/services/v2/node.json?q=[SearchTerm]

🚧
Permissions & Notes:

No permissions necessary.

The system requires theq parameter.

With the includeOnly parameter set to id and name (/services/v2/node.json?includeOnly=id,name) to the AnswerHub REST API.

We added this request in version 1.6.3.

You can use the following parameters in your search for content using a query request:

Paging*: page, pageSize
Search: q, type, lang
Projection: include, exclude, includeOnly
Other options**: wrap, v1

The system supports the following sorting criteria in a node query request (Not all sorting criteria currently work; only sort by date and sort by relevance work):

Criteria Name	Field	Order	Description
votes	score, extra.score	descending	This parameter sorts search results from the highest to the lowest vote count.
viewCount	extra.viewCount	descending	This parameter sorts search results from the highest to the lowest view count.
usedCount	extra.usedCount	descending	This parameter sorts search results from the highest to the lowest used count. (The used count is the number of actions performed on a specific node.)
reportCount	extra.reportCount	descending	This parameter sorts search results from the highest to the lowest report count. (The report count is the number of times a node has been reported.)
newest	creationDate	descending	This parameter sorts search results from the most recently to the least recently created.
hottest	(computed property)	descending	This parameter sorts search results from the most to least hot. (Hot is a computed property based on the Total number of answers (for questions) or comments (for ideas/articles) within a configurable number of days (default is 2; the admin can change this in Site > General > Navigation)
favoriteCount	extra.favoriteCount	descending	This parameter sorts search results from the highest to the lowest favorite count. (The favorite count is the number of times a user has made a node a favorite.)
default		descending	The default sorting is the same as active.
commentCount	extra.commentCount	descending	This parameter sorts search results from the highest to the lowest comment count.
answerCountDesc	extra.answerCount	descending	This parameter sorts search results from the highest to the lowest answer count.
answerCount	extra.answerCount	ascending	This parameter sorts search results from the lowest to the highest answer count.

Sample Requests

A GET search for content using a query request for "test" with results sorted by relevance sent to https://apidocs.cloud.answerhub.com using a human-readable Username/Password (answerhub/test123) would look like this:

📘
NOTE:
In the query search example above, the sort will default to sort=relevance. If you try to do a query search and a sort in the same request, the sort will automatically default to relevance. You should use the different query params in separate requests.

curl 
-u answerhub:test123 
-H "Accept: application/json" 
-H "Content-type: application/json" 
-X GET "https://apidocs.cloud.answerhub.com/services/v2/node.json?q=gps"

curl 
-u answerhub:test123 
-H "Accept: application/json" 
-H "Content-type: application/json" 
-X GET "https://apidocs.cloud.answerhub.com/services/v2/node.json?sort=viewCount"

👍
Use of pageSize and page:
Note, we used the parameter pageSize = 1 to decrease the length of the JSON Response shown below. Without this parameter, the response displays a full page worth of response. To change pages, simply add the page=[pageNumber] parameter in your query.

Sample Responses

Response for query search, q=gps"

