Executive Summary: The Shifting Landscape of Internet Traffic and the Rise of AI-Driven Bot Threats
The digital realm is undergoing a profound transformation, marked by a significant surge in automated activity that now constitutes the majority of all internet traffic. This shift, documented in recent cybersecurity reports, signals a critical juncture in the evolution of the online ecosystem.1 At the heart of this change is the increasing sophistication and prevalence of bots, particularly those leveraging the power of Artificial Intelligence (AI). These AI-driven bots are not merely benign automated tools; they represent a growing threat to businesses and internet users worldwide, enabling a new era of more sophisticated and scalable cyberattacks.1 This report delves into the multifaceted implications of this trend, exploring how AI tools are being weaponized to carry out malicious activities ranging from widespread spam campaigns to crippling Distributed Denial-of-Service (DDoS) attacks, and the particular risks faced by vulnerable industries. Furthermore, it examines the potential impact of this evolving threat landscape on specific regions, such as Norfolk, Virginia, and outlines crucial strategies for organizations to bolster their defenses against these intelligent adversaries. The need for proactive and adaptive cybersecurity measures has never been more critical as automated traffic, much of it with malicious intent, redefines the contours of the internet.
The Dominance of Bots: Analyzing Internet Traffic Composition in 2024 and Beyond
The year 2024 marked a watershed moment in the history of internet traffic, as automated bot activity surpassed human-generated traffic for the first time in a decade, accounting for 51% of all web traffic.1 This dramatic shift underscores the increasing reliance on automation in the digital sphere, but also highlights a growing concern: the proliferation of malicious bots. According to a report by the cybersecurity firm Imperva, bad bots alone constituted 37% of all internet traffic in 2024, a notable increase from 32% in the preceding year.1 This surge in malicious automated activity indicates a significant escalation in the cyber threat landscape.
Other analyses corroborate the dominance of non-human traffic, albeit with slightly varying figures. Imperva's 2024 Threat Research report revealed that nearly 50% of internet traffic originated from non-human sources, with bad bots comprising almost one-third of the total.4 Similarly, data from 2023 indicated that bots accounted for 49.6% of all internet traffic.5 Akamai's findings from June 2024 reported that 42% of overall web traffic was generated by bots, with a concerning 65% of these being malicious.8 Looking ahead, projections suggest an even more significant dominance of bots. DesignRush data from February 2025 pointed towards a potential 80% of web traffic being attributed to bots 9, while F5's 2025 report estimated that over half of all website and mobile API activity is already from bots.10 Some statistics from early 2025 even claimed that bad bots accounted for as much as 73% of all internet traffic.11 Interestingly, regional variations exist, with Australia reporting 36.4% of total internet traffic being from bots (both beneficial and harmful) in 2024.12
It is crucial to distinguish between the various types of automated traffic. While some bots serve legitimate purposes, such as search engine crawlers that index web content and other automation tools that facilitate online functionality, a growing proportion of internet traffic is attributed to "bad bots".1 These malicious bots are specifically designed to carry out harmful activities, including spamming, data theft, and service disruption. The increasing sophistication of these bad bots is a major concern. They are becoming more advanced and evasive, often mimicking human behavior to circumvent detection mechanisms.4 A key factor driving this increase in both the volume and sophistication of bad bots is the rise of AI and Large Language Models (LLMs).1 These technologies have significantly simplified the creation and deployment of both simple and advanced malicious bots, contributing to the escalating threat landscape. The consistent trend across various reports indicates a significant and growing dominance of non-human traffic, with a substantial and increasing portion being malicious. This evolving composition of internet traffic presents a fundamental challenge for cybersecurity efforts, demanding more sophisticated strategies to accurately identify and effectively mitigate these automated threats.
