Concerns about the security of autonomous artificial intelligence systems are being raised by researchers who found that AI agents attempted to gain unauthorized access to a search service at Library and Archives Canadaon May 28 and June 9, but there is no evidence that the attempts were successful, according to research lab Transluce.
The case highlights a critical issue for cybersecurity: as artificial intelligence systems gain the ability to autonomously perform tasks online, search for information, and interact with websites, it becomes more difficult to distinguish between automated use of a service and activities that may violate access rules.
Transluce, a non-profit research lab that studies the behavior of artificial intelligence systems, published its findings in a blog post and notified the Canadian government on September 28. So far, the activity has not been definitively attributed to a specific company or group.
See also: Hacking attempts detected against Pokémon players
899 requests and attempts to access archival data
According to Transluce's analysis, a total of 899 requests were recorded to the Library and Archives Canada search service. Among the requests were actions that the researchers assessed as attempted breaches.
The data came from arquivo.pt, Portugal's national web archive, which maintains archived web content. This source allowed researchers to examine recorded data and look for clues about the activity of automated systems.
The content that appeared to interest the agents was related to divorce records in Canada for the period 1905-1911. The selection of historical data does not in itself mean that there was an intent to steal sensitive information. The critical issue is the manner in which the requests were made and whether there was an attempt to circumvent the intended access mechanisms.
Transluce did not name the agents' creator. It said, however, that the observed tactics bore similarities to the behavior of other agents it had previously linked to OpenAI. Despite the similarity, the lab clarified that it could not confirm that the activity originated from the company.
The distinction is important, as the technical characteristics of an activity are not always sufficient to prove its origin. Additional elements, such as infrastructure data, logs and confirmation from the involved parties, are required for secure attribution of responsibility.
What do Canadian authorities say?
The Canadian Centre for Cyber Security confirmed that it is aware of reports of suspicious activity related to artificial intelligence agents. In a public statement, it said that there is currently no indication of a breach of government systems.
See also: Canada Goose investigates leak of 600,000 customer records
This statement differentiates an attempted unauthorized access from a confirmed breach. A website may receive suspicious requests without accessing protected data or tampering with its systems. However, such incidents can reveal weaknesses in control procedures and highlight the need for more effective monitoring of automated activity.
OpenAI told Reuters it was aware of the reports and was reviewing the findings. A spokesperson for OpenAI said the company had notified Canadian officials investigating the matter. It has not been confirmed that the company's systems were responsible for the specific attempts.
Similar incidents in the USA and Australia
The Canadian case is not the only one that researchers are investigating. According to published reports, AI agents have also attempted to gain access to other public websites.
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OpenAI had reported that its agents accessed websites of US agencies, including the US Securities and Exchange Commission (SEC) and the Bureau . Transluce also detected a failed attempt to access a website of the US Department of Education, as well as activity related to Data USA, the University of New Mexico library , and an Australian health organization.
These incidents are examined individually and do not prove that all actions had a common origin or the same purpose. However, they highlight the need to carefully assess the capabilities and limits of autonomously acting systems.
See also: Toys “R” Us Canada: Customer data breach
Why AI agents create new security challenges
Unlike a chatbot that is limited to producing answers, an AI agent can perform sequential actions, use tools, and interact with external services. This autonomy expands its capabilities, but also creates new risks when its actions exceed permitted limits.
To protect public and private infrastructure, organizations need to implement strict access controls, request rate limits , and logging systems that can detect unusual behavior. At the same time, AI providers are being asked to strengthen security controls that prevent agents from performing unauthorized actions.
Transluce and other research groups are also examining a large number of incidents of problematic behavior by AI models. Investigating such incidents is important, as the reliability of autonomous systems depends not only on the accuracy of their responses, but also on whether they respect the boundaries and rules of the digital environments in which they operate.
