Artificial intelligence is transforming the way companies develop software, analyze information, and automate tasks, but it is also modifying the tools available to cybercriminals. A case revealed in August 2026 highlighted the extent to which AI systems can be used to facilitate cyberattacks against organizations in different countries and sectors. A Russian-speaking group of hackers identified as Aur0ra used Cursor, an AI-based programming assistant, during a campaign that affected at least seven companies. The investigation made it possible to observe conversations between the attackers and an AI agent, offering one of the clearest pictures so far of the incorporation of commercial artificial intelligence systems into real cybercrime operations.
The case is particularly striking because the criminals did not necessarily develop their own artificial intelligence to carry out their activities. Instead, they took advantage of a commercial tool originally created to help programmers write and modify code. Cursor can interact with files, execute certain tasks, and use agents capable of carrying out operations with a certain degree of autonomy, features that considerably increase its usefulness compared with a traditional assistant. Those same capabilities, however, can become a risk when the user controlling the system intends to illegally access networks, accounts, or information belonging to third parties.
A Programming Assistant Turned into an Offensive Tool
The campaign came to light after researchers from Gambit Security discovered a server that the Aur0ra group had accidentally left exposed on the internet. The server contained information related to the cybercriminals' activities and made it possible to analyze conversations between members of the group and one of Cursor's artificial intelligence agents. The records showed that the attackers used the system to execute or plan numerous technical actions linked to cybercrime. The information made it possible to reconstruct part of the methodology used during the attacks and gain a better understanding of the role that artificial intelligence played within this cybercrime operation.
Cybercriminals did not limit themselves to requesting general explanations about programming or computer security. They tried to turn the agent into a kind of technical assistant integrated into their cybercrime operations. The researchers observed hundreds of actions related to activities such as searching for credentials and attempting to access high-value accounts, common practices within certain cybercrime operations. At certain moments, the agent provided technical guidance that helped the attackers advance toward their objectives and carry out their cybercrime activities more quickly.
One of the most revealing aspects was the interaction between the hackers and the AI system. The attackers could make brief requests and receive much more elaborate technical responses, while the agent appeared to interpret each task as part of a problem-solving process related to cybercrime. At certain moments, the artificial intelligence recognized that a VPN connection had been successfully established or proposed subsequent steps after finding certain systems. It could also recommend tools to exploit vulnerable equipment, showing that the agent could be integrated into a much more complex chain of actions than simple code generation and that it could be exploited by cybercrime actors.
The campaign also highlighted that the security safeguards incorporated into agents are not necessarily sufficient to prevent malicious use. According to the researchers, the agent rejected some instructions when it identified that they could be related to illicit cybercrime activities. However, the attackers learned to reformulate their requests and present the operations as part of a simulation or a security test. In this way, they attempted to convince the system that the requested actions had a legitimate purpose and were being carried out within an authorized environment, a strategy that demonstrates how cybercrime can attempt to adapt to the security barriers of artificial intelligence.
The Problem of Security Safeguards
This strategy raises a fundamental question about the defenses of artificial intelligence systems against cybercrime. A model may be designed to reject a dangerous request, but it may have difficulty verifying whether the person making the request actually has authorization to carry out certain actions. The difference between a legitimate security audit and a cybercrime attack may depend on information that the model cannot verify on its own. If the system places too much trust in the explanation provided by the user, a criminal can attempt to turn an illegal activity into a supposed legitimate investigation through carefully formulated instructions.
The problem becomes more complex when the agent has direct access to computer tools. An assistant that only generates text presents a limited risk because a person must manually execute the instructions it receives. By contrast, an agent capable of reading files, executing commands, modifying code, or interacting with other services can transform a conversation into concrete actions used in cybercrime operations. Therefore, the security of these systems cannot depend solely on what the model decides to answer.
Developers also have to consider the permissions granted to the agent and the environment in which it operates. A system used for programming should not automatically have unlimited access to a company's servers, especially in the face of potential cybercrime threats. Likewise, a tool that only needs to consult certain files should not have authorization to modify critical information. Applying the principle of least privilege can considerably reduce the consequences of misuse and limit the impact of potential cybercrime actions.
Companies from Different Sectors Among the Targets
The records analyzed made it possible to identify several of the organizations that appeared within the cybercrime campaign. Among them was Christeyns, a Belgian company dedicated to hygiene and cleaning products, as well as Teckentrup, a German manufacturer of doors and systems related to garages. The Helideck Certification Agency of Scotland, an organization involved in the certification of platforms used for helicopter operations, also appeared. Other identified targets included companies from Argentina, Italy, and the United States, among them Bayou Title, a U.S. company specializing in real estate title insurance.
