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How might testing AI improve cyber security in the year 2023?

AI will now help with Cybersecurity!
AI is utilised in cybersecurity because it changes and updates itself all the time based on new data and information analysis. Also, these systems with AI are dynamic and iterative, and they get smarter as they analyze more and more data.AI is applied in many different ways in cybersecurity.

These AI-powered cybersecurity apps get information from different enterprise information systems and then let consumers know about any internet threats. When cybersecurity and artificial intelligence are used together, human teams can learn more about their subjects and industries. This is very important since cyber attackers deploy different types of attacks based on the type of business, its size, its operational capabilities, etc. AI-enabled cybersecurity gives the security team access to a data repository and a list of all the users, devices, and apps in the enterprise information system. This makes it easier to keep track of inventories and put things in the right place.

AI can aid in defending identity systems.
In keeping with trend 1, trend 2 says that one of the most common ways for threat actors to get into sensitive networks is to utilise stolen credentials. Gartner says that companies are putting in place "identity threat detection and response" systems. Some of the more powerful ones will use AI and machine learning. For example, AI-based phishing solutions look at the content of emails, the reputation of the sender, and the information in the email header to find and stop phishing efforts.

Anomaly detection can also be used by enterprises.

These AI-based detection solutions can employ machine learning to look for strange patterns in network data, including login attempts or traffic, that don't make sense.AI can also warn admins when threat actors try to "credential stuff" or use a large number of stolen credentials in a brute-force attack. Humans might be surprised to find out how predictable they are. AI can also look at common behavior patterns to recognize odd behavior, such login attempts from strange places, which helps find possible invasions faster.

AI can help make decisions that are spread out.
The digital world is too complicated for a single CISO to handle on their own. Leaders who are located strategically allow for decentralised decision-making. This improved function of the CISO department depends significantly on AI to help make decisions. Automation and better observability make it possible for leaders to see the environment in real time and get advise on how to decrease risks or change direction based on the most recent facts. In some situations, automation might make it less important for humans to use their own judgements. This frees up people to deal with harder problems and replies.

AI is More than We Know
Traditional methods of security do longer work in the security environment of today, which is always changing. Human error is still the main cause of security problems, thus companies should utilise a much more current, all-encompassing strategy than traditional awareness programmes. This means employing AI for more than just simple predictions. AI may look at user behaviour to find oddities, change authentication requirements depending on real-time risk assessments, and learn from each incident to make threat detection more scalable and flexible. AI will be the only way to stop these attacks, since threat actors are already using AI to get beyond traditional security measures.

In 2023, AI will be even more important for cybersecurity.
Businesses know that because of disruptions and cloud migrations, nothing from security operations before 2020 will come back. Instead, AI will be a key part of cybersecurity that supports each trend and encourages firms to take an entirely different approach to cybersecurity.

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