Artificial Intelligence Business Opportiunities

AI based cybersecurity: security powered by machine learning

cybersecurity illustration

The rise in cyberattacks is helping to fuel growth in the market for AI based cybersecurity products. The global market for artificial intelligence-based cybersecurity products is expected to reach $133 billion by the year 2030. Artificial intelligence-generated emails have higher opening rates than manually crafted emails.

For both good and bad, artificial intelligence is playing an increasingly important role. Organizations can use the latest tools to detect threats and protect their data. cyber criminals can use technology to launch more sophisticated attacks

The rise in cyberattacks is helping to fuel growth in the market for artificial intelligence-based security products. According to a report by Acumen, the global market was $14.9 billion in 2021.

An increasing number of attacks such as distributed denial-of-service and data breeches are creating a need for more sophisticated solutions.

The shift to remote work was one of the drivers of market growth. Many companies put an increased focus on cybersecurity and use of tools powered with artificial intelligence to find and stop attacks.

The rising number of connected devices and the growing adoption of the Internet of Things are expected to fuel market growth. The growing use of cloud-based security services could lead to new uses of artificial intelligence for cybersecurity.

Risk and compliance management, identity and access management, intrusion detection/prevention system, and fraud detection are some of the types of products that use Artificial Intelligence.

Sample illustration of AI
Sample illustration of AI

The use of Artificial Intelligence for cybersecurity has been limited. The co-leader of the cybersecurity, data protection & privacy practice at Pillsbury Law said that companies aren’t turning over their programs to Artificial Intelligence yet. That doesn’t mean it isn’t being used. We are seeing companies use artificial intelligence but in a limited way, mostly within the context of products such as email filters and malware identification tools that have artificial intelligence powered them.

Behavioral analysis tools are increasingly using artificial intelligence, said Finch. Tools analyzing data to determine behavior of hackers to see if there is a pattern to their attacks. Intelligence can be very valuable to defenders.

According to research vice president Mark Driver, a few patterns for artificial intelligence use were found among security vendors.

One of the biggest challenges for security analysts is the noise in large data sets, which is one of the reasons for the first goal of artificial intelligence being to remove false positives.

Mr. Mark Driver said that artificial intelligence is used to help detect attacks and prioritize responses based on real world risk. It allows automated or semi-automated responses to attacks and provides more accurate modelling to predict future attacks. He said that all of this doesn’t remove the analysts from the loop, but it makes their job more accurate when facing cyber threats.

Bad actors can take advantage of artificial intelligence. It’s possible to use artificial intelligence to identify patterns in computer systems that reveal weaknesses in software or security programs, allowing hackers to exploit those newly discovered weaknesses.

Cyber criminals can use artificial intelligence to create large numbers of fraudulent emails if they have stolen personal information or open source data.

According to security experts, artificial intelligence-generated emails have higher opening rates than manually crafted ones. To avoid detection by automated defensive tools, artificial intelligence can be used to design malicious software that is constantly changing.

Changing signatures can help attackers evade defenses. In the same way, an artificial intelligence-powered malware can sit inside a system, collecting data and observing user behavior up until it is ready to launch another phase of an attack or send out information it has collected with relatively low risk of detection. This is part of the reason why companies are moving towards a zero trust model, where defenses are set up to constantly challenge and inspect network traffic and applications in order to verify that they are not harmful.

The economics of cyberattacks make it easier and cheaper to launch attacks than to build effective defenses, so I think that artificial intelligence will be on balance more hurting than helpful. It is difficult to build good artificial intelligence and requires a lot of trained people to make it work. The run of the mill criminals are not going to have access to the best minds in the world.

The program might have access to a lot of resources from Silicon Valley to build good defenses against low-grade cyber attacks. When we get into artificial intelligence developed by hacker nation states, their hack systems are likely to be quite sophisticated, and so the defenders will generally be playing catch up.       

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