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With cloud services becoming commonplace in every business, the need to secure those services from malicious attackers has become equally important. While there are several tools that can secure the cloud environment; however, one of the promising technologies that can be implemented to ensure cloud security is artificial intelligence or AI.
AI and its role in cloud consulting services is already a hot topic of discussion today. While many experts believe that artificial intelligence takes over tasks performed by humans; on the other hand, few experts also believe that AI can augment human abilities and, in fact, help humans to become more productive and efficient. AI in cloud security helps in the identification of potential breaches and blocks those threats that often go undetected.
In this blog, we will talk about how artificial intelligence (AI) plays a focal role in cloud data security, its importance, and the challenges pertaining to a cloud infrastructure. Let’s delve deeper.
Exploring the Role of AI in Cloud Computing
AI in cloud computing is now helping organizations to evolve themselves in the dynamic cloud environment. Here are some of the ways through which artificial intelligence secures your data in the cloud.
Big Data Processing
Big data refers to the collection of large volumes of data that companies generate on a regular basis. This bulk data comes in the form of various sources that include transactions, social media data, and other click-stream data. Processing such big data presents several challenges for any type of organization, as it can be difficult to process and store such a large volume.
However, AI helps in securing big data by predicting threat-detecting anomalies, improving encryption, automatic responses, and, most importantly, user behavior. Overall, AI in cloud security protects your data against all the current and upcoming threats.
The AI systems analyze huge amounts of data and detect patterns and anomalies that can possibly indicate security threats. With real-time responses, AI can mitigate risk, thus reducing the chances of data breaches. Artificial intelligence analyses huge datasets to detect vulnerabilities and prevent data breaches.
The predictive analysis feature of AI can help secure cloud data by predicting security threats, thereby allowing organizations to immediately address them and resolve the weaknesses before they are exploited.
Biometrics, behavioral analysis, and other AI-powered authentication methods offer a top drawer security as compared to the traditional method of username and password systems. This kind of enhanced authentication feature assures that the system is being accessed by the original users.
Efficient Allocation of Resources
AI identifies the areas of high risk within the cloud infrastructure and helps in the optimization and allocation of security resources, ensuring that the security efforts are being prioritized by the organizations effectively and are resolved on time.
Cloud environments, needless to say, are highly dynamic in nature, because of which the vulnerability increases even more. AI can seamlessly adapt to changes and offers constant security so that the data remains protected even in the rapidly transforming infrastructure.
Improved User Experiences
As AI promises not to compromise on the security of the users, therefore, it helps to build trust among them by enhancing the user experience and satisfaction. For example, AI enables secured multi-factor authentication and other adaptive access controls that enable users to have complete control over their accounts.
AI also assists businesses in adhering to government regulations and compliance when it comes to maintaining privacy regulations and data protection. By consistently monitoring the data handling practices and making businesses alert about potential violations, AI helps businesses to follow all regulatory complaints.
Potential Security Risks and Challenges in a Cloud Infrastructure
With the numerous benefits of AI in cloud computing, it also has several security challenges that businesses must tackle with. Here are some of them.
Privacy and Security Issues
With AI becoming more advanced day by day, the concerns about how such advanced technologies will affect our privacy and security are now being raised. For instance, if AI is used for monitoring our online activities, then it could possibly collect all our sensitive data, which would later cause a lot of trouble.
Also, AI systems can be easily tricked by malicious attackers, thereby allowing the introduction of new vulnerabilities and risks. Thus, if AI is not used properly, then it can be mismanaged by hackers.
Incomplete or Siloed Data
Artificial intelligence is experiencing gradual growth both in terms of adaptation and deployment. However, siloed or unstructured data still presents a huge challenge for technologies like AI. Incomplete data or siloed data does not have any predefined structure or data model, thus making it difficult to interpret and organize.
This includes things like images, text, and videos. Unstructured data can be quite hard to work with as it contains valuable information. Despite such challenges in unstructured data, there is a lot of importance in the world of AI.
Insider threats, weak access control, and incorrect setups are some of the main causes of data breaches in cloud infrastructure. Along with this, the malicious attacker also takes advantage of the flaws inside a cloud infrastructure by obtaining unauthorized access to the cloud accounts. This leads to the unintentional disclosure of sensitive data, thus increasing the probability of data breaches or security breaches.
Often, regulatory compliances are challenging and difficult to implement, particularly in highly regulated sectors like banking and healthcare. However, it is not easy to efficiently navigate and execute industry-specific standards and legislation. Anyway, organizations must comply with the regulations to guarantee complete cloud security for their uses.
What Future Does AI Hold in the Cloud Computing Age?
The technologies, policies, and techniques used to protect the data stored in the cloud from any kind of unauthorized access, cyber threats, and other data breaches are collectively known as cloud security.
Although there are pertinent challenges and questions around AI’s capability of maintaining cloud security, it still holds a great opportunity to evolve. While AI-driven insights will help businesses improve their decision-making processes, AI-powered services will continue offering them innovative solutions that can propel their businesses toward success.