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IoT Security: Development of Standards & Guidelines
This report focuses on the development of IoT security standards, specifications, reference architectures and guidelines. With a fragmented IoT ecosystem, the questions of interoperability, communication protocols, and security are a priority. The report analyses the various organizations working to develop tools, from general guidelines and best practices, to specifications that can address IoT security and safety.Continue
Reports & Data
Earlier this year, in May 2017, Rambus launched a new turnkey solution: CryptoManager IoT Security Service. The service, part of its broader CryptoManager platform, provides secure connectivity, lifecycle management, and advanced device monitoring for the IoT. The service is targeted at service providers and OEMs and is focused on providing security from the device all the way to the cloud. The security as a service solution includes a client software development kit (SDK) that is pre-integrated with chipset SDK and service providers’ IoT Platform as a Service (PaaS) offering. This integrated solution aims to reduce time-to-market through fast device onboarding, easy scaling of services, and the support of multiple device architectures.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
Cybersecurity Gets an Upgrade – Machine Learning, Automation, and the Potential for Artificial Intelligence
With each passing quarter cyberattacks are becoming increasingly more frequent and potent, causing organizations to adapt out of necessity to these emerging threats. Luckily, artificial intelligence (AI), machine learning (ML), and automation applications are also advancing rapidly and have finally found their way to cybersecurity.
This webinar will explore the benefits offered by these applications, as well as any vital prerequisites, and barriers for adoption. It will also describe the key current technologies (deep learning, user and entity behavior analytics [UEBA], and cognitive computing), provide insights regarding algorithm training approaches, and describe the current and future state of the market.This webinar will seek to answer key questions:
- How is ML applied in cybersecurity?
- How can companies derive value from it?
- What processes should be automated?
- What data sources should be used for algorithm training?
- What constitutes a good UEBA product?
- What does the future of AI hold for cybersecurity?
Biometric Payment Cards to Boost Banking Industry Security
Modern Cybersecurity Totally Futile in Quantum Computing Era
Unlocking the Next-Generation Powered Payment Cards Market
Secure Standardization Efforts Slowly Emerging for Fragmented IoT Ecosystem
All Eyes on India, the U.S. and China as the EMV Payment Cards Market Normalizes