The variety of the victims is significant because it demonstrates that attacks assisted by artificial intelligence can expand the reach of cybercrime and are not limited to a specific industry. A chemical organization, an industrial manufacturer, a company related to aviation, and a financial services company may have very different technological infrastructures, but they all depend on digital systems that can become targets. The ability of an AI agent to adapt to different environments may make that diversity less important for an attacker. Instead of needing a completely different tool for each target, the criminal can use the same assistant to investigate and solve specific technical problems within their cybercrime activities.
CloudSek, another company specializing in cybersecurity, found information indicating that Aur0ra had claimed to have at least 20 victims. However, it was not possible to establish that all of them had been compromised using artificial intelligence. For this reason, a distinction must be made between the group of victims attributed to the group and the organizations in which the use of Cursor was specifically documented. Even so, the existence of several attacks in which the agent had an operational role demonstrates that AI can already be part of real cybercrime activities and not merely theoretical experiments.
At least one of the identified companies later appeared on the leak site used by the group. The presence of an organization on this type of platform may indicate that the attackers attempted to pressure the victim through the threat of publishing information obtained during the intrusion. However, the outcome of each of the attacks is not known precisely, nor can it be determined that all the operations ended with a significant extraction of data. The case should be understood primarily as evidence of a new technique used by cybercrime and of the growing adaptation of cybercriminals to artificial intelligence tools.
The New Generation of Autonomous Agents
The Aur0ra case becomes even more relevant because of the accelerated development of artificial intelligence agents and their relationship with cybercrime. During the first years of the expansion of large language models, most systems functioned primarily as conversational tools. The user asked a question and received an answer, but had to personally execute the instructions received. Current agents can have access to files, programs, terminals, browsers, and other tools, allowing them to complete sequences of tasks with much greater autonomy and expand the possibilities of cybercrime.
This evolution changes the risk profile. An incorrect response from a chatbot can create a problem if someone trusts it too much, but an agent capable of executing actions can produce consequences directly on a computer system and facilitate cybercrime activities. The difference between recommending an action and carrying it out is enormous from a security perspective. Therefore, the greater the autonomy granted to an agent, the greater the level of control that must also exist around its operations to prevent uses related to cybercrime.
Agents can also chain tasks together and considerably reduce manual work. A user can set a general objective and allow the system to divide that objective into different steps, analyze the results obtained, and determine what to do next. For a legitimate programmer, this can represent a huge increase in productivity. For an attacker, it means that part of the repetitive work required to investigate and compromise systems can be delegated to a machine, potentially increasing the efficiency of cybercrime.
The danger does not necessarily lie in AI having its own intention to cause harm. In the case investigated, the malicious decisions came from human beings directing the cybercrime process. The artificial intelligence acted as a tool capable of interpreting commands, generating solutions, and executing certain actions. Precisely this combination of human intent and automated capability can make attacks faster, cheaper, and more scalable, turning AI into an increasingly relevant resource for cybercrime.
A Race Between Attackers and Defenders
The researchers who studied the campaign consider that the use of artificial intelligence agents in attacks represents the beginning of a new technological race within cybercrime. Model providers develop mechanisms to prevent their systems from being used for harmful purposes, while attackers look for ways to overcome those restrictions. This dynamic is reminiscent of other cybersecurity battles, in which each new defense creates incentives to find methods of evasion. Cybercrime, therefore, also evolves as new technological tools appear.
The difference is that artificial intelligence models operate through language and context, which provides attackers with an especially broad surface for manipulation. A person can attempt to reformulate a request, change the context of a conversation, or claim that they are conducting an authorized investigation. The system must interpret not only the words used, but also the intention supposedly behind them. Determining that intention is especially complicated when the model does not have independent access to information that would allow it to verify the user's claims and distinguish a legitimate activity from a cybercrime operation.
This means that companies developing agents cannot rely solely on internal filters. A system may correctly refuse to perform a dangerous operation and still be misused if it is connected to an environment that grants too many permissions. Security must be present both in the model and in the architecture surrounding it to reduce the risks associated with cybercrime. Limiting the tools available, controlling permissions, and monitoring actions can be just as important as improving the security instructions of the model itself.
