including security and privacy. It was the usual packed house at this meetup where New York always gets down to business.
Built as a means of streamlining B2B ecommerce and field sales for distributors and stores, Handshakel is a platform of mobile apps that helps salespeople to get products into stores. The platform covers unit pricing, customers, order history, and sales reports, along with numerous other useful features, like product descriptions with photos and available quantities. Salespeople can create discounts and modify orders on the fly through the app, and store owners (customers) can order more of a specific item without having to meet with the sales representative again.
An application platform (PaaS), the DEIS Project is an open source project where developers can create applications, deploy code, and configure runtime environments within the docker ecosystem. The system is completely free and updates regularly, with dozens of contributors and more than 200 deployments. The system also scales within seconds, and quickly responds to stress tests, like spikes in traffic.
Essentially a “grading service” for the Internet, Security Scorecard watches for security signals and triggers to benchmark companies and the strength of their defenses. It’s non-obtrusive and constantly checks through the numerous risks associated with cloud computing. Rather than utilizing static penetration tests, the grading system uses real-time events and anticipated outcomes. Companies can be compared to each other and easily searched through a clean and streamlined web interface.
A query layer to safeguard data, Blue Talon protects sensitive pharmaceutical data for users and researchers. Sensitive data is oftentimes spread out amongst multiple users and organizations, and Blue Talon works as a means of protecting that data. Users can access only the specific data they’re entitled to, and the rest remains safe. Sensitive data can be used for analysis without everything being revealed, and parameters can be applied to determine how much data to show, along with what it can be used for.