{
    "name": "",
    "sort": "relevance",
    "page": 1,
    "pageSize": 15,
    "pageCount": 1,
    "listCount": 5,
    "totalCount": 6,
    "sorts": [
        "active",
        "newest",
        "hottest",
        "votes",
        "viewCount",
        "usedCount",
        "answerCount",
        "answerCountAsc",
        "commentCount",
        "favoriteCount",
        "followers",
        "reportCount"
    ],
    "list": [
        {
            "id": 128,
            "type": "question",
            "creationDate": 1545231744000,
            "creationDateFormatted": "12/19/2018 03:02 PM",
            "title": "Can the government track you if you have a GPS-enabled mobile phone?",
            "body": "",
            "bodyAsHTML": "",
            "author": {
                "id": 22,
                "username": "confused",
                "realname": "Confused User",
                "reputation": 0
            },
            "lastEditedAction": 153,
            "activeRevisionId": 128,
            "revisionIds": [
                128
            ],
            "lastActiveUserId": 22,
            "lastActiveDate": 1545231744000,
            "attachments": [],
            "childrenIds": [
                129
            ],
            "commentIds": [],
            "marked": false,
            "topics": [
                {
                    "id": 1,
                    "creationDate": 1545231736000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "science",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 37,
                    "getImmediateChildren": [],
                    "getParents": []
                },
                {
                    "id": 126,
                    "creationDate": 1545231744000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "gps",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 2,
                    "getImmediateChildren": [],
                    "getParents": []
                },
                {
                    "id": 127,
                    "creationDate": 1545231744000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "technology",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 6,
                    "getImmediateChildren": [],
                    "getParents": []
                }
            ],
            "primaryContainerId": 8,
            "containerIds": [
                7,
                8
            ],
            "slug": "can-the-government-track-you-if-you-have-a-gps-ena",
            "wiki": false,
            "score": 0,
            "depth": 0,
            "viewCount": 0,
            "upVoteCount": 0,
            "downVoteCount": 0,
            "nodeStates": [],
            "answers": [
                129
            ],
            "answerCount": 1
        },
        {
            "id": 399,
            "type": "question",
            "creationDate": 1545231762000,
            "creationDateFormatted": "12/19/2018 03:02 PM",
            "title": "Can the government track you if you have a GPS-enabled mobile phone?",
            "body": "",
            "bodyAsHTML": "",
            "author": {
                "id": 22,
                "username": "confused",
                "realname": "Confused User",
                "reputation": 0
            },
            "lastEditedAction": 420,
            "activeRevisionId": 399,
            "revisionIds": [
                399
            ],
            "lastActiveUserId": 22,
            "lastActiveDate": 1545231762000,
            "attachments": [],
            "childrenIds": [
                400
            ],
            "commentIds": [],
            "marked": false,
            "topics": [
                {
                    "id": 1,
                    "creationDate": 1545231736000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "science",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 37,
                    "getImmediateChildren": [],
                    "getParents": []
                },
                {
                    "id": 126,
                    "creationDate": 1545231744000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "gps",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 2,
                    "getImmediateChildren": [],
                    "getParents": []
                },
                {
                    "id": 127,
                    "creationDate": 1545231744000,
                    "creationDateFormatted": "12/19/2018 03:02 PM",
                    "name": "technology",
                    "author": {
                        "id": 22,
                        "username": "confused",
                        "realname": "Confused User",
                        "reputation": 0
                    },
                    "usedCount": 6,
                    "getImmediateChildren": [],
                    "getParents": []
                }
            ],
            "primaryContainerId": 8,
            "containerIds": [
                7,
                8
            ],
            "slug": "can-the-government-track-you-if-you-have-a-gps-ena-1",