AI as an Enabler: How ChatGPT and Gemini are Fueling Sophisticated Cyberattacks
The accessibility of advanced AI tools has fundamentally altered the landscape of cyber threats by significantly lowering the barrier for entry for malicious actors.1 Previously, launching sophisticated cyberattacks required a high degree of technical expertise and resources. However, the emergence of user-friendly AI platforms like ChatGPT and Google's Gemini has democratized the ability to create and deploy malicious bots at scale.1 This ease of access to powerful AI capabilities has led to a rapid evolution of automated threats, which are becoming increasingly sophisticated, evasive, and widespread.1 The simplification of bot development through generative AI means that even individuals with limited technical skills can now orchestrate attacks that were once the domain of highly skilled cybercriminals. This trend is further amplified by the growing "Bots-as-a-Service" (BaaS) ecosystem, which provides readily available commercialized bot services, making it even easier for less sophisticated actors to launch attacks.2
Specific examples illustrate how these AI tools are being actively leveraged for malicious purposes. Cybersecurity researchers have noted that widely used AI tools, including ChatGPT and Gemini, are being employed to carry out cyberattacks.1 These tools can be utilized to create and execute various types of attacks, such as spamming campaigns designed to distribute malware or steal sensitive information, and Distributed Denial-of-Service (DDoS) attacks aimed at overwhelming target systems and knocking them offline.1 Beyond these more common attack vectors, AI is also being used to automate phishing campaigns, enabling the creation of highly personalized and convincing fraudulent communications that can bypass traditional security measures and effectively mimic human behavior to evade detection.13 Government-backed threat actors have also been observed experimenting with Gemini to support various stages of their attack lifecycle. These include researching potential attack infrastructure, conducting reconnaissance on target organizations, investigating publicly known vulnerabilities, developing malicious payloads, and assisting with the creation of malicious scripts and evasion techniques.14 Furthermore, AI can be employed to generate the core components of attacks, such as malicious code, or to create supporting materials like fraudulent emails and fake online content designed to facilitate social engineering.15 Attackers are also using AI to analyze the outcomes of their unsuccessful attempts, allowing them to scrutinize their failures and refine their techniques to evade security measures with greater efficiency in subsequent attacks.2 The capabilities extend to writing malware, creating polymorphic malware that can mutate to avoid detection, and generating elaborate and more human-sounding phishing emails to increase their success rate.16 AI is even being used to create fake social media profiles and spread misinformation, often as a precursor to more targeted attacks.17 This widespread adoption of AI by cybercriminals signifies a major shift in the threat landscape, demanding a corresponding evolution in defensive strategies.
The Anatomy of AI-Powered Bot Attacks: Spamming and Distributed Denial-of-Service (DDoS)
The integration of AI into malicious bot activities has led to a significant enhancement in the effectiveness and scale of cyberattacks, particularly in the realms of spamming and Distributed Denial-of-Service (DDoS) attacks.
AI tools, most notably Large Language Models like ChatGPT, have provided threat actors with the ability to rapidly generate highly convincing and targeted phishing emails.18 Unlike traditional spam campaigns that often rely on generic messages sent in bulk, AI can analyze linguistic patterns, the typical formats of company emails, and even the social media profiles of individuals to craft highly personalized phishing messages.17 These AI-powered systems can even emulate the writing styles of specific individuals, such as CEOs or colleagues, making such emails sound alarmingly authentic and increasing the likelihood of recipients falling victim to the deception.19 A prime example of this AI-driven evolution in spamming is the AkiraBot framework. This sophisticated Python-based tool utilizes OpenAI to generate custom outreach spam messages that are specifically tailored to the content of the targeted website.20 By feeding text scraped from the website into a prompt for the OpenAI chat API, AkiraBot can create unique marketing messages that are more likely to bypass traditional spam filters due to their individualized nature.20 Furthermore, AkiraBot is not limited to just generating convincing content; it also incorporates sophisticated CAPTCHA bypass mechanisms and network detection evasion techniques, enabling it to spam websites at a significant scale.20 Beyond email, AI is also being used to create fake social media profiles for the purpose of spreading misinformation, conducting romance scams, and even influencing public discourse.17 The use of AI-generated voice cloning and deepfake technologies further amplifies the potential for harm in social engineering and scam campaigns, allowing attackers to impersonate trusted individuals with alarming accuracy.17
In the realm of Distributed Denial-of-Service (DDoS) attacks, AI is playing an increasingly critical role in enhancing the capabilities of attackers. Cybercriminals are leveraging AI to analyze the outcomes of their DDoS attempts, allowing them to scrutinize what worked and what didn't, and subsequently refine their techniques to evade security measures with greater efficiency in future attacks.2 AI can also enable attackers to more rapidly identify vulnerabilities in an organization's DDoS protection infrastructure, making it easier to bypass defenses and disrupt essential online services.25 Furthermore, AI-powered automation is reducing the resources and manpower traditionally required to execute large-scale DDoS attacks, contributing to the rise and accessibility of DDoS-for-hire services, which are becoming cheaper and more readily available.25 The intelligence afforded by AI also allows for better coordination of attack timing and the strategic use of multiple attack vectors in DDoS campaigns, increasing their overall effectiveness.25 AI-driven automation can also help expand and manage the botnet networks used in DDoS attacks more efficiently, enabling attackers to scale their operations across thousands of compromised devices.25 In some instances, AI can even be used to launch highly targeted DDoS attacks, requiring fewer compromised devices or connections to significantly impact services, and can dynamically adjust attack strategies in real-time to react to the defense mechanisms implemented by victims.26 The increasing frequency and intensity of DDoS attacks reported in recent years 26 suggest that these AI-enhanced techniques are already being actively employed across various sectors, including financial services, gaming platforms, and telecommunications.
