Vector Flow has launched what it claims to be the industry’s first AI-powered, data-centric physical security automation platform. In addition, the manufacturer has also announced its Series A funding of US$9.2M from Silicon Valley’s premium venture firms, led by Mayfield Fund with participation from Foundation Capital.
“As a people first investor, I was impressed by the innovation and rigour that repeat entrepreneurs Ajay Jain and Vik Ghai brought to solving the physical cyber security problem for enterprises,” said Navin Chaddha, Mayfield Managing Director and Vector Flow board member. “By delivering the industry’s first AI-powered physical security automation platform, Vector Flow is solving a big and critical problem, that is protecting CEOs from personal liability for cyber-physical security incidents, something that Gartner has predicted could affect 75% of CEOs by 2024. I look forward to watching Vector Flow grow into a leader who delivers ROI and peace of mind to enterprises.”
“Vector Flow fills a tremendous void in the physical and cyber-physical security space with the industry’s first powerful and innovative AI-enabled platform that aggregates both structured and unstructured data from myriad systems, devices, logs, and journals,” added Ajay Jain, President and CEO of Vector Flow, Inc. “The platform performs real-time analysis to detect anomalies, trends and KPIs, and provides actionable insights, automated remedies and processes. The physical security industry is plagued with legacy disjointed applications, independent hardware, data stores and custom scripts that work in silos, creating inefficiencies and security gaps. A benchmark in data-driven security intelligence, the Vector Flow platform enables new levels of automation driving operational efficiencies and significantly reducing corporate risks and costs. In the post pandemic era, the current human-laden physical security world will quickly adopt digital transformation, touchless, and autonomous operations to rely on data to streamline operational processes and fill security gaps.”
The Vector Flow platform is built on a foundation of AI algorithms capable of processing and analysing vast amounts of data from otherwise disparate security systems, data stores and input devices. The platform comes with application designer studio and a workbench which can be used by the customer and the systems integration partner to extend any application running on the Vector Flow platform or to create a completely new application utilising the platform’s machine learning (ML) framework and designer tools without writing any code. This functionality extends the usefulness of any application as business processes change.
Three categories of solutions run on the new Vector Flow platform: Physical Workforce Identity Access Management (PIAM) which streamlines identity on/off boarding processes, physical access provisioning, access audits, compliance to regulations and risks analysis; Physical Security Operation Centre (SOC) Automation which employs deep AI-based automation for SOC operations and autonomous alarm reduction and reporting, along with multiple functions to optimize overall operations; and Cyber-Physical Security which performs an audit of physical security as it relates to cyber defence. For example, it enforces “defence in depth” concepts using advanced AI models to detect vulnerabilities related to critical infrastructure, like the data centres or laboratory doors. It also manages the vulnerabilities of the IoT devices in the physical security and building automation world to prevent cyber surface attacks.
The Vector Flow Platform is comprised of an application design studio and a workbench to build applications using Vector Flow’s integrated data lake and ML framework. It comes with visual rules configurator, playbook designer and forms designer to help customers easily extend business applications or write new applications as their business processes change. The runtime edition of the platform is available now. The developer edition of the platform will be available in 2022.