            "wiki": false,
            "score": 0,
            "depth": 0,
            "viewCount": 0,
            "upVoteCount": 0,
            "downVoteCount": 0,
            "nodeStates": [],
            "answers": [
                400
            ],
            "answerCount": 1
        },
        {
            "id": 617,
            "type": "kbentry",
            "creationDate": 1547066760000,
            "creationDateFormatted": "01/09/2019 08:46 PM",
            "title": "Simply Having APIs Is Not Enough",
            "body": "<div class=\"fr-view clearfix\"><div class=\"fr-view clearfix\"><p>For several years now, the conventional wisdom among both business and DevOps professionals has been that well-designed APIs are a key contributor to the delivery of successful digital projects.</p>\n<p>In fact, our <a rel=\"nofollow noopener noreferrer\" href=\"http://rewrite.ca.com/us/articles/digital-transformation/exploiting-the-software-advantage-lessons-from-digital-disrupter.html\" target=\"_blank\">study from 2015</a> showed that almost all ?digital disrupters? ? companies at the leading edge of innovation ? had leveraged APIs to achieve twice the revenue growth of their mainstream counterparts. Digging deeper, the research also showed that the best predictor of success is not just having APIs, but having them in the context of a properly managed and coordinated API program.</p>\n<p>APIs accelerate innovation, which in turn leads to the great digital experiences that make consumers and shareholders take notice.</p>\n<p>Mobile apps that give us a constant link to our vehicles, finances, and families; smart devices that monitor our homes and bodies; connected sensors that allow us to track anything in physical space ? these are the emerging use cases that are catapulting businesses into the realm of exponential growth.</p>\n<p>While APIs provide the connectivity that brings these experiences to life, recent events make it painfully clear that in the absence of proper governance and management, they also become a gateway to nightmare scenarios.</p>\n<h2><strong>What Happens Without API Management?</strong></h2>\n<p>One of the more <a rel=\"nofollow noopener noreferrer\" href=\"http://jalopnik.com/how-the-nissan-leaf-can-be-hacked-via-web-browser-from-1761044716\" target=\"_blank\">vivid examples</a> occurred just last month, when security researchers revealed that APIs used to connect the Nissan mobile app to Leaf electric vehicles were implemented without encryption or authentication.</p>\n<p>Anyone with the server address and a vehicle identification number (VIN) could not only intercept personal data including trip logs, but also activate cabin features, anonymously and from anywhere in the world. Primary functions such as throttle, brakes, and steering were not affected this time around, but as cars become ever more autonomous, it?s easy to imagine the safety implications of future vehicle API hacks.</p>\n<h2><strong>API Management Helps to Restore Control</strong></h2>\n<p>As the ?last mile? between mobile apps, IoT endpoints, and their backend services, APIs have rapidly become the new perimeter for today?s digital businesses. In turn, API governance and management have risen from being minor considerations to critical factors in both the design and delivery of digital experiences.</p>\n<p>Properly implemented, API management restores perimeter awareness, security, and control to enterprises, even as they are increasingly exposed to connected ?things? outside the firewall ? whether those things are phones, tablets, cars, baby monitors, webcams, GPS trackers, fitness monitors, or just about any other modern product.</p>\n<p>Of all the businesses in the world, digital disrupters from our survey have had the most experience with this kind of exposure, and it?s telling that they have concluded that proper management of APIs is critical for reducing its risks. Be one of those digital disrupters. Avoid being that Nissan guy.</p>\n<p>For more information about the 13 essential capabilities that API management can bring to your digital initiatives, download the free <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/ebook/the-api-management-playbook.register.html\" target=\"_blank\">API Management Playbook</a>.</p></div></div>",
            "bodyAsHTML": "<div class=\"fr-view clearfix\">\n <div class=\"fr-view clearfix\">\n  <p>For several years now, the conventional wisdom among both business and DevOps professionals has been that well-designed APIs are a key contributor to the delivery of successful digital projects.</p> \n  <p>In fact, our <a rel=\"nofollow noopener noreferrer\" href=\"http://rewrite.ca.com/us/articles/digital-transformation/exploiting-the-software-advantage-lessons-from-digital-disrupter.html\" target=\"_blank\">study from 2015</a> showed that almost all ?digital disrupters? ? companies at the leading edge of innovation ? had leveraged APIs to achieve twice the revenue growth of their mainstream counterparts. Digging deeper, the research also showed that the best predictor of success is not just having APIs, but having them in the context of a properly managed and coordinated API program.