Targeting the Vulnerable: Industries at High Risk from Bad Bot Attacks
Certain industries, due to the nature of the data they handle and the services they provide, are particularly susceptible to the evolving threats posed by bad bot attacks, especially those enhanced by AI.
The financial services sector faces a heightened risk of various bot-driven attacks. AI-driven bots are increasingly adept at orchestrating large-scale account takeover (ATO) attacks, exploiting vulnerabilities in customer account security measures to gain unauthorized access. This can lead to significant financial losses, data breaches, and a loss of customer trust.38 Furthermore, the rise in online banking and digital payments has made the sector a prime target for payment card fraud, with attackers often using bots to test stolen card details or conduct brute-force attacks on payment processing systems.38 Financial institutions also remain prime targets for sophisticated Denial-of-Service (DoS) attacks, which can disrupt critical services and damage customer confidence.38 A significant vulnerability lies in the Application Programming Interfaces (APIs) used by financial platforms to connect various services and facilitate transactions. These APIs are increasingly being targeted by bot operators seeking to extract sensitive data or initiate unauthorized transactions.39 Bad bots are also exploiting business logic vulnerabilities within these APIs to perform transaction fraud, web scraping for competitive intelligence, and large-scale data harvesting.2 Common bot attack methods employed against financial institutions include card cracking, which involves verifying stolen credit card numbers, and credential stuffing, where compromised username and password combinations are used to attempt unauthorized logins.41 Large financial enterprises, particularly those with complex and extensive API ecosystems, face a disproportionately higher risk of these sophisticated attacks.39
The healthcare industry also presents a significant target for bad bot attacks. The increasing adoption of the Internet of Medical Things (IoMT) has introduced new vulnerabilities, as these connected medical devices can be susceptible to malware infections and Distributed Denial-of-Service (DDoS) attacks, potentially compromising patient data privacy and the functionality of critical medical equipment.44 Inadequate encryption protocols, weak authentication methods, and irregular firmware updates in many IoMT devices are key factors contributing to these vulnerabilities.44 Bot attacks on healthcare systems can lead to unauthorized access to sensitive patient information, resulting in severe breaches of privacy and confidentiality. These attacks can also cause service disruptions by overwhelming system servers and networks, impacting critical healthcare operations such as access to electronic medical records and patient monitoring systems.45 The financial implications for healthcare organizations can be substantial, including the costs associated with mitigating attacks, restoring systems, and potential regulatory penalties.45 The healthcare sector is particularly attractive to cybercriminals due to the vast amount of personal and medical data it holds.46 Even seemingly innocuous technologies like healthcare chatbots have been identified as potential vulnerabilities, with researchers discovering flaws that could be exploited to access sensitive patient information.47
The e-commerce sector is another prime target for bad bot activity. These businesses are highly susceptible to a range of bot-driven threats, including credential stuffing and account takeovers, which can compromise customer accounts and lead to fraudulent purchases.49 Data scraping bots pose a significant risk by stealing proprietary content, pricing information, and user data, which can be used by competitors for unfair advantages.42 E-commerce platforms are also vulnerable to denial-of-service attacks that can disrupt online sales and damage customer satisfaction, as well as ad fraud, where bots generate fake clicks on advertisements, draining advertising budgets.49 Inventory hoarding by sophisticated bots can deplete stocks of high-demand items, preventing legitimate customers from making purchases and leading to lost sales and brand damage.49 AI-optimized bots are becoming increasingly adept at mimicking human behavior, which can skew website analytics, leading to inaccurate business intelligence and poor decision-making.49 Payment fraud, including credit card fraud and gift card abuse, is another significant threat facilitated by bots that can bypass traditional security measures.43 Furthermore, vulnerable APIs on e-commerce websites can be exploited by bots for fraudulent transactions and the exfiltration of sensitive customer data.41
The Curious Case of Bytespider: Understanding its Purpose and Potential for Malicious Use
