Arduino Cloud has grown tremendously over the past year, adding powerful features to make development smoother and IoT deployments more scalable. From real-time collaboration to interactive digital twins on a dashboard and AI-powered coding assistance, our platform has evolved to support everyone.

Now, if you tuned in to Arduino Days 2025 (watch the video), you may have heard that our Arduino Cloud plans are evolving! We’re simplifying and expanding our plans to make it even easier to find the right fit:

• Makers and individuals get access to all premium features under a single Maker Plan.
• Businesses and teams have a clearer path to growth with new professional and enterprise options.

Arduino Cloud plans: what’s changing?

• A clear path for businesses – Companies can now start small and scale up with Prototyping and Team Plans, designed to support professional IoT applications with multi-user collaboration, fleet management, and advanced data retention.

• A unified Maker Plan – Hobbyists and individual developers now have one simple Maker Plan, with everything they need for IoT projects.
• Free Plan remains available – Everyone can explore Arduino Cloud for free with support for up to 2 devices and essential features.

Choosing the right plan for you

For makers and individual developers

If you’re working on personal IoT projects, the Maker Plan gives you unlimited compilations, OTA updates, dashboard sharing, and AI-powered assistance – all in one plan.

For startups and professional users

If you’re building an IoT product or scaling a business, the Prototyping Deal lets you experiment with the full power of Arduino Cloud for 6 months at a special rate. When the period ends, you’ll seamlessly transition to the Team Plan to continue growing.

For teams and enterprises

The Team Plan provides RBAC (Role-Based Access Control), up to 50 users, and 100 devices – perfect for professional projects requiring security, white labeling, and efficient device management.

The evolution of Arduino Cloud

Over the past year, we’ve introduced some major improvements to Arduino Cloud:

• Customize dashboards directly from the IoT Remote app.
• Collaborate in real-time with team members.
• Compile code up to 50% faster for quicker development.
• Receive instant alerts when a device goes offline.
• Seamlessly integrate with AWS for extended capabilities.
• And most recently, engage in smart coding with the new AI Assistant – available on all paid plans to help you write and debug code faster.

^{Watch the latest Arduino Cloud for Business video}

Frequently asked questions

I’m on an Entry or Maker Plus Plan – do I need to switch?

Nope! You can continue using your plan. But if you’d like more features, you can upgrade at a discounted rate. 

I plan to use Arduino Cloud for my own business or professional application. Where do I start?

The Prototyping Deal gives you six months to experiment with all Team Plan features at a special rate. After that, you’ll automatically transition to a monthly Team Plan ($100/month) for seamless continuity.

What happens if I don’t want to continue after my six-month Prototyping Deal?

You can cancel anytime before the end of your period to avoid automatic renewal.

Can I still use Arduino Cloud for free?

Yes! The Free Plan lets you explore Arduino Cloud with limited usage, supporting up to two devices for getting started.

Ready to take your IoT projects to the next level? Try Arduino Cloud now!

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Advantech, a contributor in Internet of Things (IoT) intelligent systems and embedded platforms, has announced an artificial intelligence (AI) partnership with Nagarro, an international digital engineering consultancy. This collaboration aims

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WISeKey International Holding Ltd, a global cybersecurity, blockchain and Internet of Things (IoT) company, has announced that its subsidiary SEALCOIN AG, unveiled a Proof of Concept (PoC) that illustrates the

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Actions Technology, a global contributor in high-performance, low-power System-on-Chip solutions for Artificial Intelligence of Things (AIoT) devices, and MicroEJ, a pioneer in software solutions for embedded and Internet of Things

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NTT Corporation (NTT) has announced a new, large-scale integration (LSI) for the real-time artificial intelligence (AI) inference processing of ultra-high-definition video up to 4K-resolution and 30 frames per second (fps).

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Connected vehicles depend on secure, real-time data processing to make critical decisions that enable optimised EV charging, advanced driver assistance systems (ADAS), rich in-vehicle experience and compliance with safety regulations.

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Let’s explore how to get it right.

