What Will Machine Learning (ML) Tools Change the Cyber Threat Landscape?

 Artificial intelligence Artificial intelligence, which is AI for short isn't an entirely new phenomenon. It has been around since the 1950s. However, nowadays, AI has gained momentum and is now more advanced than was believed to be and to the point where the fears of AI cyberwarfare have become an actuality.

The term "traditional" cyberwarfare is the use of technology and the internet to harm or disrupt the country in question by using malware or denial-of service attacks or disinformation campaigns. AI cyberwarfare refers to usage in the use of AI or machine learning (ML) instruments to boost the effectiveness of these operations and make them more efficient.

"At exactly the time the prerequisites for digital warfare were being created and the capabilities of automated information processing have seen a quantum leap. AI is therefore in the middle of cyberwarfare due to its apparent potential and its intrinsically numerical nature." wrote academic researchers Rudy Guyonneau and Arnaud Le Dez . "AI communicates in the machine language and can translate it to humans in order to fight in the machine-space."

Utilizing ML techniques to commit fraud for motives

Hackers are already making use of machine learning in order to create malicious algorithms that are able to adapt to learn, adapt, and continually enhance their capabilities to avoid detection. Thus, the possibility of a move to AI-powered attacks is not far from possibility, especially when you consider how rapid advancements in technology can increase the power, speed and size of future attacks.

For instance, not just does AI allow more systems to cyberattacks, it also provides the possibility of new attack methods, such as manipulation of video or audio files that add a brand fresh and possibly even more deadly way to spread fake news that can lead to real-world consequences in real life.

Similar to attacks targeting AI systems may provide attackers access to machine-learning algorithms as well as vast quantities of data gathered from intelligence analysis and collection systems. The data could be used, for instance in support of surveillance operations.

Although AI is yet to make it into battle, there are a variety of possibilities for how AI technology may be utilized by cybercriminals, whether it's to automate attacks, and improving the way they target victims, or for better impersonating people to create more efficient social engineering, or to create more dangerous viruses and malware.

Exploiting weaknesses and using open-source AI tools

There are tools available currently that can allow attackers to begin preparing for AI-powered attacks based on its open source nature AI research. For example tools and software that are open source, as well as Linux distributions like Kali Linux contains a suite of white-hat tools which can be utilized in a manner that is savage. In the same way, tech-savvy people are constantly learning and creating open-source solutions to aid with hacking.

These open-source software tools can be employed for anything from exploitation of servers and websites by injecting packets in wireless networks in the hopes of intercepting and decrypting the traffic.

Additionally the machine learning systems themselves which are the core of AI are becoming increasingly vulnerable, and it's just the matter of time until malware for attack appears. By exploiting these weaknesses, it is possible for hackers to alter the machine learning system's security, integrity and availability that could be a nightmare for companies of any size.

Protecting against cyberattacks and defensive AI

Fortunately, AI is able to be employed to benefit society. AI offers possibilities for cybersecurity, which includes capabilities like continuously and dynamically responding to advanced threats on a daily basis. It can also assist security professionals recognize the patterns of behavior to react more quickly to signs of an threats.

Automation that is based on intelligence can give greater insight into the behavior of endpoints and can further enhance organizations capability to identify threats based upon known threats' signatures.

At an earlier GovCIO Media and Research conference, Thomas Kenny, CDO of the United States Special Operations Command stated: "Some of the challenges we're seeing are the rapid growth in the capabilities to use AI agents to carry out offensive and defensive actions in cyber networks.

"The human solution isn't there now. If we want to truly secure our cyber networks, there's no need for the addition of more people or a bigger Security Operations Center. The capabilities we require to have require intelligent systems with the ability to be able to learn quickly, recognize within milliseconds the possibility of attacks, as well as be able to make the right decisions."

Although"offensive" AI is referred to as "offensive" AI is expected to utilize the technology's capacity to adapt and learn to bring about a new age of cyber-attacks that can be adaptable and scalable, businesses are also going to have defense AI that can assist them in fighting backand it's becoming evident that this is a crucial weapon to win the fight against threats as well as human.

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