It is no secret that anti-malware software is inaccurate and cannot be trusted for your cybersecurity.

Some of the signs that leave no shadow of a doubt that you have been hacked are:

When you receive a message asking to pay a ransom to restore access to your lost data.
When you receive a warning that alerts you about the virus present in your system and suggests that you need to download an antivirus. It later offers a free fake antivirus.
When you start seeing random popups on your screen frequently.
When you find an unwanted browser toolbar that did not exist before.
When you receive a notification from someone that you have been hacked.
When your searches on the internet start getting redirected.
When your cursor moves between programs and makes selections by itself.
When your friends receive a social media invitation from you that you never sent.
When you start having unexpected software installed on your device.
When your confidential data gets leaked.
When your antivirus and task manager get disabled.

The first step you need to take after you find out that your system is hacked is to restore your data before proceeding with any other task. Just click on the restore button.

As we have always been taught, prevention is the best cure. That learning fits here more than anything else.

If you have been keeping a hope against hope that your antimalware program can thoroughly detect the virus and protect your network from any malicious hacking attack, then that, we would say, is no less than a recipe for disaster.

The best way to fight against malware is to always stay alert and look out for common signs of being hacked. If avoiding risk is your top priority, make sure you restore your computer. Since once your device has been compromised, there is no going back. Malware has the potential to hide in places that usually remain unnoticed. All you can do then to save your computer from a data breach is to start from scratch.

Some of the most common malicious hackings have been seen to originate from either Trojan horse programs, Phishing emails, or Unpatched software programs. If you are not planning to depend on mere luck and the effectiveness of your antivirus, ensure that you and your team have enough tools, techniques, and training to prevent your business from those three common origins of hacking.

To protect your business from a data breach (causing not just loss of data, but financial as well as a reputational loss), Cyberware AI offers various cybersecurity services including, Vulnerability Assessment and Management, Cyber Security Awareness Training, Phishing Tests Program, Pentest Program, and more. These services aren’t particularly useful and affordable for just big enterprises but also small and medium sized businesses. Cyberware AI is also a U.S. Military Registered Vendor. We have battle-proven experience safeguarding U.S. government assets all over the world.

Technology is the mainstay of e-commerce. It connects sellers and customers on mobile and web platforms. It facilitates customer order, delivery, return, and payment management in a fuss-free manner. Overall, technology plays a vital role throughout the e-commerce value chain in marketing, advertising, and other areas. Technology in eCommerce enables increased search, customization, and personalization. Nowadays, advanced technologies are making things easy for eCommerce players and reaching critical levels of prominence in the e-commerce value chain. As per e-commerce development reports from eMarketer research company, global e-commerce sales reached 4.1 trillion and 4.5 trillion U.S. dollars in 2020 and 2021, respectively. The same trend is likely to continue with expected growth of $5 trillion in 2022. Find information on the five emerging technologies that will influence e-commerce the most.

Technology in eCommerce
The retail sector has witnessed tremendous changes in the last decade. The e-commerce potential is undeniable. It helps many businesses and boosts economies at the global level. The vital advent of advanced technologies has bolstered e-commerce companies digitally. Digital commerce growth is an indispensable part of modern lives. With more and more people embracing digital technologies, eCommerce companies rely on innovative technologies to catch their customers and create distinguished experiences online.

This blog highlights how emerging technologies promote e-commerce business growth vehemently. Look at a few new technologies used in eCommerce that are likely to accelerate the growth and connect more people with higher consumer interest.

Artificial Intelligence & E-commerce
AI is a buzzword of the 21st century. In e-commerce, it has a substantial role as it offers valuable marketing insights into customer preferences. It directs them to create better marketing programs for businesses.

The e-commerce technology renders an automated platform to boost eCommerce performance. Leading e-commerce players utilize AI to develop different unique business aspects.

Cloud technology in eCommerce
Cloud technology needs no introduction. Like other industries, eCommerce industries also utilize cloud technology to make business decisions and serve their targeted audience. Cloud data processing and management enables both eCommerce players and consumers to get fast and secure access to valuable data.

When it comes to knowing how cloud technology can boost eCommerce, a cloud ERP emerges as a unique tool to increase product delivery speeds, add flexibility to operations, and successfully grow businesses.