Bytespider is a web crawler operated by ByteDance, the Chinese technology company that owns the popular social media platform TikTok.1 Its primary legitimate function is believed to be the collection of vast amounts of data from the internet to train ByteDance's Large Language Models (LLMs), including Doubao, which is positioned as a competitor to OpenAI's ChatGPT.52 This data is crucial for improving the performance and capabilities of these AI models. Bytespider also serves to index web content for search engines and gather data that can be used to refine content recommendation algorithms across ByteDance's various platforms.53 Reports indicate that the volume of traffic generated by Bytespider is exceptionally high, significantly exceeding that of other prominent AI crawlers operated by companies like OpenAI and Anthropic.54
Despite its legitimate purpose in the realm of AI development, the Imperva Bad Bot Report 2025 identified Bytespider Bot as being responsible for a staggering 54% of all AI-enabled attacks observed in 2024.1 This finding raises serious concerns about the potential for malicious exploitation of this web crawler. One of the reasons for its prevalence in attacks is its widespread recognition as a legitimate tool, making it an "ideal candidate for spoofing" by cybercriminals who can disguise their malicious bot traffic to appear as if it originates from Bytespider.1 Furthermore, there have been reports suggesting that Bytespider does not always adhere to the rules outlined in websites' robots.txt files, which are intended to guide the behavior of web crawlers. This disregard for website crawling etiquette, coupled with its aggressive scraping behavior, has led to privacy concerns and the potential for overloading the infrastructure of smaller websites with excessive data requests.54 The sheer volume of traffic generated by Bytespider, even for legitimate data collection purposes, can place a significant strain on website servers.55 Due to these concerns about its intrusive behavior and its prominent role in AI-enabled attacks, some web administrators and cybersecurity professionals have recommended blocking Bytespider to protect their websites and infrastructure.54 The combination of its legitimate function as a data-gathering tool for AI training and its apparent widespread use in malicious cyberattacks highlights the complex and evolving nature of bot traffic on the internet.
Evasion and Adaptation: The Evolving Sophistication of AI-Powered Bots
A significant challenge in combating malicious bot activity is the increasing sophistication and adaptability of these automated threats, often driven by advancements in AI. Bad bots are no longer simple scripts; they are becoming increasingly adept at mimicking human behavior, making their detection and prevention a formidable task.4 These advanced bots can closely emulate the actions of legitimate users, navigating websites, clicking on elements, and filling out forms in ways that are difficult for traditional security systems to distinguish from genuine human interactions.5 The integration of AI into these bots allows them to learn and adapt to the threat detection techniques employed by security solutions in real-time, constantly evolving their tactics to remain undetected.63 This adaptive capability extends to web scraping bots, which can now evade standard bot-detection methods like CAPTCHAs and rate limiters with greater success.63
One of the key evasion techniques employed by sophisticated bots is the use of residential proxies. Bad bot traffic originating from residential Internet Service Providers (ISPs) is on the rise, allowing malicious bots to blend in more seamlessly with legitimate user traffic patterns, as these IP addresses are typically associated with genuine human users.6 Sophisticated cybercriminals are further enhancing their evasion capabilities by combining the use of mobile user agents, which identify the traffic as coming from a mobile device, with residential or mobile ISPs. This combination makes the bot traffic appear even more authentic and harder to flag as malicious.7 In fact, bots are increasingly masquerading as mobile user agents, and this type of traffic now constitutes nearly half of all bad bot activity observed on the internet.6 The AI-powered spamming framework AkiraBot provides a concrete example of these advanced evasion techniques. It utilizes browser fingerprinting, a method of collecting and analyzing unique attributes of a user's browser and device, to make its web traffic appear indistinguishable from that of a legitimate end user.20 This includes manipulating various browser attributes and behaviors to evade detection. Furthermore, bot operators are employing a technique known as "harvesting," where they obtain stolen digital fingerprints – essentially copies of real user sessions and browser data – which can then be loaded into bot frameworks to almost perfectly imitate a genuine user browsing the internet. This level of sophistication poses a significant challenge to even advanced bot mitigation providers, as the bots are now exhibiting behaviors that closely mirror those of legitimate human users.58 The continuous advancement in these evasion and adaptation techniques underscores the need for cybersecurity solutions to evolve at an equally rapid pace to effectively counter these intelligent automated threats.
