Global disasters have historically served as wake-up calls for all industries. As organizations swiftly adapt their operations to come to terms with the new reality, their inner workings, strengths, and flaws are left bare for all to see.

Businesses that take aggressive steps in adversity can quickly transform adversity into an advantage. So far, it appears that organizations that view information as a currency and have adapted machine learning and advanced data analytics quickly have fared better in the aftermath of the pandemic’s economic impact.

Business optimization and artificial intelligence

The global coronavirus pandemic has prompted tiny enterprises to create internet endeavors. It has also driven them to implement AI-enabled platforms that provide customer data and assist businesses in delivering “hyper-personalized” items to online shoppers.

Furthermore, AI has aided organizations that have struggled to build secure and contagious work cultures by establishing on-demand online labor forces.

AI can automate and repeat tasks that people would otherwise perform in the commercial world. It aids in increasing efficiency, lowering costs, and saving time that may be spent on other corporate operations.

To learn about consumer trends, forecast consumer behavior, and determine the “next best move” to improve customer satisfaction and drive sales, AI, on the other hand, requires enormous amounts of data. On the other hand, predictive intelligence can forecast demand and supply patterns and aid quality control operations in industrial plants.

The problem is that acquiring and maintaining this data safely while protecting your stakeholders’ interests is difficult. Internet of things (IoT) security is a massive danger for users in this age of digital transformation, as everything is networked and shared online.

According to various estimations, security breaches have increased dramatically, ranging from 15% to 21%. Leading social media networks like Facebook, Twitter, and Yahoo have all been hacked, exposing millions of dollars’ worth of user data.

This means that consumers must create stronger passwords and that these AI-enabled platforms must also meet stricter cyber security standards. Data-rich firms must develop efficient and trustworthy techniques to turn data into meaningful and actionable insights since data science and AI will shape the future stages of IoT development.

Role Of AI In Cybersecurity

Data collection and AI algorithms are becoming increasingly important in the cyber security industry. Rather than relying on out-of-date malware databases, AI-enabled platforms can be proactive and monitor devices for unusual activity. Compared to traditional technologies, automated decision-making and review processes give a broader spectrum of protection against hostile actions.

According to Gartner, one of the world’s most extensive research and IT firms, 60 percent of digital businesses could incur significant losses due to their security teams’ incapacity to handle digital risks.

Businesses are becoming more conscious of risk-management approaches due to high-profile cyber breaches over the past two years. Cyber security risk management is one of the top objectives for 79 percent of worldwide executives.

Most CISOs have begun to aggressively restructure their security and IT cultures by disseminating security responsibility across the enterprise. As a result, AI advancements in cyber security should focus on making systems safer and more secure to use for users. Early detection of hazards is essential. Let’s look at how to accomplish it correctly:

Early Detection Of Hazards Is Essential

To understand risks, combine traditional threat information with machine learning. This should lead to a more effective and efficient threat detection and prevention system. This can also aid in the detection of any data flaws or threats.

Machine learning may detect any anomaly or potential vulnerability amid “routine” activity, alerting users to a threat before it compromises critical data. Your hackers won’t even realize you’re aware of their presence if you have the correct systems, allowing you to take rapid steps to protect your digital infrastructure.

Preventing Credit Card Fraud Is A Must

Using AI-enabled platforms that help authenticate the credit-card holder, spontaneous activity, such as purchases made from a different device or strange transactions, can be discovered promptly. Machine learning can also assist users in password selection by alerting them if a password is insufficiently secure.

Invest In Blockchain Technology

In recent years, cryptocurrencies such as Bitcoin and Ethereum have gained popularity. These coins are based on blockchain, a cutting-edge technical approach for storing a secure, decentralized transaction record. Blockchain can enable medical records and aid in security management by discovering criminal identity flaws in the system.

Verification keys would no longer be required with blockchain technology. When someone tries to hack the data, the system examines all the data chains. Even if the hacker leaves one data node unattended, the complete system can recover effectively. This increases the system’s overall security by assuring that no distinct mechanism of tampering with blocks in the chain exists and that the stored data is safe.

Investigate The Data Thoroughly

One of the most critical ways AI can aid cyber security is quickly responding to threats. In 2016, Google, for example, classified about 20,000 sites as having malware on its servers. While humans cannot examine millions of websites, machine learning can do so. It is feasible to employ applicable AI technologies to assess each site visit, categorize visitors based on their threat level, and deal with them appropriately.

Conclusion

We are entering a period of hyper complexity in which all of our data is linked. Even while artificial intelligence has the potential to deliver enormous advancements and developments, it would come at the expense of large volumes of personal data and security breaches.

Data can be protected and risk reduced by automating and regulating the security process, which uses sophisticated algorithms to discover, learn, and understand possible threats.

To know more about AI-enabled platforms in your business, contact the ONPASSIVE team.