Technology to Send Customer Recommendations
Artificial intelligence (AI) smartly predicts customer behavior patterns. That is why eCommerce players find AI as a unique tool to guide consumers in the right direction and recommend the correct information on various products, products, and more. The technology’s algorithms can efficiently forecast valuable information with the help of customers’ search history. In addition, 3rd party data also render valuable data and information on consumer behavior.

Modern technology also helps eCommerce companies understand customers’ requirements and offer unique information for selling products and services.

Chatbots for eCommerce
Chatbots are another useful modern technology that can bring immense changes to the ways eCommerce companies serve their audience. Chatbots are famous for their high customer satisfaction rate and wide-scale availability. They work like a virtual call center agent or a client communication executive. These days, every e-commerce app and website comes with inbuilt chatbots.

According to eCommerce chatbot statistics, about 70% of e-commerce merchants will like to incorporate a chatbot into their website by 2023. It will help them interact with their audience and answer all the queries. A chatbot can make a big difference when you don’t have sufficient staff to entertain customers with the correct information over the phone. So, give better space to chatbots on your e-commerce website and get optimal quality solutions.

Personalized User Experience with Technology
About 74% of businesses admit that user experience (UX) is vital for increasing sales and conversions. About 59% of customers say emerging technologies have impacted their shopping decisions and supported customers’ personal preferences. When we talk about the role of technology in fostering e-commerce business growth, it means the direct effect of advanced technologies on consumers’ buying behavior.

From big data to machine learning (ML) to AI, all trending technologies offer analytics and intuition into customer behavior. The technology can drive better advertising campaigns, automate communication, increase engagement rates, and offer support and services.

Conclusion
The role of technology in the eCommerce industry is seamless and inevitable. The eCommerce industry will keep on thriving with technological transformations because the amalgamation of technology and innovation impacts the whole eCommerce industry.

For the success of e-commerce in the competitive digital world, it is vital to adopt the mentioned-above technologies and trends. Top software development companies leverage advanced technologies and tools to sort your complex problem out and run a successful e-commerce business when it comes to better eCommerce solutions.

Both Proof-of-Stake (PoS) and Proof-of-Work (PoW) are consensus mechanisms. Although they operate in different ways, both ensure that the users are honest and maintain transparency. They are programmed to incentivize good users, and similarly, they can make it extremely painful and expensive for the bad ones. They help in keeping a check on frauds such as double-spending.

A general idea of ‘mining’ helps understand the difference between the two consensus mechanisms. In the case of a Proof-of-Work (PoW) mechanism, crypto transactions are verified through ‘mining.’ In Proof-of-Stake (PoS), ‘validators’ are selected through specific rules and depending on the ‘stake’ they own in the blockchain.

Cryptocurrencies are programmed to be decentralized and distributed. A worldwide network of computers can see and verify the transactions on a blockchain. Computers on the network must agree on what happened before verifying the transactions. The immutable nature of Blockchain prevents any computer(s) from committing fraudulent activities of some kind since it will be caught instantly.

Proof-of-work (PoW)

Proof-of-work (PoW) consensus mechanism is a competition among miners to solve cryptographic puzzles and validate the transactions on the blockchain. In doing so, they earn block rewards from the blockchain in the form of its native crypto. For instance, Bitcoin is a PoW blockchain where miners earn $BTC as a reward for their services. It is the older one among the two and powers blockchains like Bitcoin ($BTC), Ethereum ($ETH), etc. Ethereum is already in a state of transition from PoW to a PoS consensus mechanism, and the process will be complete by August 2022.

The PoW mechanism has powerful advantages that simple yet valuable blockchains like Bitcoin could utilize. As the value of a cryptocurrency grows, more miners are incentivized to join the network. These miners provide better security and power for the blockchain. However, the enormous processing power required in PoS mechanisms makes it impractical for an individual or a group to use it in an extensive blockchain network.

Moreover, it is an energy-intensive process that is detrimental to scaling to accommodate the vast number of transactions taking place on the blockchain.

Proof-of-Stake (PoS)

In the case of Proof-of-Stake (PoS), random validators are selected to ensure that the transactions on the blockchain are reliable and safe. These validators lock up a specific portion of their crypto to become a validator. Their stake in the blockchain compels them to be careful watchdogs of the network. Newer blockchains like Cardano ($ADA) and Tezos ($XTZ) use PoS consensus mechanisms.