</p> \n  <p>APIs accelerate innovation, which in turn leads to the great digital experiences that make consumers and shareholders take notice.</p> \n  <p>Mobile apps that give us a constant link to our vehicles, finances, and families; smart devices that monitor our homes and bodies; connected sensors that allow us to track anything in physical space ? these are the emerging use cases that are catapulting businesses into the realm of exponential growth.</p> \n  <p>While APIs provide the connectivity that brings these experiences to life, recent events make it painfully clear that in the absence of proper governance and management, they also become a gateway to nightmare scenarios.</p> \n  <h2><strong>What Happens Without API Management?</strong></h2> \n  <p>One of the more <a rel=\"nofollow noopener noreferrer\" href=\"http://jalopnik.com/how-the-nissan-leaf-can-be-hacked-via-web-browser-from-1761044716\" target=\"_blank\">vivid examples</a> occurred just last month, when security researchers revealed that APIs used to connect the Nissan mobile app to Leaf electric vehicles were implemented without encryption or authentication.</p> \n  <p>Anyone with the server address and a vehicle identification number (VIN) could not only intercept personal data including trip logs, but also activate cabin features, anonymously and from anywhere in the world. Primary functions such as throttle, brakes, and steering were not affected this time around, but as cars become ever more autonomous, it?s easy to imagine the safety implications of future vehicle API hacks.</p> \n  <h2><strong>API Management Helps to Restore Control</strong></h2> \n  <p>As the ?last mile? between mobile apps, IoT endpoints, and their backend services, APIs have rapidly become the new perimeter for today?s digital businesses. In turn, API governance and management have risen from being minor considerations to critical factors in both the design and delivery of digital experiences.</p> \n  <p>Properly implemented, API management restores perimeter awareness, security, and control to enterprises, even as they are increasingly exposed to connected ?things? outside the firewall ? whether those things are phones, tablets, cars, baby monitors, webcams, GPS trackers, fitness monitors, or just about any other modern product.</p> \n  <p>Of all the businesses in the world, digital disrupters from our survey have had the most experience with this kind of exposure, and it?s telling that they have concluded that proper management of APIs is critical for reducing its risks. Be one of those digital disrupters. Avoid being that Nissan guy.</p> \n  <p>For more information about the 13 essential capabilities that API management can bring to your digital initiatives, download the free <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/ebook/the-api-management-playbook.register.html\" target=\"_blank\">API Management Playbook</a>.</p>\n </div>\n</div>",
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        {
            "id": 635,
            "type": "kbentry",
            "creationDate": 1547066767000,
            "creationDateFormatted": "01/09/2019 08:46 PM",
            "title": "Testing the Internet of Everything",
            "body": "<div class=\"fr-view clearfix\"><div class=\"fr-view clearfix\"><p>The so-called Internet of Things (IoT) or Internet of Everything (IoE) is one of the fastest growing trends in technology, with Gartner having forecast <a rel=\"nofollow noopener noreferrer\" href=\"http://www.gartner.com/newsroom/id/3165317\" target=\"_blank\">6.4 billion connected ?things? in use in 2016</a>. It will be accompanied by fresh challenges as well as opportunities, and this is especially true when it comes to testing the connected devices and their software.</p>\n<h2>The Additional Complexity of the Internet of Things</h2>\n<p>A new article written for CA by Paul Gerrard, Principal, Gerrard Consulting, considers ?<a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/white-papers/how-will-the-internet-of-things-affect-testers.register.html\" target=\"_blank\">How will the Internet of Things Affect Testers?</a>? The potential risks of failure Paul identifies include the complexity of ?interactions between devices? which ?may be unpredicted, unforeseen and unknown?.</p>\n<p>This is not a new challenge for testers who are often faced with more possible combinations than can reasonably be tested, while many of these combinations can be unknown. In both API testing and the IoT, for instance, testers are faced with numerous discrete units of work, each of which can be combined in different ways.</p>\n<p>Some of these APIs might have been created by a third party, while the possible ordering and combinations of different versions of APIs can cause the number of combinations which might be tested to skyrocket to an impossible number.