Why IPv6 Changes the Game for IoT

IPv6 offers a staggering number of unique addresses—340 undecillion, to be precise. That’s enough for every single object on the planet to have its own IP, with room to spare.

This eliminates the address exhaustion issue that’s plagued IPv4. But more importantly, it allows each device—every smart bulb, vending machine, parking sensor, and robot—to have a globally routable IP address. That means real-time management and peer-to-peer communication, without needing layers of NAT or workarounds.

But here’s the catch: giving every sensor a public-facing IP isn’t a magic solution. Without a strategy, your network could spiral into chaos.

Crafting an IPv6 Addressing Strategy for IoT

A good IPv6 plan does more than assign addresses. It structures your entire deployment—making it easier to troubleshoot, segment traffic, apply policies, and grow.

Here are five best practices for designing large-scale IPv6 schemes for IoT.

1. Think Hierarchically to Scale Gracefully

IPv6 is designed for hierarchical addressing, and in IoT, this is a lifesaver. It lets you group devices by location, function, or ownership, so you can easily scale your network without re-architecting it.

For example:

• Use the first 48 bits for your global routing prefix
• The next 16 bits for regional/site identifiers (like “Factory A” or “Warehouse B”)
• The final 64 bits for unique device IDs

It’s like giving every device an address that not only tells it who it is, but where it is and what it does.

2. SLAAC Is Handy—But Not a Silver Bullet

Stateless Address Autoconfiguration (SLAAC) is one of IPv6’s signature features. It lets devices auto-generate their addresses using a router-advertised prefix and their own MAC address.

Great, right?

Well, yes—until you’re trying to audit traffic and realize every address looks like a cryptic string of hex. In large deployments, unpredictability becomes a problem.

Pro tip: Consider combining SLAAC with DHCPv6 or prefix delegation to retain control, consistency, and traceability across your devices.

3. Plan for Efficient Routing, Not Just Addressing

When deploying IPv6 across a smart city, a sprawling industrial plant, or even a national transportation network, routing becomes just as important as addressing.

Your goal? Summarize routes as much as possible.

Give each region or subnet a block that allows routers to aggregate routes. This reduces complexity and improves performance. In many IoT environments, /64 is the default subnet, but you might assign /56 or /48 blocks to sites or divisions for cleaner segmentation.

4. Don’t Sacrifice Privacy or Security for Simplicity

Here’s a fun fact: IPv6 addresses generated via SLAAC can be used to track devices across networks, because they often include a device’s MAC address. That means someone could watch a device move from one network to another, just by watching its IP.

To protect privacy and security:

• Enable IPv6 privacy extensions (RFC 4941)
• Use stable but randomized interface IDs
• Deploy firewalls and access controls to restrict unsolicited inbound traffic

And remember: just because a device has a public address doesn’t mean it should be publicly accessible.

5. Document Your Address Plan Like You’d Document Your Code

You wouldn’t roll out a massive software deployment without documenting it. Your IPv6 address scheme deserves the same love.

In large IoT deployments, documenting which blocks are assigned to which functions, teams, or sites can save hours—if not days—of debugging, auditing, or migration work down the road.

Keep it versioned. Keep it current. And keep it accessible to everyone who needs to understand how your devices are organized.

The Payoff: Order at Scale

Deploying IPv6 in IoT isn’t just about turning on the protocol. It’s about designing a system that works beautifully at scale—where devices can connect, communicate, and be managed with precision.

Done right, IPv6 becomes the foundation for smart buildings, intelligent transportation, and fully automated factories. But without a plan, it can turn into a maze of untrackable devices and network headaches.

Whether you’re managing 10,000 sensors or just preparing to scale, your addressing scheme is your map. Make it smart, structured, and secure.

Got questions, stories, or scars from IPv6 rollouts? Drop them in the comments—we’re all learning together.

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A smart building in Amsterdam has lights that dim when the sun sets, thermostats that adjust to each room’s preferences, and security cameras that send alerts straight to the property manager’s phone. All these devices are connected—talking, learning, and responding. Behind this seamless orchestration? IPv6.