Ethereum developers understood quite early that PoW would present challenges regarding scalability later when the number of transactions increases. Unlike Bitcoin, Ethereum processes multiple Decentralized Finance (DeFi) transactions, NFT minting, crypto transactions, etc. With the increase in traffic, transaction costs or gas fees on Ethereum have spiked notably.

Their only solution was to transition to a PoS mechanism from PoW. The transition is scheduled to complete by August 2022. Cryptocurrencies including Tezos, Atmos, and Cardano all use PoS consensus mechanisms. Their common objective is to maximize speed and efficiency while lowering fees.

Major Differences

Energy consumption is one of the fundamental differences between the PoW and the PoS consensus mechanisms. PoS blockchains do not require spending on extensive electronic hardware that generates intense heat and leave a massive carbon footprint.

Both the consensus mechanisms have economic consequences in the form of penalties if the miners or the validators do not do their job correctly. In PoW, if a miner submits invalid information, their penalty will be the sunk cost of energy, time, and computing power.

In the case of PoS, the staked crypto funds of a validator serve as an incentive to act in the network’s best interests. If a validator submits a bad block, the network operators can choose to ‘slash’ a portion of their crypto as a penalty. The network can predetermine the specific amount that can be slashed in case of a mistake.

Ninety percent of companies that took part in the 2021 Microsoft IoT Signals survey have already adopted the Internet of Things solutions to reduce operating costs, unlock additional revenue streams, and gain a competitive edge.

Yet, 35% of IoT projects stall at the proof-of-concept (POC) stage, while 75% of all IoT initiatives never materialize into market-ready products.
Companies that struggle with IoT product development typically cite high scalability costs, technical challenges, and vague ROI perspectives as the key reasons for IoT project failure.

As a startup looking to create an IoT solution, you could avoid most of these challenges by carefully planning your IoT pilot in advance.

Here’s where our guide to IoT solution development comes in useful.

Understanding IoT Product Development
To help you build an IoT device and the accompanying software ecosystem in a risk-free way, we’re starting an article series that dives into the Internet of Things technologies and IoT product development best practices.
This time, we’ll focus on the Internet of Things definition, architecture, and stages your connected product goes through before hitting the shelves.

What Is an IoT Product Exactly?
The Internet of Things (IoT) is a network of physical objects connected to the Internet and/or each other over a wired or wireless network.

The “things” term may apply to both electronic devices, such as fitness trackers, and non-electronic objects enhanced with sensors and lightweight control gadgets (think smart curtains operated via a relay and mobile app).

There are two types of IoT solutions you could create:

Sensing devices, which measure information on the surrounding environment and convert it into digital signals
Actuating devices, which receive digital signals from the network and act upon them
These devices can talk to the nodes within an IoT ecosystem (i.e., peer-to-peer communication), connect to the network via a gateway, or establish gateway-less connections.

What Does an IoT Solution Architecture Look Like?
To create an IoT device or non-electronic gadget scavenging and acting on environmental data, it is essential to understand how connected solutions function under the hood.

The Internet of Things architecture comprises four levels:

Application layer. This layer features embedded software — i.e., firmware or proper operating systems — that runs on sensing and actuating devices. It may also include mobile, web, and desktop applications helping users interpret sensor data and manage gadgets. So if you’re looking to create an IoT app, we’ve got bad news for you: applications are just the tip of the IoT iceberg.
Service and application support layer. Essentially, this is the IoT infrastructure layer where data aggregation, storage, and processing operations take place. To save costs and ensure uninterrupted device/service performance, IoT startups often choose to set up this infrastructure in the cloud (as opposed to on-premises servers).
Network layer. On the network level, IoT engineers can implement cellular, Wi-Fi, and wired connectivity technologies to interface the components of an IoT ecosystem — i.e., “things,” back-end infrastructure, and user applications.
Device layer. We could segment the functionality enabled by the device layer into:
Gateway capabilities. IoT gateways support devices connected through wired and wireless technology, such as Bluetooth, Zigbee, Z-Wave, and LPWANs and perform protocol conversions, enabling devices with different connectivity tech stacks to communicate.
Regular device capabilities. IoT nodes typically collect and share data. But they can also construct networks on the fly to accommodate new nodes or replace an existing malfunctioning device. Also, some IoT devices can display limited data processing functionality (i.e., edge IoT deployments) and switch between sleep and awake modes to save energy.
The Internet of Things architecture also incorporates device management and security components.

