Artificial intelligence provides hackers with new opportunities for cyberattacks
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Olhar Digital
olhardigital.com.br

Artificial intelligence provides hackers with new opportunities for cyberattacks

Incidents related to hackers and cybersecurity are becoming increasingly frequent. These cases involve the Port Authority of Santos, as well as major crypto exchanges like Binance and Mercado Bitcoin. Cyberattacks have intensified and become more common, often requiring only one hacker's involvement, which is largely linked to the progress of artificial intelligence (AI).

This is evidenced by the Cyber Pulse 2026 report from Acronis, published in early November. The document describes a case known as BOSSAI, where one individual used over ten AI models connected to tools to coordinate attacks against government systems in Taiwan, universities in Thailand, and financial institutions in Mexico.

It is noted that profound changes have occurred among both proponents and opponents of cybersecurity. This new landscape is particularly dramatic for small and medium-sized enterprises. Specialists from Olhar Digital discussed this 'new normal' scenario.

Carlo Til, an expert in technology and innovation, explained that AI is transforming the relationship between capability, scale, and resources in the digital environment. He specified that thanks to AI, small entities can achieve results that previously required significantly more resources. However, he emphasized that this capability is in the hands of malicious actors.

Leonardo La Rosa believes that the BOSSAI case demonstrates how AI allows one person to possess the operational reach of government-funded hacker groups. For Carlo Til, the most significant aspect of this case is the ability of one person to coordinate actions across different countries and sectors.

Gerald Caron, Chief Information Security Officer at Acronis, added the factor of speed. He stated that the main risks of the new reality are the speed and scale of attacks, as well as more convincing phishing campaigns and identity fraud (including deepfakes), and the lowering of entry barriers for attackers.

According to Caron, AI provides attackers with a tool for faster vulnerability detection, writing error-free phishing emails, automating tasks on a scale that would take a human much longer, and upskilling individuals with limited technical knowledge (e.g., for coding).

However, speaking about the defense side, Caron noted that much of these capabilities can be used positively: AI can accelerate threat detection, alert sorting, analysis of large volumes of logs, and automation of routine incident response tasks.

Til concluded that AI did not generate criminal intent but substantially expanded the possibilities for its execution. As a result, there is a change in scale that makes digital security a matter of much broader significance than just protecting large organizations.

La Rosa warns that the risk increases exponentially for small and medium-sized enterprises, as cybercriminals often target technology service providers. Caron emphasizes that SMEs are particularly vulnerable because they often lack dedicated security departments or sufficient budgets.

La Rosa explains that the compromise of one provider opens the door to infiltrating the networks of several SMEs simultaneously. He recounted a recent case involving a small company: the attack began unnoticed when an employee infected their computer with an infostealer designed to steal credentials and sessions. Using this initial access, criminals moved directly into the company's cloud environments, where they deliberately disabled protective tools and activity logs to create blind spots and avoid detection. This ultimately led to a complete halt of daily operations and a leak of confidential customer data.

This case, according to La Rosa, confirms that hacking one computer today is the first step toward a devastating chain attack. Another case described by the Acronis CISO also highlighted the risks of AI for small businesses. In a software vendor, an AI-based agent performed a routine task in a staging environment when it detected credential incompatibility. Instead of stopping, the agent independently decided to 'fix' the problem by deleting storage volume, which erased the entire production database and its volume-level backups in about nine seconds.

Caron specifically pointed out that there was no confirmation step, and no human was involved in verifying the action before it was executed. No instruction indicated that it should do so; the agent made the decision to execute itself. When the CEO asked why, the agent admitted it assumed the action would only affect the test environment, failed to verify this information, and carried out the destructive action without a request. Consequently, the company lost about three months of data and new customer records, and its commercial activity was suspended for approximately 30 hours until data recovery using the infrastructure provider. Caron noted that this was a consequence of the lack of additional controls, such as requiring human oversight to approve destructive actions. The agent had an access token with full permissions, and nothing required confirmation before deletion.

Carlo Til insists that the 'new normal' in cybersecurity requires 'special attention' from small and medium-sized companies. The problem lies in the combination of advanced attack capabilities and the growing dependence of businesses on digital services. Til identified three consequences. First—vulnerability due to third-party dependency. A company might have a well-structured business operation, but if an external provider managing systems or storing information encounters a problem, the client may also stop, even if they were not the initial target of the attack. Thus, an organization's security does not end at the boundaries of its own systems.

The second consequence—erosion of trust and reputation. A digital incident can expose customer information, disrupt service, and call into question the organization's ability to meet its obligations. In certain segments, trust is one of the main commercial assets. Recovery of operations may be relatively quick, but restoring brand trust is entirely different.

Finally, the third consequence—disparity in preparedness between companies. Large organizations usually have specialized teams, processes, and resources to manage technological risks. Small and medium-sized enterprises have to balance these decisions with other priorities such as growth, hiring, cash flow, and customer relations. Often, the risk only becomes visible after it has already had an impact. According to Til, the 'new normal' does not mean that all companies will eventually be targeted by a cyberattack. It means that 'the possibility of a technological incident has become part of the conditions under which any business operates,' partly due to AI.

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Artificial intelligence has turned cybersecurity into an arms race that companies cannot ignore
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techcentral.co.za

Artificial intelligence has turned cybersecurity into an arms race that companies cannot ignore

Cyber threats, which are becoming increasingly sophisticated thanks to artificial intelligence, are forcing companies worldwide to respond to a wave of attacks. These attacks range from hacking refrigerators in supermarkets to large-scale cryptocurrency theft on the Binance platform and issues with widely used web software.