But what if the very protocol enabling this smart life became a gateway for hackers?

As IPv6 adoption in the Internet of Things (IoT) accelerates, security becomes not just a feature—but a lifeline.

Why IPv6 Matters for IoT

The Internet Protocol version 6 (IPv6) isn’t just the next version of the internet’s addressing system. It’s a game changer for IoT. With its 128-bit address space, IPv6 offers 340 undecillion (that’s 36 zeros!) unique addresses. This abundance allows each device—from a smart fridge in Berlin to an irrigation sensor in rural Kenya—to have its own globally routable IP address.

This is a dream for network engineers… and a potential nightmare for cybersecurity.

Unlike IPv4 devices, which often sit behind firewalls and NATs (Network Address Translation), IPv6 devices are often directly addressable—meaning they’re also directly attackable if not properly secured.

The Risks Are Real

In 2023, researchers at the University of Twente conducted a large-scale study of IPv6 IoT deployments. What they found was concerning:

• Only 39% of devices implemented basic access control.
• A mere 6.2% supported TLS encryption—a fundamental layer of secure communication.
• Many were completely exposed with default credentials or no authentication at all.

In a world where your toaster might become part of a botnet (remember Mirai?), it’s clear we need to raise the bar.

Best Practices to Secure IPv6 in IoT

Let’s walk through how developers, architects, and IT leaders can build more secure IoT networks with IPv6.

1. Use IPsec… But Wisely

One of IPv6’s built-in superpowers is mandatory support for IPsec—enabling encrypted and authenticated traffic. But support doesn’t mean automatic use.

Tip: Use IPsec in gateway devices to secure traffic across public networks, especially when connecting sensors in remote or untrusted environments.

2. Apply the Principle of Least Privilege

Each device should only have the permissions necessary to perform its function. A smart thermostat shouldn’t have the same access as your building’s access control system.

Real-world lesson: In 2021, a vulnerability in a connected HVAC system allowed attackers to infiltrate the backend of a North American casino. The breach started from a seemingly harmless sensor in a fish tank.

3. Avoid Direct Internet Exposure

Even with IPv6, don’t expose IoT devices to the open internet unless absolutely necessary.

Best practice: Use firewalls, VPNs, and segmented networks. Just because a device can be globally addressable doesn’t mean it should be.

4. Embrace Secure Boot and Firmware Updates

Many attacks exploit outdated firmware. Ensure your devices support:

• Secure boot to prevent tampering
• Signed OTA (Over-the-Air) updates to patch vulnerabilities regularly

5. Monitor, Monitor, Monitor

Security isn’t a one-and-done checklist. Use network monitoring tools to detect anomalies—like unexpected outbound traffic or connection attempts from strange IP ranges.

Cloud platforms like AWS IoT Defender or Azure IoT Hub can provide real-time threat detection.

A More Secure, More Connected World

IPv6 is the foundation upon which our connected future will be built. But without security, that foundation is brittle.

The next time you pass by a smart parking meter, use a contactless payment terminal, or enter a building with facial recognition at the door—remember: these conveniences rely on invisible networks. And it’s up to us, the architects of tomorrow’s digital world, to keep them safe.

What’s next?

In upcoming articles, we’ll dive deeper into secure addressing strategies, how to transition legacy systems safely, and lessons from real-world IPv6 migrations.

Do you have an IPv6 IoT deployment story—good, bad, or somewhere in between? Let us know in the comments or reach out directly.

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In today’s digital landscape, data has become the lifeblood of businesses across all industries. However, with the increasing collection and utilization of personal information comes greater responsibility and scrutiny. As we navigate through 2025, the rules of the game continue to evolve, presenting both challenges and opportunities for organizations worldwide.

The Growing Importance of Data Privacy in 2025

Remember when privacy policies were just fine print that nobody read? Those days are long gone. Today’s consumers are increasingly aware of their privacy rights and are demanding greater transparency and protection from the companies they do business with.

