Now AI will assist Cybersecurity!

Because AI is constantly changing and updating itself based on current data and information analysis, it is being used in cybersecurity. Additionally, these AI-infused systems are dynamic and iterative, and they become smarter with each quantum of data they analyse.AI is used in cybersecurity in countless ways.

These AI-powered cybersecurity applications gather information from various company information systems independently and then notify users to potential online dangers. Human teams can enhance their subject and industry knowledge through the integration of cybersecurity and artificial intelligence.

This is crucial since different attack forms are used by cyber attackers depending on the industry, size of the firm, operational capabilities, etc. The security team has access to a data repository and an inventory of all the users, devices, and apps present in the enterprise information system thanks to AI-enabled cybersecurity. Better inventory management and categorization are made possible by this.

AI can help in Identity Systems Defence

In line with trend 1, trend 2 views credential misuse as one of the most typical methods threat actors enter delicate networks. Companies are setting up "identity threat detection and response" systems, according to Gartner, and some of the more potent ones will be supported by AI and machine learning. For instance, AI-based phishing solutions analyse email content, sender reputation, and email header information to detect and thwart phishing attempts.

Moreover, businesses can use anomaly detection.

Machine learning methods can be used by these AI-based detection technologies to identify unusual patterns in network data, such as login attempts or traffic.

When threat actors attempt credential stuffing or use a huge volume of stolen credential information for a brute-force attack, AI can also warn admins.

And while it may surprise humans to find how predictable we are, AI can also examine typical behaviour patterns to spot unusual conduct, such as login attempts from unusual locations, which aids in the quicker detection of potential invasions.

AI can help in Distributed decisions

A single CISO cannot manage the complexity of the digital environment on their own. Strategically placed leaders enable decentralised decision-making. This evolved CISO department function relies heavily on AI-supported decision-making. Leaders may observe the environment in real time and receive practical advice on how to reduce risks or pivot based on the most recent data thanks to automation and superior observability. In some circumstances, automation can lessen the need for human judgement in some contexts, freeing up people to handle more difficult problem-solving and responses.

AI is Beyond Awareness

In today's evolving security environment, conventional security approaches are no longer effective. The majority of security incidents are still caused by human mistake; thus, firms should adopt a much more modern, all-encompassing strategy than conventional awareness programs. This implies going beyond basic prediction using AI. In order to provide scale and flexibility in threat detection, AI can evaluate user behaviour for anomaly detection, dynamically alter authentication requirements based on real-time risk assessment, and learn from each incidence. Using AI to counter these attacks will be the only option because threat actors themselves are utilizing AI to circumvent conventional security practices.

AI will become even more essential for cybersecurity in 2023

Businesses are aware that nothing will return to security operations from before 2020 due to disruptions and cloud migrations. Instead, AI will be a crucial element of cybersecurity that supports each trend and encourages businesses to adopt a completely different strategy for cybersecurity.