Artificial Intelligence as a Multiplier
One of the major changes introduced by these technologies is the reduction of some technical barriers to cybercrime. Sophisticated cyberattacks traditionally require specialized knowledge of operating systems, networks, programming, authentication, and different security tools. Artificial intelligence does not eliminate the need for this knowledge, but it can provide assistance in many of these areas. An attacker can use the system to interpret documentation, troubleshoot errors, analyze results, or transform a general idea into a series of specific instructions.
This can have significant economic consequences for cybercrime. If an operation requires less human time, a group may attempt to attack a larger number of targets. A company that previously was not sufficiently attractive because compromising it required too many resources can become a viable target when part of the work can be automated. The potential consequence is an increase in opportunistic attacks and greater pressure on small and medium-sized organizations.
However, it would be incorrect to claim that artificial intelligence has turned anyone into an expert hacker engaged in cybercrime. Real intrusions continue to present obstacles that require decision-making ability, contextual knowledge, and experience. Computer systems differ from one another, and attackers must constantly interpret the results obtained. AI can accelerate certain tasks, but it does not by itself guarantee that a cybercrime operation will succeed.
The importance of the case lies precisely in the concept of a multiplier. A tool does not need to perform one hundred percent of an operation to radically change its efficiency. If it allows hours to be saved on certain tasks, helps interpret errors, or quickly generates technical solutions, it can increase the attacker's productivity. The same principle explains why legitimate companies are interested in using AI agents for programming and security operations.
AI Can Also Strengthen Defense
Artificial intelligence offers enormous possibilities for those defending networks against cybercrime. Systems can analyze large volumes of logs, detect anomalous patterns, prioritize alerts, and help investigators understand incidents. A human team receiving thousands of security signals can use AI models to identify which ones deserve immediate investigation. It can also use agents to automate routine tasks that consume time and resources.
This creates an important paradox. The same technologies that can facilitate attacks can become essential tools for stopping cybercrime. Defenders, however, must avoid reproducing the same problems they are trying to solve. A security agent that receives excessive permissions could become a new target or even cause damage if it incorrectly interprets a situation. Automating a security decision does not eliminate the risk; rather, it changes where that risk occurs.
For this reason, the adoption of AI in cybersecurity must be accompanied by appropriate controls. Companies need to know what each agent can do, what information it can access, and what actions it can execute without human authorization. They must also maintain detailed logs that make it possible to reconstruct the operations carried out by the system. Traceability will be especially important when an agent can act for extended periods without constant intervention.
The use of Cursor by Russian-speaking cybercriminals represents an important signal regarding the evolution of the digital threat and cybercrime. The campaign attributed to Aur0ra demonstrates that artificial intelligence agents can be incorporated into real operations and that their capabilities can be used to accelerate certain phases of an attack. It also shows that security mechanisms based solely on the interpretation of instructions can be vulnerable when a user attempts to manipulate the context and present a malicious activity as a legitimate simulation. The technology does not need to act on its own to become a decisive factor within an intrusion related to cybercrime.
The main lesson is that the security of artificial intelligence cannot depend exclusively on models. Agents need external limits, minimum permissions, supervision, environment isolation, and mechanisms capable of stopping dangerous cybercrime operations. Companies that adopt these tools will have to treat them as systems with operational capabilities and not simply as assistance programs. The more power an agent has to modify files, execute commands, or access information, the more important it will be to control exactly what it can do and under what circumstances.
At the same time, it would be wrong to respond to the problem by abandoning artificial intelligence. The same agents that can be used by criminals can provide enormous advantages to developers, researchers, and security teams in combating cybercrime. The battle that is beginning will not be between humans and machines, but between different ways of using increasingly capable machines. Defenders will have to use AI to detect and contain threats while attackers attempt to use similar technologies to increase their speed and reach.
The real challenge will be maintaining the balance between autonomy and control. An artificial intelligence that is too limited loses much of its usefulness, while an agent with too many permissions can become a dangerous tool if it falls under the wrong control. The Aur0ra case shows that this boundary is already being tested in the real world. The next stage of cybersecurity will depend on one fundamental idea: the more capable an artificial intelligence becomes of acting on our behalf, the more rigorously we must decide which actions we are willing to allow it to perform.
If your company is looking to strengthen its technological infrastructure, prevent risks, and improve its protection against cybercrime threats, ITD Consulting can help you with specialized IT, cybersecurity, and technology solutions adapted to the needs of each organization. To learn more about its services or request advice, you can write to [email protected].
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