As technology continues to advance, so do the methods used by cyber criminals to carry out attacks. One of the most significant advancements in recent years has been the use of Artificial Intelligence (AI) by cyber criminals to carry out attacks more efficiently and effectively.

AI has become a tool that can be used for both offensive and defensive purposes in cybersecurity, and cyber criminals are taking advantage of its capabilities. In this blog post, we'll explore the rise of AI in cyber crime and how it is changing the threat landscape.


Let’s take a look at some of the ways AI is being used by cyber criminals:


Automated Attacks

One of the main ways in which cyber criminals are using AI is to automate attacks. AI can be used to scan for vulnerabilities, identify targets, and launch attacks on a massive scale. This allows cyber criminals to attack multiple targets simultaneously, making it harder for defenders to detect and respond to the attack.

For example, the Mirai botnet was one of the first examples of an AI-powered botnet that was used to launch massive DDoS attacks. The botnet was able to scan the internet for vulnerable devices and infect them with malware, creating a massive network of infected devices that could be used to launch attacks.


Targeted Attacks

AI can also carry out targeted attacks by identifying and exploiting vulnerabilities in specific systems. This can include using AI to analyze the behavior of individuals or organizations to gain access to sensitive information or assets. By automating the process of identifying vulnerabilities, cyber criminals can launch more precise and effective attacks.

For example, the Carbanak gang used AI-powered malware to steal over $1 billion from banks worldwide. The malware was able to learn the behavior of bank employees and automatically transfer money from accounts without raising suspicion.


Social Engineering

AI can also be used to carry out social engineering attacks. AI-powered chatbots can be used to mimic human behavior and trick users into providing sensitive information such as login credentials or personal data. AI can also be used to generate fake news or social media posts, which can be used to manipulate public opinion or spread malware.

For example, the Deepfake technology is an AI-powered tool that can create realistic-looking videos that manipulate public opinion by showing people saying or doing things they never actually did.


Evading Detection

AI can be used to evade detection by cybersecurity tools such as antivirus software or intrusion detection systems. AI can be used to generate new malware variants that are not detected by traditional signature-based antivirus software. AI can also be used to bypass security measures such as firewalls or intrusion detection systems by generating traffic that looks like legitimate traffic.

For example, file-less malware uses AI to inject malicious code into legitimate processes, making it much harder to detect and remove.


Enhancing Malware

AI can be used to enhance malware by making it more effective or harder to detect. The AI-created malware adapts to changes in the environment, making it harder to detect and defend against. AI can also be used to create malware that is capable of learning and evolving, making it more challenging to stop.

For example, the NotPetya ransomware attack was an AI-powered attack that caused over $10 billion in damages. The malware was able to spread rapidly by using AI to identify and exploit vulnerabilities in systems, making it much harder to contain and stop.


The use of AI by cyber criminals presents a significant challenge for cybersecurity professionals. Traditional security measures such as firewalls and antivirus software are no longer sufficient to protect against these types of attacks.

Additionally, the use of AI in cyber crime has also increased the speed and scale at which attacks can be executed. AI can enable cyber criminals to quickly analyze vast amounts of data and identify vulnerabilities in computer systems and networks, making it easier for them to launch attacks on a larger scale and with greater efficiency.

AI is constantly evolving and becoming more sophisticated, making it even more difficult for cybersecurity professionals to keep up with and defend against these attacks. As such, it is crucial that organizations invest in advanced cybersecurity solutions that incorporate AI and machine learning to detect and prevent cyber threats before they can cause significant damage.

In Conclusion

The rise of AI in cyber crime is a complex issue that requires a multifaceted approach from cybersecurity professionals, including the adoption of advanced security technologies, regular security training for employees, and ongoing monitoring and analysis of network activity. By taking these steps, organizations can better protect themselves against the ever-evolving threat of AI-driven cyber attacks.

At One Step Secure IT, we understand the challenges posed by AI in cyber crime and are committed to staying ahead of the curve in cybersecurity. We offer a range of services and solutions that leverage the latest technologies to protect our clients from cyber threats. Contact us today to learn more about how we can help you secure your business against cyber crime.


Scott KreisbergStay Safe,
Scott Kreisberg
CEO of One Step Secure IT