</p>\n<p>The ability to ?? identify the hundreds, thousands or millions of tests? needed to rigorously test the interconnected devices will therefore be necessary when testing the IoT, as it is already in API testing. This will require the ability to systematically reducing the number of tests to a realistic number without compromising quality and Paul, like CA, advocates a <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/white-papers/models-at-heart.register.html\" target=\"_blank\">Model-Based approach</a> to achieve this.</p>\n<h2>Some New Tools and Technology Will Be Needed, Some Might Already Exist</h2>\n<p>There are features particular to the IoT which might make it particularly complex, however. Among other factors, Paul identifies the lower level hardware devices often involved, as well as the fact that the user base might be millions of mobile individuals, with objects moving across networks and certain devices carrying their own network.</p>\n<p>When considering how to perform functional testing in the face of such complexity, Paul suggests numerous requirements. Testers will need to be able to simulate ?thousands or millions of devices?, as well as having ?data that is fit for purpose?. The latter will involve the ability to generate and edit data, as well as to monitor and track its usage.</p>\n<p>On the surface, these requirements are similar to the current need of testers to have constant access to realistic test data and production-like systems. Along with effective test case design, having the right data and environments form three pillars of rigorous testing at speed.</p>\n<p>The IoT will of course present new challenges. It will require tooling to ?execute very large numbers of tests?, as well as the more fundamental challenge of creating these tests in the first place. <a rel=\"nofollow noopener noreferrer\" href=\"http://www.ca.com/us/lpg/perfecto-mobile-inc.aspx\" target=\"_blank\">Tools are emerging</a>, however, capable of executing tests efficiently across both software and hardware, while Model-Based approaches will presumably have a role to play here too.</p>\n<p>Similarly, <a rel=\"nofollow noopener noreferrer\" href=\"http://www.ca.com/gb/products/ca-test-data-manager.html\" target=\"_blank\">high performance data generation engines</a> which offer sufficiently comprehensive data generation functions already exist to create ?trusted data sets? based on ?real world operations?. CA worked with Hitachi Consulting, for instance, to generate realistic data for performance testing as part of Copenhagen?s move to become a smart city. As set out in chapter 5 of Hitachi Consulting?s eBook, <a rel=\"nofollow noopener noreferrer\" href=\"http://learn.hitachiconsulting.com/Engineering-the-New-Reality\" target=\"_blank\"><em>Engineering the New Reality</em></a>, this included creating data on the basis of historical data from 1.7 billion GPS journeys, while also learning from physical sensors such as GPS in mobile devices.</p>\n<h2>A Solid Foundation</h2>\n<p>The IoT will therefore present fresh challenges for testing, but there are already solid foundations on which it can build. As Paul concludes, ?testers will have to learn to create better test models and how to use them with more technical modelling and simulation tools?, but some of the techniques and technology already appear in place, and seem to be moving in the right direction to accommodate this shift.</p></div></div>",
            "bodyAsHTML": "<div class=\"fr-view clearfix\">\n <div class=\"fr-view clearfix\">\n  <p>The so-called Internet of Things (IoT) or Internet of Everything (IoE) is one of the fastest growing trends in technology, with Gartner having forecast <a rel=\"nofollow noopener noreferrer\" href=\"http://www.gartner.com/newsroom/id/3165317\" target=\"_blank\">6.4 billion connected ?things? in use in 2016</a>. It will be accompanied by fresh challenges as well as opportunities, and this is especially true when it comes to testing the connected devices and their software.</p> \n  <h2>The Additional Complexity of the Internet of Things</h2> \n  <p>A new article written for CA by Paul Gerrard, Principal, Gerrard Consulting, considers ?<a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/white-papers/how-will-the-internet-of-things-affect-testers.register.html\" target=\"_blank\">How will the Internet of Things Affect Testers?</a>? The potential risks of failure Paul identifies include the complexity of ?interactions between devices? which ?may be unpredicted, unforeseen and unknown?.</p> \n  <p>This is not a new challenge for testers who are often faced with more possible combinations than can reasonably be tested, while many of these combinations can be unknown. In both API testing and the IoT, for instance, testers are faced with numerous discrete units of work, each of which can be combined in different ways.</p> \n  <p>Some of these APIs might have been created by a third party, while the possible ordering and combinations of different versions of APIs can cause the number of combinations which might be tested to skyrocket to an impossible number.