This document discusses how the emergence of IoT and AI impacts cloud computing vulnerability. It explains that while these technologies can improve user experience and business operations, they also create new security risks if not implemented properly. Specifically, the interconnected devices and sensors from IoT expand the attack surface, while AI and cloud computing aim to detect threats but have their own weaknesses. The author argues these technologies must be developed with strict data access protocols and focus on eliminating known vulnerabilities.

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Revealing the Potential and Risks
From the Coming Together of IoT,
AI, and Cloud Computing
With the advancements of technology, security is at risk. In this article, we
discuss how the emergence of IoT and AI impacts cloud computing
vulnerability.
by Juned Ghanchi · Mar. 16, 21 · AI Zone · Opinion
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Introduction
The innovative technologies are increasingly shaping the user experience, business
conversion, branding, and competitive presence for your digital apps and solutions.
But these technologies are equally being handled by hackers and attackers to breach
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2. But, these technologies are equally being handled by hackers and attackers to breach
data and networks, steal identity, and destroy your digital presence with clever and
stealthy cybersecurity attacks.
The cybersecurity risks are particularly getting bigger with the emergence of
connected devices, shaping a completely new ecosystem of devices and sensors.
Artificial intelligence (AI) is also quickly becoming a decisive factor to detect security
threats. Cloud platforms, on the other hand, help both IoT and AI to come together to
deliver a superior cloud-based experience.
When the question of data security comes at the forefront, all three technologies,
respectively AI, IoT, and cloud, are offering a new connected reality where one data
security threat can be dealt with from within. On the other hand, these three
technologies on their own have weaknesses that are also exposed to several security
risks. If you have ever given it a thought to hiring remote developers just because of
their expertise and experience, you have thought in the right direction. But besides
remote hiring of experts, you also should have in-depth knowledge about cloud
security.
Let's understand how IoT and AI technologies flanked by cloud support can be a
game-changer for security.
Vulnerabilities and Risks Created by IoT and the Cloud
Many researchers are of opinion that IT security remains a key gap area in the
security strategy of many enterprises across diverse sizes and niches. Many IoT
users are also of opinion that IoT exposed to many users through a large number of
devices remains really vulnerable to security attacks.
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3. The typical ownership model of IoT devices creates several gross security risks and
presents a potential risk. The absence of a consensus among the most successful
leaders contributed tremendously to the increasing security threats emanating right
from mobile apps.
Apart from establishing a secure network by following the best practices for
enterprise mobile security that matters a lot, a company with its long-term planning
for data and network security with the help of cutting-edge technology can really
turn on the welcome mood among small businesses looking for something stable
and reliable for their business.
AI & IoT: New Architecture in the Making
Many people looking towards the far-fetched security aspects are actually hoping
that artificial intelligence (AI) and the Internet of Things (IoT) technologies are very
likely to transform business operation and the underlying user experience. In this
respect, it is really important that AI-powered IoT needs to be implemented with
stricter data access protocol and there should be zero tolerance for any known
security vulnerability.
There are several organizations and business entities that consider the integration of
AI with the cloud is very crucial to ensure robust security checks and computing
power. The cloud-connected sensors and smartphones outside or inside cannot be
vulnerable to security threats thanks to closer collaboration and preemptive
measures to prevent security threats.
Several AI and machine learning apps have the capability to transform all industries
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4. through proactive security measures based upon dynamic scalability and quicker
responses. In this respect, the coming together of the cloud, AI, and machine learning
technologies can really transform security measures as more responsive.
There are too many AI apps that look up to the computational muscle for building
algorithms and managing device data. This is where edge computing can play a
major role. Just at moments when the instant response is to be maintained, edge
computing architecture can really play a great role. Thanks to edge computing, the
availability of great computational power can make apps more responsive than ever
before.
Learning the Security Challenges of IoT Architecture
Security with a fragile ecosystem of connected devices has always been a major
concern. IoT just reveals too many inconsistencies for the security measures to be
available at the very end of the network. Both IoT and cloud together are still
powerful to provide safeguards against security risks.
Mitigating these security risks comes as a big challenge and today's IoT architecture
powered by robust cloud platforms can finally hope to mitigate these risks. The only
silver line of hope is that in spite of not affecting the latency, IoT in many parts of the
world is being regarded as the breakthrough source for constant data security.
Another major loophole that many companies simply struggle to avoid is
redundancy. Companies should ensure designing the architecture to avoid
redundancy and quicker recovery in case of any disaster with the system. The
system's capability to recover from a messy state remains at the very center of
d namic securit
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5. dynamic security.
From the above discussion on cloud computing, AI, and IoT it is clear that the
complex maze of these technologies can only bear the fruit of IT security when the
architecture is planned meticulously while keeping an eye on other considerations.
Maintaining zero latency is a crucial requirement for reshaping the security with
these technologies. With business-specific cloud architecture, an organization can
actually strengthen security at all levels including design idea, prototype, production,
operation, and maintenance.
Conclusion
In the end, building new hardware and software comes as a crucial consideration.
Just because AI is switching to the edge, device brands coming with AI-compatible
chips is houngan to open up another horizon. Already several device and chip
manufacturers are developing AI-specific chips to help with IoT deployment.
Almost the vast majority of top technology brands and investors from venture
capitalists are fueling this idea of developing new chips for IoT devices. From the
likes of Google to Apple to Microsoft and several others are just waiting to unleash
their offerings in the new and evolving space of edge-to-cloud hybrid computing.
The huge proliferation of sophisticated development kits making prototyping easy is
a great example of how AI. IoT and cloud computing together are transforming the
mobile app development scenario.
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6. Topics: IOT AND CYBERSECURITY, AI AND CYBERSECURITY, CLOUD COMPUTING TRENDS
Opinions expressed by DZone contributors are their own.
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