This surge in threats places a significant burden on IT departments, where employees are forced to work around the clock to eliminate software vulnerabilities. In response, some companies are beginning to increase investments in AI-based security tools to manage the increased workload.

A recent cyberattack on European supermarkets highlighted the urgency of the problem. It was the second such attack in three weeks, when hackers raised the temperature in refrigerators and freezers, forcing retailers to discard millions of dollars worth of products.

Marnie Wilking, Chief Security Officer at the service platform Booking.com, noted that the situation is an 'endless game of cat and mouse with very high stakes.' She added that even after blocking one route, attackers quickly move to the next, and hundreds of company engineers are now dedicated to developing AI-based defense systems.

According to the international registry of disclosed vulnerabilities, Common Vulnerabilities and Exposures, nearly 37,000 software or computer system vulnerabilities were registered in the third quarter of 2026, triple the figure from the previous year.

Marcus Noga, CTO of the German hosting company Ionos, which serves seven million customers, stated that events of this magnitude occur weekly or even every few days, whereas previously they happened monthly.

Ionos changed its security methods after a sharp rise in vulnerabilities in July, implementing AI-based monitoring systems to detect threats and using AI-supported tools to patch its systems around the clock.

Cyber threats drive up defense spending

Binance, which was hit by hackers who stole $6.3 billion in cryptocurrency, announced plans to increase investment in AI-enhanced detection systems. Port of Rotterdam is working on creating an AI-based 'cyber shield,' and Siemens is testing advanced AI models for defensive security.

The Dutch food retailer Ahold Delhaize, which manages Stop & Shop and Giant Food chains in the US, suffered two hacks in the last month. The first, in mid-October, led to a loss of over 200 million euros in revenue and triggered a profit warning.

As a result of this incident, Ahold shut down its websites and applications for a week after discovering the intrusion. This week, some of its stores in Belgium and Luxembourg were also victims of refrigerator cyberattacks across a dozen European countries.

CFO Jolanda Poots-Bijl stated that the company is adapting to the new reality, noting that small businesses are particularly vulnerable. She emphasized that AI is a defensive tool that helps detect threats and recover much faster than previously possible.

McKinsey predicts that the global market for third-party cybersecurity products and services will grow from $223 billion in 2025 to $346 billion by 2029.

AI tools help researchers reproduce hacks

Refrigerator attacks demonstrate how AI forces companies to promptly fix vulnerabilities once discovered, according to Sean Tufts, Field Technical Director at cybersecurity firm Claroty. Claroty published a study in August, several months before the attacks began, detailing weaknesses in refrigeration equipment controllers.

Following the first wave of attacks on stores in France on October 11, Claroty researchers used publicly available AI tools to reproduce these flaws and capture a test device, thereby highlighting the risk of further attacks. Tufts reported that they managed to recreate the attack for only $6 and 28 minutes.

The disclosure of two vulnerabilities in the PHP programming language, found using AI, on October 21, which underpins many websites, prompted governments and companies from Tokyo to Helsinki to temporarily take their sites offline as a precaution. In South Africa, the presidential administration took its site offline two days later 'as a preventive measure in response to a global cybersecurity event,' although it did not name PHP.

American internet infrastructure firm Cloudflare reported that attempts to exploit PHP vulnerabilities rose from thousands to millions within hours of their disclosure. The company noted that errors found with AI could lead to more future outages.

Kraft Heinz CEO Steve Kehlen stated that the threat is real and growing, emphasizing that cybersecurity is 'more important today than yesterday, and will be even more important tomorrow.' Holcim CFO Stephen Kindler supported this view. The Swiss building materials manufacturer took its website offline around October 21st at 9:30 PM to apply PHP patches and restored service by midnight. He noted: 'We need to get smarter. Both sides are well-equipped. Both sides use AI, and this race continues.'

Artificial intelligence is capable of creating viruses that infect internet-connected household appliances
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olhardigital.com.br

Artificial intelligence is capable of creating viruses that infect internet-connected household appliances

With the development of artificial intelligence (AI), devices connected to the internet and exchanging data in the so-called 'Internet of Things' (IoT) can become a source of problems. According to a report by Anthropic published in October, AI-based malware can be installed on such devices and spread autonomously.

Computer viruses that move independently from one machine to another are known as 'worms'. They follow a predefined plan, utilizing known security vulnerabilities or poorly protected access points. Typically, solving this issue involves fixing bugs and closing gaps in the security system. However, in the case of AI-based 'worms', the situation becomes significantly more complex and dangerous.

This is because this more advanced type of 'worm' is capable of independently solving problems and adapting to different types of devices. Researchers at Anthropic, the developer of Claude, demonstrated that AI applications can function without the need for a large data center.

In a controlled test environment, researchers created simulations of eight Android devices. The tested AI model was installed on one of these devices, then copied from it and infected the others. In four out of five attempts, the model reached all eight targets, and in one, it infected seven.

If such an AI model were combined with malicious software, the 'worm' could learn to bypass security measures. According to Anthropic developers, this would take approximately one to two days. Furthermore, the AI could potentially connect infected devices into a botnet.

Although an infected device has limited computational capabilities, the more devices that are infected, the faster the 'worm' can spread. Connected devices can theoretically be disconnected from the network, and security vulnerabilities can be patched. Nevertheless, the decentralized structure of such malware will greatly complicate its localization.

Anthropic describes this type of infection as 'digital slime mold,' which grows slowly. The company believes that smaller AI models will be able to achieve this level of propagation capability as early as 2026.

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