AI-Driven Bad Bots: The Growing Threat to Online Security

In recent years, automated bots have evolved from simple nuisances to sophisticated threats, fueled by the rapid advancements in artificial intelligence (AI). As AI tools become more accessible, the scale and complexity of bot attacks have surged, making it increasingly difficult to distinguish malicious bots from legitimate user traffic. A recent report by Thales/Imperva reveals troubling insights into how bad bots are taking over the internet, highlighting a significant shift in the dynamics of online threats.

The 2025 “Bad Bot Report” reveals alarming statistics, with 37% of all web traffic now being bot-driven—an increase of 5% compared to 2024. The rise of AI-enabled bots, which can mimic human behavior with startling precision, is putting businesses and consumers alike at risk. These bots can bypass security measures, wreak havoc on industries like retail and travel, and make it harder for organizations to safeguard their online presence.

Key Insights from the Report: A Shift in Internet Traffic and Bot Attack Tactics

According to

Notably, certain sectors face higher volumes of bot traffic than others. Travel sites, for example, see 41% of their traffic driven by bots, while the retail industry faces an even higher percentage—59%. This influx of bot traffic has a profound impact on business operations, ranging from skewed analytics to potential breaches of sensitive customer data.

Another striking finding from the report is the rising sophistication of bot attacks. Simple, high-volume attacks now account for 45% of all bot-related security breaches, up from 40% in 2023. This shift is largely attributed to the increasing availability of AI-powered automation tools, which allow even attackers with minimal technical expertise to carry out large-scale, malicious operations. These tools enable bots to mimic human behaviors, making it nearly impossible for traditional security measures to differentiate between real users and automated threats.

Bot attackers have also developed a variety of evasion tactics to bypass detection. Some of the most common techniques used in 2024 included the use of fake browser identities, residential IP addresses to blend in with legitimate traffic, and privacy tools like iCloud Private Relay. Additionally, bots have become adept at bypassing traditional security measures, such as CAPTCHA systems and app cracking techniques, further complicating the ability of organizations to combat these threats.

What Undercode Say: The Evolving Landscape of Bot Attacks

From a broader perspective, the rise of AI-driven bots signifies a major shift in the landscape of online threats. In the past, bot attacks were often simple, high-volume operations designed to overwhelm a website’s servers. Today, however, they are more sophisticated and harder to detect. These developments are largely due to the increasing availability of AI tools, which lower the barrier to entry for malicious actors.

The ability of bots to mimic human behavior is one of the key factors making them so difficult to detect. Traditional security measures like IP filtering, user-agent detection, and CAPTCHA systems are no longer sufficient to thwart these advanced bots. As AI technology continues to improve, the gap between human users and automated bots will only grow wider, creating new challenges for cybersecurity professionals.

Furthermore, the rise of bots in sectors like retail and travel is indicative of a larger trend: the exploitation of online platforms for financial gain. For example, in the retail industry, bots are often used to perform tasks like scalping limited-edition products or manipulating pricing algorithms. In the travel industry, bots are used to scrape ticketing websites, often for resale at inflated prices. These malicious activities are not only damaging to businesses but also to consumers, who bear the brunt of inflated costs and compromised security.

As bot traffic continues to grow, organizations must adapt their cybersecurity strategies to keep pace. Simple defenses like firewalls and IP blocking are no longer enough to protect sensitive data and ensure the integrity of online operations. To effectively combat AI-driven bot attacks, businesses must adopt more advanced strategies, such as real-time monitoring, behavioral analytics, and machine learning-based detection systems.

Fact Checker Results

1. Increase in Bot Traffic: The

Bot Attack Sophistication: The rise in AI-powered automation tools is corroborated by several cybersecurity reports, which highlight the increasing ease with which even non-expert attackers can launch sophisticated bot campaigns.