The former helps resolve traffic congestion issues, monitor IoT product performance, roll out software updates, and track device activation and deactivation.

The latter ensures privacy protection and data confidentiality and supports application-specific requirements, like facilitating secure mobile payments.

Commonly, this functionality is baked into popular IoT platforms, such as Google Cloud IoT, AWS IoT Core, and ThingWorx.

What Stages Does the IoT Product Development Lifecycle Span?
Prominent IoT infrastructure vendors like Microsoft and Google distinguish four stages of the IoT development process:

Learn
Trial/proof of concept
Purchase
Use
Here at Expanice, we prefer a slightly different classification, which, in our humble opinion, better aligns with the IoT product development stages startups go through:

IoT product idea validation
IoT product discovery
Minimum viable product (MVP) development
Market launch and MVP scaling
Let’s inspect the activities undertaken during these phases of the IoT product development lifecycle.

IoT Product Idea Validation
By 2025, the Internet of Things could become a $11.1 trillion market with a whopping 41 billion connected devices deployed globally.

To develop a product with strong commercial appeal, your startup should start your IoT product development journey with thorough market research. Its elements include:

Assessing the demand for your IoT solution. Besides studying research papers issued by technology consulting companies like Gartner and Accenture, your startup could conduct in-depth interviews with experts and potential customers from your target domain — e.g., healthcare, wellness, manufacturing, retail, etc. Next, ‌analyze the macro- and micro-environmental factors affecting your business using marketing frameworks like TEMPLES, VRIO, and Porter’s Five Forces. You should pay special attention to the data privacy and security laws governing IoT adoption in your target geographic locations, as well as industry-specific regulations for IoT devices, such as HIPAA, HL7, and NIST.
Getting to know your competition. Being part of the macro-environmental audit, competitive analysis allows you to determine the optimum feature set, pricing, and marketing strategy for your IoT product. Your goal here is to identify an unoccupied niche and offer something — i.e., a piece of functionality, competitive price, superior quality, or five-star customer service — that your competitors are missing.
Choosing a suitable IoT business model. Drawing on the insights obtained from the market and competitor research, your company should choose an appropriate business model to monetize your IoT product. Some popular options here include one-time purchases, subscriptions, and the monetization of accompanying services and products, such as sensor data analysis. To better align your service offering with your company’s mission, resources, and marketing mix, you could use the Business Model Canvas template by Alexander Osterwalder.
Estimating the efforts required to build an IoT device. In this step, you need to summarize the findings of your market research using the SWOT analysis and determine what resources and capabilities you are lacking to create an IoT device and the applications supporting its logic. Based on your company’s primary focus (hardware, embedded, web, or mobile), you’ll figure out which parts of IoT product development need to be outsourced.
IoT Product Discovery

In the IoT product development lifecycle, the discovery phase helps verify your IoT product idea against your business needs, evaluate your project scope, and create a preliminary technical vision for your custom IoT solution.

To reach these objectives, enlist the help of a skilled business analyst. The IT specialist will collaborate with your company’s internal and external stakeholders and determine what the IoT solution should do and how it is supposed to function.

These characteristics are known as functional and nonfunctional requirements for IoT product development.

Following the discovery phase, you’ll get definite answers to such questions as:

What tasks and processes would your IoT system enhance or automate?
What type of data capturing devices are you going to use?
Which connectivity technologies will your IoT product rely on?
Where will sensor data be stored and analyzed — and how is it going to be presented to end users?
How will your custom IoT solution interface with third-party devices and services?
What is the approximate size of the user base you’re targeting?
Based on this information, you’ll be able to select a suitable technology stack for your project, lay a foundation for an IoT architecture that would flexibly scale along with your product, and get a realistic IoT cost estimate.

IoT Prototyping

The goal of the prototyping phase of the IoT product development lifecycle is to create a proof-of-concept version of your connected device, identify technology roadblocks, and test the prototype with real users to further refine its functional and nonfunctional requirements.

One of our customers, for instance, wanted to create a smart home security system based on motion sensors. These sensors were supposed to track movement both inside and outside residential buildings. During the discovery phase, our IoT product development team discovered that the ratio between the measured data properties prevented the software from timely notifying users of suspicious activities. As a result, we replaced the sensors with Wi-Fi-enabled video cameras.
To build an IoT device prototype, you (or the vendor of your choice!) could leverage off-the-shelf single-board computers and microcontrollers like Arduino Uno and Raspberry Pi.