</p> \n  <p>The ability to ?? identify the hundreds, thousands or millions of tests? needed to rigorously test the interconnected devices will therefore be necessary when testing the IoT, as it is already in API testing. This will require the ability to systematically reducing the number of tests to a realistic number without compromising quality and Paul, like CA, advocates a <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/collateral/white-papers/models-at-heart.register.html\" target=\"_blank\">Model-Based approach</a> to achieve this.</p> \n  <h2>Some New Tools and Technology Will Be Needed, Some Might Already Exist</h2> \n  <p>There are features particular to the IoT which might make it particularly complex, however. Among other factors, Paul identifies the lower level hardware devices often involved, as well as the fact that the user base might be millions of mobile individuals, with objects moving across networks and certain devices carrying their own network.</p> \n  <p>When considering how to perform functional testing in the face of such complexity, Paul suggests numerous requirements. Testers will need to be able to simulate ?thousands or millions of devices?, as well as having ?data that is fit for purpose?. The latter will involve the ability to generate and edit data, as well as to monitor and track its usage.</p> \n  <p>On the surface, these requirements are similar to the current need of testers to have constant access to realistic test data and production-like systems. Along with effective test case design, having the right data and environments form three pillars of rigorous testing at speed.</p> \n  <p>The IoT will of course present new challenges. It will require tooling to ?execute very large numbers of tests?, as well as the more fundamental challenge of creating these tests in the first place. <a rel=\"nofollow noopener noreferrer\" href=\"http://www.ca.com/us/lpg/perfecto-mobile-inc.aspx\" target=\"_blank\">Tools are emerging</a>, however, capable of executing tests efficiently across both software and hardware, while Model-Based approaches will presumably have a role to play here too.</p> \n  <p>Similarly, <a rel=\"nofollow noopener noreferrer\" href=\"http://www.ca.com/gb/products/ca-test-data-manager.html\" target=\"_blank\">high performance data generation engines</a> which offer sufficiently comprehensive data generation functions already exist to create ?trusted data sets? based on ?real world operations?. CA worked with Hitachi Consulting, for instance, to generate realistic data for performance testing as part of Copenhagen?s move to become a smart city. As set out in chapter 5 of Hitachi Consulting?s eBook, <a rel=\"nofollow noopener noreferrer\" href=\"http://learn.hitachiconsulting.com/Engineering-the-New-Reality\" target=\"_blank\"><em>Engineering the New Reality</em></a>, this included creating data on the basis of historical data from 1.7 billion GPS journeys, while also learning from physical sensors such as GPS in mobile devices.</p> \n  <h2>A Solid Foundation</h2> \n  <p>The IoT will therefore present fresh challenges for testing, but there are already solid foundations on which it can build. As Paul concludes, ?testers will have to learn to create better test models and how to use them with more technical modelling and simulation tools?, but some of the techniques and technology already appear in place, and seem to be moving in the right direction to accommodate this shift.</p>\n </div>\n</div>",
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                "username": "Tom.Pryce",
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                {
                    "id": 621,
                    "creationDate": 1547066763000,
                    "creationDateFormatted": "01/09/2019 08:46 PM",
                    "name": "iot",
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        {
            "id": 794,
            "type": "kbentry",
            "creationDate": 1547066891000,
            "creationDateFormatted": "01/09/2019 08:48 PM",
            "title": "IoT in the Age of GDPR: 3 Tips for Success",
            "body": "<div class=\"fr-view clearfix\"><div class=\"fr-view clearfix\"><p>As organizations are beginning to build digital strategies that span web, mobile, and connected devices, they are encountering a new business landscapes that pose&nbsp;unprecedented challenges around data management, integration, user experience, and security.</p> \n<p>With the Internet of Things (IoT) driving a large part of this digitalization, enterprises are becoming more global and more connected than ever before. The line between industries is blurring as application programming interfaces (APIs) exchange data between app providers, payment processors, health and medical services, and consumer devices ? to name just a few examples of their reach. It is vital, then, that modern organizations approach digital business with an international and industry-agnostic mindset.