As industries increase IoT adoption and more solutions are positioned for rollout, IoT security has emerged as a concern for many customers. Watson IoT Platform is secure by design and all customers have access to robust security features designed to protect IoT Devices, Applications and Data. At the same time, not all IoT solutions are the same; some have unique security needs or specific sensitivities that require careful analysis, planning and preparation.
IBM is introducing new Advanced Security IoT service capabilities that extend Watson IoT Platform with Threat Intelligence for IoT. Customers may now visualize critical risks in the IoT landscape and create policy-driven mitigation actions to automate operational responses for millions of devices.
Generally Available on January 16, 2017, our new Advanced Security plan for the Watson IoT Platform will enable customers to access Advanced Security IoT service capabilities. The Advanced Security plan uses data exchanged metrics consistent with the existing Watson IoT Platform Standard plan. The new Advanced Security capabilities are included in Watson IoT Platform Lite Plan which includes 100 MB data exchanged for free every month enabling you to easily explore advanced security capabilities before switching to an Advanced Security plan subscription.
The Advanced Security price plan offers tiered pricing for data exchanged. Details for Bluemix Public are included below.
Imagine, you are in a conversation with a chatbot and you feel that the human angle is completely missing because the bot starts it's dialog with a usual "Hi" or "Hello". You may want to personify the conversation by adding the name of the person (who's logged in) to the boring "Hi" or "Hello". Ever thought of this? It's not just personification, How about wishing appropriately based on the time of the day someone invokes your chat application? Also, how about passing values back and forth during a conversation between the nodes or from application to a node?
Creating and maintaining chatbots in multiple languages can be costly, error-prone, and not easily scalable. Each change in a bot needs to be manually replicated across each language the bot supports. The manual nature of maintaining multilingual chatbots can have a real impact on continuous delivery as the language-specific changes must be performed by language experts and this takes time. Moreover, we need to pay for every single change – intents, entities, and bot output. This can get expensive very quickly — so, what's the best way to translate chatbots into different languages without impeding continuous delivery and disrupting DevOps?