Such IoT development boards come with a variety of features, including USB support, SIM card slots, multiple digital inputs and outputs, robust connectivity options (BLE, Wi-Fi, cellular), and decent processing capabilities. Additionally, they are compatible with different open-source hardware components and development kits and could be connected to popular cloud IoT platforms — for instance, AWS IoT.

The choice of ready-made IoT prototyping tools is based on initial hardware requirements, such as connectivity, power consumption, RAM and flash memory, system architecture, and the availability of SDKs.

The benefits of prototyping in IoT are mostly cost-related. For example, you could create a working version of your connected solution at a small fraction of what it would cost you to design a custom device. Also, you can start developing firmware, back-end infrastructure, and mobile apps faster — and rule out technology limitations early on.

IoT MVP Development
As we mentioned earlier, the Internet of Things term does not always refer to electronic devices. If you’re working on an asset tracking solution based on BLE beacons, you don’t have to design custom hardware and could focus solely on creating a supporting software infrastructure.

Otherwise, your IoT minimum viable product development project would span three stages:

Hardware design (plus certification)
Infrastructure setup
Application development
Custom IoT Hardware Development

How to create an IoT device? Well, pretty much like the other IoT product development activities, the custom hardware design process involves several steps:

Analysis. From concept development to technical requirements specification, the analysis phase largely builds on the insights you’ve gleaned from IoT product discovery.
Modeling. You collaborate with hardware engineers and industrial designers to devise printed circuit board (PCB) layout schemes and visualize the gadget’s case in 3D CAD.
Prototyping. Do not confuse the IoT prototyping activities we mentioned in the discovery section with custom device prototyping. This time, you won’t be using BeagleBoard, Raspberry Pi, and other off-the-shelf IoT development boards. Instead, you need to contact a hardware manufacturing company and produce up to ten PCBs based on the layout schemes created in the previous step. Your hardware vendor will run extensive tests to validate the PCBs meet your performance requirements, debug them if necessary, and update the technical documentation.
Testing. At this stage of the IoT product development lifecycle, engineers will transform successful prototypes into pre-production models while using different materials for the device case. Next, you’ll need to conduct electrical safety, pre-certification, and user tests. Do not be surprised if critical errors surface in the process. This is not at all uncommon, and your custom IoT device could spend anything between six months and two years before you achieve your performance and safety goals.
Certification. When doing market research, you have learned about the Internet of Things regulations effective in your target markets. Depending on your gadget’s scope of application, you might need to procure various certificates before selling the IoT solution to end users. These may include the Restriction of Hazardous Substances (ROHS) and Energy Star compliance, the Electrotechnical Commission (EC) and Underwriters Laboratories (UL) certifications, Bluetooth Sig Qualification clearance, as well as industry- and product specific test certificates for gadgets that collect user data or come in direct contact with the skin.
IoT Infrastructure Development and Setup

The infrastructure layer of an IoT system includes several components:

Embedded software. Firmware, middleware, device drivers, and full-fledged operating systems interface the hardware components of your custom IoT device, allow it to perform its intended sensing and actuating operations, and help integrate the gadget with other devices and components of an IoT infrastructure. Typically, the hardware vendor you’re working with can handle the embedded part, too, although you might need to hire a separate team for that.
Connectivity. Again, it’s your embedded team who tackles the networking part. To send sensor data to a gateway or directly to the cloud, your gadget will rely on short-range or long-range wireless connectivity technologies. When selecting a connectivity tech stack, you should consider networking costs beforehand. For instance, if you opt for cellular technologies, you might end up spending $0.04 per every megabyte of data your gadget sends over the network.
Cloud infrastructure. Based on the requirements identified during the discovery phase of the IoT product development lifecycle, you’ll need to select a cloud platform supporting your gadget’s business logic. Here’s where sensor data will be aggregated, stored, analyzed, and visualized using dynamic dashboards. Cloud service providers like Google, Amazon, and Microsoft typically charge per the amount of server calls your gadget makes — or the number of devices within an IoT ecosystem. But the cloud providers’ fees are not the only issue to consider here. When designing a blueprint architecture of your IoT solution, you should make the necessary provisions regarding your user base, the amount of data traversing the network, and the overall complexity of your system. For example, if you’re planning to deploy a machine learning model to interpret sensor data at some point in the future, you should be able to do so without a complete infrastructure overhaul. The same goes for device management, over-the-air (OTA) software updates, and ongoing performance optimization through DevOps.
Supporting infrastructure. Setting up a data warehouse or data lake solution in the cloud and configuring some analytics capabilities is only half the job. Complex IoT solutions like remote patient monitoring (RPM) or end-to-end home automation systems require a dedicated customer support department — and a plethora of related software tools like mobile, web, and desktop apps enabling end users and admins to operate connected devices.
The Internet of Things App Development

Being part of the IoT product infrastructure, user-facing applications help configure and manage connected devices — and visualize sensor data processed in the cloud.