</p> \n<p>Trust in technology and its components of privacy and security is an issue driving customer attention worldwide. This will translate increasingly to global regulatory mandates and legislation. Organizations, therefore, must be aware of how the regulations, challenges, and opportunities of doing business in specific countries or verticals will impact their enterprise ? either directly or through their customers, partners, and the business landscape at large.</p> \n<p>GDPR is one topical example. Although it is a European law, it will affect the majority of global businesses ? especially those investing in IoT. Let's look at the top 3 tips for preparing your IoT strategy for GDPR.</p> \n<h3><strong>1. Create situational awareness: think critically about the data your IoT systems collect and how to ensure business value outweighs the risk.</strong></h3> \n<p>As the number of connected devices and services grows with your IoT strategy, it can be easy to simply collect as much data as possible. But with GDPR, businesses must decide if the value of data is worth the effort it will take to obtain the appropriate permissions and to put in place adequate security to safeguard it.</p> \n<p>For example, IP address and GPS location are considered personal data and will require a clear legal ground to use. GPS location has been a fairly standard data type to collect from mobile apps and connected devices and provides value to many IoT solutions. Businesses must decide whether they will continue to collect this data, and if so, how to build the necessary features within their apps to obtain user permission.</p> \n<p>Biometrics is also considered a special category under GDPR with more stringent regulations for their collection and use. As connected devices like Amazon's Alexa enable new digital experiences such as voice recognition for mobile banking, global organizations building these types of integrations for customers must take into account GDPR and other privacy and security compliance requirements.</p> \n<h3><strong>2. Use GDPR as an opportunity to build security and privacy throughout.</strong></h3> \n<p>GDPR provides a strong framework for all companies to approach data protection: building security and privacy by design into IoT deployments. As you develop and build new applications, you must integrate a privacy and security mindset throughout that process. Not simply for compliance purposes, but also to drive real business differentiation.</p> \n<p>For example, one question needs to be where data is stored and how it is secured, including who has access to it. Such thinking will allow your business to gain value from IoT, as data must not be locked up in legacy systems or in silos. Rather, a high degree of integration must exist for data flowing from connected devices, apps, business systems, and third parties.</p> \n<p>Securing this data while enabling access will be crucial. This means supporting robust and scalable security from device to app to API to protect the &quot;triangle of trust&quot;&nbsp;? users, apps, and devices. To do so, enterprises must know where their data lives and be able to drill down to granular data such as at the device level. This enables both analysis and the ability to delete specific consumer data if directed to under GDPR.</p> \n<h3><strong>3. It?s not just about you: understand the security approaches taken by partners and system integrators to ensure data flowing into and out of your enterprise is protected.</strong></h3> \n<p>Organizations with an IoT strategy are likely supporting a number of integrations at the device, system, or partner level. This exchange of data opens the enterprise to compromise for which it may be liable under GDPR, posing implications for many global, IoT-driven companies with broad partner or integration ecosystems.</p> \n<p>For these organizations, robust <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/products/api-management.html\" target=\"_blank\">API management</a> solutions provide security at the API level to protect enterprise data leaving the organization. They enable authorization and access management that ensures that only trusted third parties have access to data, and only to data that the business has designated or is legally able to share. This makes it easier to track permissions at a high-level for partners and consumers.</p> \n<p>Building a digital strategy with the above three tips in mind better prepares you for success in IoT, taking into account GDPR and what comes next.</p> \n<p>To learn more about GDPR, <a rel=\"nofollow noopener noreferrer\" href=\"https://twitter.com/CAinc/status/1000049570196459520\" target=\"_blank\">hear from CA's Chief Privacy Strategist</a>.</p> \n<p>Visit <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/products/api-management-accelerate.html?intcmp=headernav\" target=\"_blank\">CA's IoT resource hub</a> for more information on building a secure, scalable IoT strategy.</p></div></div>",
