SAN FRANCISCO, Oct. 30, 2018 /PRNewswire/ -- Rubicon Labs, a leader in providing secure identity and subscription services for the IoT, healthcare, and connected transport markets, will present "The Emerging Battle for the IoT EDGE." Rubicon Lab's Chief Product Officer Rod Schultz joins a select group of cyber-security thought leaders to present the key technologies and challenges around the IoT EDGE which is the latest battleground in connected computing. Learn how new approaches to secure identity must be re-imagined for the heterogeneous EDGE, and how meeting these needs and challenges at the EDGE will give enterprises a competitive advantage and protect the next wave of innovation.
More than 10 billion devices have been connected over the last few years and several profitable business models have emerged from these simple cloud connections. This has been the low hanging fruit. The next challenge is upon us. We are poised to be awash in data and the real promise of IoT is low latency processing of data as close to the source as possible. But enabling low latency processing is not just simply replicating topology and control systems of the cloud or enabling a more complex end point. Merely replicating approaches to processing and securing the cloud or end device will fail if applied to the new EDGE processing paradigm.
The EDGE is a heterogeneous ecosystem with untrusted barriers which dramatically increases the attack surface of connected networks. Breaches have been front page news and the industry is finally responding with better security features at the cloud and at the microcontroller. The technology to secure these cloud to device networks is finally shipping in volume. The next gap is to secure the EDGE.
The EDGE and its innovation surrounding its rollout are key to these challenges. For example, in the automotive and connective transport market, the localized EDGE is generating massive amounts of unstructured data that needs to be authenticated and then processed using a wide variety of processors. AI and ML workloads will be most beneficial if processed as close to the source data as possible. This is not your mothers' cloud computing. Additionally, one size fits all processors are a thing of the past. EDGE workloads will just as likely be running on GPU's and FPGA as the will on CPUs. Clearly a new approach to identity and security at the EDGE will be required.
Schultz in his talk will provide solutions for empowering the EDGE including discussing how EdgeX Foundry is providing a framework to help design, develop, and deploy solutions faster. In turn, this will help enable the business opportunities and services and for fast ROI for any IoT investment. Rubicon Labs is a member of EdgeX Foundry, an open-source, vendor-neutral project that enables an ecosystem of plug-and-play components to unify the IoT edge computing marketplace.
Schultz's IoT Device Security Summit presentation -- "The Emerging Battle for the IoT Edge: How Security can be Used to Gain Competitive Advantage and Protect the Next Wave of Innovation" -- will be held at 2:30pm pm, Oct. 30, 2018 in the Hyatt Regency Santa Clara, Santa Clara, CA, as part of the conference's Track II.
About Rubicon Labs Rubicon Labs provides trust, identity, and security for connected IoT devices. The company believes secure identities are foundational to help the IoT market achieve its massive potential. Rubicon Labs has created a unique platform to provide security and identity seamlessly from the cloud to gateway and even to the most resource-constrained IoT endpoints.
Rubicon Labs' Identity Platform is delivered as Software as a Service (SaaS), providing developers with a simple path to authenticate, secure and control their devices. Once identity is provisioned, data can be encrypted and signed, devices can be controlled with policies and over-the-air updates can be targeted to unique devices.
Rubicon Labs is based in San Francisco and operates an R&D lab in Austin, Texas. The company is venture-backed by Third Point Ventures, Pelion Venture Partners, and Akamai Technologies.