AI and Cybersecurity: A Match Made in Heaven?

With cybercriminals becoming increasingly tech-savvy and hacking activities no longer confined to Lonestar operations, businesses are facing increasing threats to their cybersecurity measures and were in the need of a tool that could prove to be beneficial and equip them to counter these activities. Moris Media, the leading digital marketing agency in India, researches how AI has proven to be the perfectly compatible match that the cybersecurity domain needed.

Now artificial intelligence can help with cybersecurity!

The fact that Artificial intelligence (AI) is continuously updating itself to address new and ever-changing scenarios makes it indispensable for cybersecurity operations. In addition to this, the AI-powered systems are interactive and iterative, and they improve their intelligence with each additional quantum of data that they examine. There are innumerable applications of AI in the field of cybersecurity.

These cybersecurity apps, which are driven by AI, autonomously collect data from a variety of enterprise information systems, analyse it, and then alert users to any threats that may be present online. The combination of cybersecurity and artificial intelligence may help human teams improve their subject- and industry-specific expertise.

This proves to be highly important as cyber-criminals of the modern era are making use of multiple factors for executing their attacks. This includes demarcation of demographics on the size and type of the business, how well spread they are operationally and other factors. Because of AI-enabled cybersecurity, the security team has access to a data repository as well as an inventory of all of the people, devices, and applications that are now present in the business information system. This enables improved inventory management as well as classification of the items in the store.

The protection of identity systems may benefit from AI.

In keeping with the findings of trend 1, trend 2 considers the abuse of credentials to be one of the most common ways that threat actors infiltrate sensitive networks. According to analysts, businesses have been forced to adopt systems that can make them conscious about potential threats, and some of the more powerful ones will be assisted by artificial intelligence and machine learning. For instance, AI-based phishing solutions examine the content of emails, the reputation of the sender, and information included in the email headers in order to identify and foil phishing efforts.

A further option for companies is the use of anomaly detection.

These AI-based detection solutions may employ techniques of machine learning to spot unexpected patterns in network data, such as login attempts or traffic. Examples of this include traffic or login attempts.

AI is also capable of alerting administrators in the event that threat actors try credential stuffing or utilize a large number of stolen credential information for a brute-force assault.

And although it would come as a surprise to humans to see how predictable we are, AI is able to analyse common behavior patterns to identify instances of odd behavior. For example, it can recognize attempts to log in from places that are not typical, which helps in the faster identification of possible intrusions.

The use of AI may assist in making distributed judgments.

The complexity of the digital world is not something that can be managed by a single CISO working alone. Decentralized decision-making is made possible by the strategic placement of leaders. The upgraded CISO department role places a significant emphasis on decision-making that is backed by AI. Because of automation and improved observability, leaders now have the ability to monitor the environment in real time and get actionable guidance on how to mitigate risks or make course corrections based on the most up-to-date data. Automation may, in certain instances, reduce the need for human judgment, freeing up humans to undertake more complicated problem-solving and reactions. This is something that has a very high probability of occurrence.

There is No Human Awareness of AI

In the constantly shifting nature of today's security landscape, traditional security measures are no longer viable options. The vast majority of security breaches are still the result of human error; hence, businesses should implement a plan that is far more cutting-edge and all-encompassing than traditional awareness initiatives. This necessitates going farther than simple prediction with the use of AI. AI is able to analyse user behavior for the purpose of anomaly detection, dynamically adjust authentication requirements depending on real-time risk assessment, and learn from each incident in order to give scale and flexibility in threat detection. Because threat actors are using AI to get beyond traditional security measures, the only way to stop these assaults is to use AI. There is no other alternative.

In the year 2023, AI will become even more crucial for the field of cybersecurity.

Because of interruptions and migrations to the cloud, businesses are aware that security operations will not return to their previous state until 2020. Instead, artificial intelligence will be an essential component of cybersecurity that underpins each trend and urges organizations to adopt a whole new approach for protecting themselves from cyber threats.