Search results for "amazon"
SlashNext launches intelligent phishing APIs to protect brands
SlashNext hasannounced the release of its 2.0Real time Phishing Defense APIs, designed to protect the reputation and brands of internet, messaging, hosting and cloud services from the exponential growth and dangers of phishing attacks worldwide. SlashNext also announced the free community version of its API designed for threat hunters, researchers and incident response teams to detect and respond to targeted phishing threats, while protecting the...
The ideal spot for technological transformation: parking
When you think of technological advancements in mobility self-driving cars, electric vehicles and smart motorways all spring to mind; the industry has been transformed through innovation. But it doesn’t stop there, parking is also a space in which innovation is thriving. There is far more to the parking sector than unjust tickets and a lack of spaces, the industry is taking advantage of technology that has been successful in other sectors a...
XGuard Monitor to secure of millions of devices
Karamba Security has announced that it is leveraging the fast market adoption of its XGuard embedded agents to announce its XGuard Monitor platform for fleet-wide security management. The company also announced that XGuard Monitor will be integrated with Micro Focus ArcSight Intelligence cloud analytics to offer comprehensive protection for IoT devices at large scale.
How will cyber criminals utilise growing online sales?
PwC’s 2020 US Holiday Outlook indicates that 61% of those surveyed will do most of their shopping online, as 55% mentioned the pandemic being the biggest concern preparing for Christmas this year. Accenture provides similar estimations with 75% respondents claiming they would at least partially shop for Christmas online.E-commerce vendors aim to grow their profits due to increased traffic in online stores, but this puts them in the spotligh...
Measuring consumer mobility experience for the first time
The Experiences Per Mile (EPM) Advisory Council, of which HARMAN is a founding member, has released a report that charts a new ambition to measure consumer mobility experience. With cross-industry collaboration at its heart – from the likes of HARMAN, Amazon, Spotify, Ford and others – the report unveils a mission to create an Experiences Per Mile Metric for the automotive industry.
QCloudServer IIoT solution for valuable edge-sourced data
Quantum Automation has announced availability of its QCloudServer industrial internet of things (QCS IIoT) system for remote monitoring and control applications. Traditionally, users have had to experiment with many hardware, software, and networking technologies for IIoT projects.
Xilinx and Spline.AI develop X-ray classification deep-learning model
Xilinx has introduced a fully functional medical X-ray classification deep-learning model and a reference design kit, in association with Spline.AI on Amazon Web Services (AWS). The high-performance model is deployed on the Xilinx Zynq UltraScale+ MPSoC device based ZCU104 and leverages the Xilinx deep learning processor unit (DPU), a soft-IP tensor accelerator, which is powerful enough to run a variety of neural networks, including classificatio...
Automation to shape cyber security for better or worse
Researchers in WatchGuard Technologies’ Threat Lab are predicting that automation will play a major role in shaping cyber security attack and defence activities in 2021.
Amazon-qualified reference design MCUs for Alexa products
STMicroelectronics has released an Amazon-qualified reference design package for smart connected devices leveraging Alexa Voice Service (AVS) Integration for AWS IoT Core, which can be used to create Alexa Built-in products using simple microcontrollers (MCUs).
Airthings launches Mould Risk Indication for its Wave Mini
Airthingsofficially debuts a new capability to its existing air quality monitor, Wave Mini. Beginning today, all Wave Mini devices, including those already in use, will now include mould risk indication. This Airthings-made algorithm uses existing sensors and historical data to inform of the likelihood of mould growth in an indoor location.