As the sophistication and severity of cyberattacks grow, the IT sector is working together to improve many of the technologies designed to defend against cyberattacks and prevent them. Artificial intelligence (AI) and machine learning, two technologies that dramatically improve the automation of cloud security, are one path that specialists are now investigating.
When it comes to always-on, instant solutions such as cloud computing platforms, AI may boost security in a variety of ways, not simply by preventing would-be hackers from gaining access. The technology can also aid in the detection of security flaws and infractions, many of which are caused by human mistakes.
According to a study, instead of using complex malware, 85 percent of effective assaults on current enterprise user endpoints will make use of setup and user failures by 2025. People, in other words, are usually the weakest link in the security chain.
AI in Cloud Computing: What Are the Benefits?
If you are unsure why so much emphasis is placed on the usage of AI in conjunction with the cloud, consider the following scenario. Despite developing a stable cloud strategy, businesses are more likely to fail to turn their visions into reality.
What is the reason for this? Lack of cloud-based agile improvement techniques that can be aided by AI. With so many compelling reasons to deploy artificial intelligence in the cloud, it is impossible not to consider the advantages. Learn more about the top five advantages!
1. Prediction of an Event
Machine learning technologies can accurately anticipate future events when given the right data. Experts employ massive amounts of data or digital content to create a predictive model that depicts exactly how events will unfold. This might help businesses prepare for market changes such as a pause in demand or a supply boom in industries like retail. It can aid in the comprehension of prospective threats and the simulation of how they will play out in cybersecurity.
Models of event prediction can be used for a variety of objectives. First, they explain how events may unfold, as well as where risks may arise and what this means. Second, they enable businesses to better plan for similar acts, resulting in a shorter detection and treatment period.
AI-powered organizations will respond to consumers, competitors, regulators, and partners faster than their peers in the future, thanks to proactive and hyper-speed operational changes, as well as market reactions.
2. Cost Savings
Now, it is time to concentrate on the economics of AI in the cloud as it will lead to one of the most important AI advantages in cloud computing. The use of artificial intelligence and cloud computing together promises to cut expenses. Cloud computing’s economics save money on infrastructure expenses that would otherwise be spent on it. Since there is no need for on-premise data centers, AI development costs are significantly reduced.
Major cloud companies‘ AI features can also help reduce costs in research and development. Without incurring additional fees, organizations having access to the cloud can use AI to get research findings. Users can create their bespoke dashboards to track and forecast expense patterns over time, reducing the risk of overpaying. Using AI and the cloud will save you a lot of money in the long run.
87% of IT and data protection specialists feel cloud computing has made data protection better or more cost-effective for their company.
3. Reliable Data Management
Data leaks can and do occur, and they are frequently the consequence of illegal and unrestricted access unless there is a serious security flaw. The risk of damage is increased when using a hard disc or physically accessible infrastructure. Crashing, losing files, losing backups, and so much more are all possibilities. AI in cloud computing, on the other hand, ensures business continuity, disaster recovery that is faster and easier, and data backup that is simpler.
Administrators may lock down systems to make them practically airtight, preventing possible threats, particularly from insiders, by combining AI with network and gateway security, endpoint protection, and sophisticated authentication. User monitoring can aid in the detection of unusual activities, allowing companies to catch hackers early and shut them down.
As of 2019, 75% of polled IT executives reported using artificial intelligence (AI) for network security. With 71 percent and 68 percent, respectively, reporting use of data security and endpoint security.
4. Security Automation in the Cloud
According to the survey of 300 cloud professionals (including cloud engineers, security engineers, DevOps, and architects), 36 percent of organizations experienced a serious cloud security data leak or a breach in the previous 12 months, and eight out of ten are concerned about a major data breach related to cloud misconfiguration.
The application of artificial intelligence (AI) in the cloud is also beneficial to cloud security. AI advances could process data on cloud infrastructure and promptly spot errors. Therefore, AI can advise a human to be cautious or respond in various ways. Unauthorized access to cloud settings can be significantly reduced with such improvements.
Furthermore, AI might detect and block unusual events, limiting the introduction of potentially dangerous code into the system. Besides, the ability of AI to assist in the assessment and collation of data across several locations enables firms to engage in proactive security incident response.
Cloud security identity software is a good illustration of this, as it allows providers to restrict user access while still using a reliable and efficient protocol. It only allows those who require access and excludes those who do not.
A projected rise in cloud security automation is another notable contribution of AI to the cloud computing area. Cloud security automation does not always imply the abolition of human specialists. AI, on the other hand, can assist human security teams in successfully prioritizing their work and completing their tasks.
5. Modification in IT Infrastructure
The restructuring of IT infrastructure is the most noticeable addition to the list of top AI benefits in cloud computing. In today’s world, businesses face heightened competition, which has pushed the competition benchmarks up a notch. As a result, in this circumstance, the requirement for diverse and imaginative efforts to persist becomes unavoidable. Thus, there is currently a considerable demand for AI-optimized application infrastructure.
IT systems with pre-built storage and computing resource combinations are being introduced by various vendors. AI workloads can benefit from the interconnect resources in these IT systems, which can speed up and automate them. Furthermore, since AI is a relatively new technology, increased IT infrastructure optimization strategies can aid in this area. AI-enabled computing platforms and infrastructure optimization technologies can aid in the preparation of IT infrastructure for increased demand.
According to Canalys’ latest study, corporations spent $5 billion more on cloud infrastructure services in Q2 2021 than the previous quarter.
The Bottom Line
Almost every program now has a cloud backup solution, and cloud migration is in high demand. The application of artificial intelligence in the cloud can create a large network capable of storing massive amounts of data.
Thus, AI technologies allow for the automation of cybersecurity procedures, which is required for cloud computing. AI and cybersecurity are inextricably linked, as evidenced by the rapid adoption of both over the last few years.
In response to escalating cybersecurity concerns, nearly one-third of CISOs used AI. As more people learn about the benefits of an AI-powered cloud security platform, this trend will continue.
Author bio: Harikrishna Kundariya, a marketer, developer, IoT, ChatBot & Blockchain savvy, designer, co-founder, Director of eSparkBiz Technologies. His 10+ experience enables him to provide digital solutions to new start-ups based on IoT and ChatBot.