Depending on your overall IoT product requirements and target audience, you might need to create:

Native or cross-platform mobile applications, which‌ act as a remote control for IoT products
Embedded human-machine interfaces (HMIs) that allow users to operate devices without a mobile or web app
Web-based or desktop applications that mirror the functionality of their mobile counterparts and allow IoT product admins to manage user accounts
Speaking of IoT MVP development, it normally takes three to six months to create a complete software ecosystem for an IoT device.

The good news is, software development activities can run in parallel with custom hardware design. And if you’re developing IoT devices on a shoestring budget in the hope of getting funded, you can skip the hardware design part altogether and make do with an off-the-shelf board for the time being.

For example, MedAngel, a healthcare technology startup from Germany, came up with an idea of a temperature tracking device for insulin. The company chose the WunderBar platform as their primary tech stack, placed the IoT board inside a keyring-like plastic case, and built simple mobile apps for sensor data interpretation. With an MVP on their hands, the MedAngel team got some media coverage, took part in several tech contests, and launched a successful Indiegogo campaign. The company then scaled the IoT product’s use cases across other temperature-sensitive medications and revamped the gadget design.
IoT Product Launch and Scaling
Congratulations! You’ve built your first connected device containing enough features to meet user expectations and differentiate your company from the competition. Now it’s time to get your IoT solution to the market, analyze initial user feedback, and tweak your product accordingly.

Technically, going to market is not part of the IoT product development lifecycle — and that’s why it often gets overlooked by IoT companies. Here’s what you can do to avoid getting stuck in the IoT startup limbo:

Assemble a beta user group to test your MVP and adjust your product — i.e., the applications and the gadget itself — to better meet user needs
Develop a marketing plan covering content production, participation in industry-specific and technology events, and partnerships with influencers
Gradually expand your product’s feature set by adding new functionality and use cases once you hit your initial revenue targets
Go the extra mile to provide superior customer experience: after all, acquiring new customers costs five times as much as keeping existing ones
Five Ways Your IoT Product Development Project Could Go Awry
Finally, we’d like to draw your attention to common challenges startups face when developing IoT devices:

Stumbling upon technology roadblocks late in the IoT product development process. Creating a luxurious gold bracelet with physical activity tracking capabilities might be a good idea, but what if the metal case would interfere with the Bluetooth signal, preventing the gadget from sending sensor data to a mobile app? A surefire way to avoid such scenarios is to kick your project off with a discovery phase and ensure extensive test coverage before sending the device to production.
Struggling with multi-vendor IoT project management. Few companies possess the required IoT product development expertise and personnel to build all components of an IoT system under one roof. As an IoT startup owner, you should elevate your project management knowledge and choose appropriate project tracking software to keep your distributed hardware and software development teams on the same page.
Incorporating too many features into an IoT product MVP. The results of your market research might indicate that users want a self-learning smart home system with biometric control options, but in reality, you most likely lack the skills and resources to create such a complex IoT device from the ground up (and within a single iteration). Here at Expanice, we recommend that our clients start their IoT product development journey by creating an MVP containing just enough features to ignite user interest and get investors on board.
Ignoring IoT scalability and hidden infrastructure costs. To choose the right development tech stack and design an IoT solution architecture that would grow along with your business, you should partner with a skilled business analyst during the product discovery phase, interview stakeholders both within and outside your company, and hire top-notch software architects, no matter the price.
Taking IoT security lightly. Despite the global IT community and government efforts, the Internet of Things remains a low-hanging fruit for cybercriminals. From hard-coding device passwords to using open-source software development tools containing documented vulnerabilities, there’s a million ways to overlook security loopholes in your IoT infrastructure — and let your customers down. That’s why “security by design” should be your IoT product development mantra from day one.