            "bodyAsHTML": "<div class=\"fr-view clearfix\">\n <div class=\"fr-view clearfix\">\n  <p>As organizations are beginning to build digital strategies that span web, mobile, and connected devices, they are encountering a new business landscapes that pose&nbsp;unprecedented challenges around data management, integration, user experience, and security.</p> \n  <p>With the Internet of Things (IoT) driving a large part of this digitalization, enterprises are becoming more global and more connected than ever before. The line between industries is blurring as application programming interfaces (APIs) exchange data between app providers, payment processors, health and medical services, and consumer devices ? to name just a few examples of their reach. It is vital, then, that modern organizations approach digital business with an international and industry-agnostic mindset.</p> \n  <p>Trust in technology and its components of privacy and security is an issue driving customer attention worldwide. This will translate increasingly to global regulatory mandates and legislation. Organizations, therefore, must be aware of how the regulations, challenges, and opportunities of doing business in specific countries or verticals will impact their enterprise ? either directly or through their customers, partners, and the business landscape at large.</p> \n  <p>GDPR is one topical example. Although it is a European law, it will affect the majority of global businesses ? especially those investing in IoT. Let's look at the top 3 tips for preparing your IoT strategy for GDPR.</p> \n  <h3><strong>1. Create situational awareness: think critically about the data your IoT systems collect and how to ensure business value outweighs the risk.</strong></h3> \n  <p>As the number of connected devices and services grows with your IoT strategy, it can be easy to simply collect as much data as possible. But with GDPR, businesses must decide if the value of data is worth the effort it will take to obtain the appropriate permissions and to put in place adequate security to safeguard it.</p> \n  <p>For example, IP address and GPS location are considered personal data and will require a clear legal ground to use. GPS location has been a fairly standard data type to collect from mobile apps and connected devices and provides value to many IoT solutions. Businesses must decide whether they will continue to collect this data, and if so, how to build the necessary features within their apps to obtain user permission.</p> \n  <p>Biometrics is also considered a special category under GDPR with more stringent regulations for their collection and use. As connected devices like Amazon's Alexa enable new digital experiences such as voice recognition for mobile banking, global organizations building these types of integrations for customers must take into account GDPR and other privacy and security compliance requirements.</p> \n  <h3><strong>2. Use GDPR as an opportunity to build security and privacy throughout.</strong></h3> \n  <p>GDPR provides a strong framework for all companies to approach data protection: building security and privacy by design into IoT deployments. As you develop and build new applications, you must integrate a privacy and security mindset throughout that process. Not simply for compliance purposes, but also to drive real business differentiation.</p> \n  <p>For example, one question needs to be where data is stored and how it is secured, including who has access to it. Such thinking will allow your business to gain value from IoT, as data must not be locked up in legacy systems or in silos. Rather, a high degree of integration must exist for data flowing from connected devices, apps, business systems, and third parties.</p> \n  <p>Securing this data while enabling access will be crucial. This means supporting robust and scalable security from device to app to API to protect the &quot;triangle of trust&quot;&nbsp;? users, apps, and devices. To do so, enterprises must know where their data lives and be able to drill down to granular data such as at the device level. This enables both analysis and the ability to delete specific consumer data if directed to under GDPR.</p> \n  <h3><strong>3. It?s not just about you: understand the security approaches taken by partners and system integrators to ensure data flowing into and out of your enterprise is protected.</strong></h3> \n  <p>Organizations with an IoT strategy are likely supporting a number of integrations at the device, system, or partner level. This exchange of data opens the enterprise to compromise for which it may be liable under GDPR, posing implications for many global, IoT-driven companies with broad partner or integration ecosystems.</p> \n  <p>For these organizations, robust <a rel=\"nofollow noopener noreferrer\" href=\"https://www.ca.com/us/products/api-management.html\" target=\"_blank\">API management</a> solutions provide security at the API level to protect enterprise data leaving the organization. They enable authorization and access management that ensures that only trusted third parties have access to data, and only to data that the business has designated or is legally able to share. 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