The regulatory landscape has transformed dramatically over the past few years. What began with the European Union’s General Data Protection Regulation (GDPR) in 2018 has evolved into a complex web of global and regional privacy regulations. The California Consumer Privacy Act (CCPA), Brazil’s Lei Geral de Proteção de Dados (LGPD), and numerous other laws have created a patchwork of compliance requirements that businesses must navigate.

As regulations continue to tighten, data governance services have emerged as essential partners for businesses striving to maintain compliance while maximizing the value of their data assets. These specialized services help organizations implement frameworks, policies, and procedures that ensure data is handled properly throughout its lifecycle.

Key Data Privacy Challenges and How Data Governance Addresses Them

1. Increasing Regulatory Pressure

The global impact of data protection laws cannot be overstated. The GDPR set a new standard for privacy regulations, with its comprehensive approach to data protection and significant penalties for non-compliance. The CCPA followed suit, giving California residents unprecedented control over their personal information. Meanwhile, other jurisdictions have introduced their own regulations, creating a complex compliance landscape for businesses operating across borders.

For multinational companies, this regulatory fragmentation presents a significant challenge. Each law has its own specific requirements regarding consent, data subject rights, breach notifications, and more. Navigating these differences requires sophisticated compliance strategies and continuous monitoring of regulatory developments.

This is where data governance standards come into play. By providing structured frameworks for managing data privacy, these standards help businesses establish consistent practices that can be adapted to meet various regulatory requirements. They offer a systematic approach to data management that encompasses everything from data collection and storage to processing and deletion.

2. Managing Data Across Multiple Platforms

Today’s businesses typically store and process data across numerous platforms – cloud services, on-premise systems, mobile applications, and third-party vendors. This distributed data environment makes it increasingly difficult to maintain a comprehensive view of where sensitive information resides and how it flows through the organization.

Effective data governance requires organizations to maintain visibility and control over their data regardless of where it resides. This includes implementing robust data mapping exercises, establishing clear policies for data sharing with third parties, and ensuring consistent privacy controls across all platforms.

3. Protecting Sensitive Data and Preventing Breaches

As cyber threats continue to evolve in sophistication, data breaches have become more frequent and more devastating. A single breach can expose sensitive customer information, damage reputation, and result in significant financial penalties under privacy regulations.

Preventive measures are essential, but equally important is the ability to detect and respond to incidents quickly when they occur. Privacy regulations typically include requirements for breach notification, with some laws mandating disclosure within as little as 72 hours of discovery.

A well-designed data governance framework helps organizations identify and classify sensitive data, implement appropriate security controls, monitor for unauthorized access, and establish incident response procedures that meet regulatory requirements.

4. Maintaining Customer Trust and Transparency

Beyond regulatory compliance, businesses must consider the impact of their privacy practices on customer relationships. Research consistently shows that consumers are more likely to trust companies that handle their data responsibly and provide transparency about data collection and use.

Privacy notices are evolving from dense legal documents to more user-friendly communications that clearly explain what data is collected, how it’s used, and what choices consumers have. Some companies are going even further by implementing privacy-enhancing technologies that minimize data collection or allow consumers to interact with services anonymously.

5. Scalability and Adaptability in a Rapidly Changing Environment

Perhaps the greatest challenge for businesses is the need to adapt their privacy practices to keep pace with technological innovation and regulatory change. Emerging technologies like artificial intelligence, Internet of Things devices, and blockchain present new privacy challenges that weren’t contemplated when many privacy laws were drafted.

Organizations need privacy frameworks that can evolve as technology and regulations change. This requires ongoing assessment of privacy risks, regular updates to policies and procedures, and continuous employee training to ensure awareness of best practices.

The Benefits of Data Governance for Businesses

While compliance with privacy regulations is often viewed as a cost center, there are numerous benefits of data governance that extend far beyond avoiding penalties.

First, good governance improves data quality by establishing standards for data collection, storage, and maintenance. High-quality data leads to better business intelligence and more effective decision-making. When employees trust the data they’re working with, they can focus on analysis rather than questioning whether the information is accurate or complete.

Second, strong governance reduces operational risks by ensuring that sensitive information is properly protected. This includes not only customer data but also intellectual property, financial records, and other confidential business information. By implementing appropriate controls, businesses can prevent unauthorized access and reduce the likelihood of costly data breaches.

Third, effective governance streamlines operations by eliminating redundant data collection and storage. When data is well-organized and accessible to authorized users, employees spend less time searching for information and more time putting it to productive use. This improved efficiency can lead to significant cost savings and enhanced productivity.

Fourth, good governance builds customer trust by demonstrating a commitment to responsible data practices. In an era where consumers are increasingly concerned about how their information is used, businesses that prioritize privacy can differentiate themselves from competitors and build stronger customer relationships.

Finally, proper governance enables innovation by providing a secure foundation for new data-driven initiatives. When privacy considerations are integrated into product development from the outset, businesses can move quickly to bring new offerings to market without fear of regulatory obstacles or consumer backlash.

Steps for Businesses to Stay Compliant and Future-Proof Their Data Privacy Practices

So how can businesses navigate this complex landscape and build privacy programs that withstand the test of time? Here are some essential steps:

1. Conduct a comprehensive data inventory and mapping exercise. Begin by identifying what personal data your organization collects, where it’s stored, how it’s used, who it’s shared with, and how long it’s retained. This mapping exercise forms the foundation of an effective privacy program and helps identify potential compliance gaps.
2. Implement a risk-based approach to privacy. Not all data presents the same level of risk. By categorizing data based on sensitivity and implementing controls proportionate to the risk, businesses can allocate resources more effectively and focus protection where it matters most.
3. Embed privacy into your organizational culture. Privacy should not be relegated to the legal department or treated as a compliance checkbox. Instead, make privacy a core value that informs decision-making throughout the organization. This includes regular training for all employees who handle personal data.
4. Establish clear governance structures and accountability. Designate responsibility for privacy compliance within your organization. Depending on the size and nature of your business, this might involve appointing a dedicated Data Protection Officer, creating a privacy committee, or assigning specific responsibilities to existing roles.
5. Regularly review and update your privacy program. Privacy is not a one-time project but an ongoing commitment. Schedule regular assessments of your privacy practices, update policies and procedures as needed, and stay informed about regulatory developments that may affect your business.

Looking Ahead: The Future of Data Privacy

As we look toward the future, several trends are likely to shape the evolution of data privacy:

First, we can expect continued regulatory convergence as more jurisdictions adopt comprehensive privacy laws modeled after the GDPR. While regional differences will persist, common principles around transparency, consent, and data subject rights are becoming global standards.

Second, privacy-enhancing technologies will become more prevalent as businesses seek technical solutions to privacy challenges. Techniques such as differential privacy, federated learning, and homomorphic encryption allow organizations to derive value from data while minimizing privacy risks.

Third, consumers will continue to demand greater control over their personal information. Businesses that embrace this trend by offering intuitive privacy controls and transparent data practices will build stronger customer relationships and gain a competitive advantage.

Finally, artificial intelligence will play a dual role in the privacy landscape – creating new challenges through its appetite for data while also offering new solutions for privacy compliance through automated monitoring and risk assessment.

Conclusion

The evolution of data privacy presents both challenges and opportunities for businesses in 2025 and beyond. While compliance requirements continue to increase in complexity, organizations that embrace robust data governance frameworks can turn privacy into a strategic advantage.

By implementing comprehensive privacy programs, businesses can not only avoid regulatory penalties but also improve operational efficiency, build customer trust, and create a solid foundation for data-driven innovation. Those that view privacy as an investment rather than a cost will be best positioned to thrive in the data-driven economy of the future.

Remember, in today’s digital landscape, data privacy is not just about compliance – it’s about building sustainable business practices that respect individual rights while unlocking the full potential of your data assets. The organizations that recognize this fundamental truth will be the ones that succeed in the long run.

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