Norfolk, Virginia: Implications of the Bot Traffic Surge for Local Users and Businesses
Norfolk, Virginia, with its unique economic landscape, faces specific implications from the increasing prevalence of bot traffic and the rise of AI-driven cyberattacks. Understanding the key industries in the region is crucial to assessing these potential impacts. Norfolk holds a strategically important position as a major military center, serving as the home to Naval Station Norfolk, the largest naval base in the world, as well as one of NATO's two Strategic Command headquarters.64 The city is also a significant contributor to the Port of Virginia, making it a vital hub for maritime, transportation, and logistics industries.64 Beyond these core sectors, Norfolk boasts a diverse economy that includes advanced manufacturing, business, management, and professional services, information technology, healthcare, life sciences, biotechnology, and insurance.66 Additionally, tourism is an increasingly important component of the city's economic activity, drawing visitors to its waterfront and historical sites.65
The increasing sophistication of AI-powered bot attacks presents a range of potential threats to these key industries in Norfolk. The military sector, with its sensitive information and critical infrastructure, could be particularly vulnerable to sophisticated social engineering attacks targeting personnel with access to classified data or control over essential systems.15 AI-generated deepfakes and highly personalized phishing campaigns could be used to deceive military personnel into divulging sensitive information or granting unauthorized access. The maritime and transportation industries, which rely heavily on online logistics and communication systems, face the risk of disruption from DDoS attacks that could cripple their operations, as well as targeted API exploits that could compromise supply chain management and tracking systems.1 Healthcare organizations in Norfolk could experience an increased risk of data breaches targeting the vast amounts of patient records they maintain, as well as vulnerabilities in the growing number of connected medical devices they utilize.44 E-commerce businesses in the region, including retailers and online service providers, are susceptible to inventory hoarding, price scraping, and fraudulent transactions driven by sophisticated bots, potentially impacting their profitability and customer satisfaction.42 Small businesses in Norfolk, which often lack the robust cybersecurity infrastructure of larger corporations, are increasingly becoming prime targets for cyberattacks, including those leveraging AI-powered bots, potentially leading to significant financial losses and damage to their reputation.74 Even local government entities are not immune, as they could be targeted for disruption of public services or the theft of sensitive citizen data.76
Despite these potential threats, the Hampton Roads region, which includes Norfolk, has a growing and active cybersecurity sector, with various initiatives underway to address these evolving challenges.79 This includes educational programs at local universities like Old Dominion University, which has been awarded funding to help small businesses in Virginia strengthen their cybersecurity defenses.74 The region also hosts cybersecurity conferences and roundtables, fostering collaboration between experts from the business community, government, and academia.82 The presence of military installations has also cultivated a strong base of cybersecurity expertise in the area.83 These local resources and initiatives provide a foundation for building resilience against the rising tide of bot traffic and AI-driven cyber threats in Norfolk and the broader Hampton Roads region.
Building a Robust Defense: Strategies and Solutions for Mitigating Bad Bot Attacks
Mitigating the risks posed by the increasing prevalence of bad bots, especially those powered by AI, requires a multi-faceted and adaptive defense strategy. Organizations need to implement a combination of advanced bot management solutions, leverage AI-powered cybersecurity tools, and prioritize employee awareness training and incident response planning.
Advanced bot management solutions employ a range of techniques to identify and block malicious automated traffic. Device and browser fingerprinting involves collecting and analyzing unique attributes of a user's device to create an identifier that helps distinguish bots from humans.89 Adaptive rate limiting and throttling restrict the number of requests a user or IP can send within a specific time frame, preventing excessive traffic from overwhelming systems.89 Traditional CAPTCHAs are becoming less effective against AI-powered bots, so organizations should consider implementing CAPTCHA alternatives such as behavioral analysis, which tracks user interactions like mouse movements and scrolling patterns, invisible CAPTCHAs that work in the background, and proof-of-work challenges that require computational effort.89 Comprehensive behavioral analysis and anomaly detection systems can identify unnatural bot activity patterns, such as rapid form completions or precise cursor movements.89 Employing static analysis tools that examine web requests and header information, along with challenge-based approaches that proactively check if traffic originates from human users, can also be effective.91 Many bot mitigation services utilize a combination of these techniques – static analysis, challenge-based methods, and behavioral analysis – to thoroughly investigate each visitor and assign a risk score.91 Continuous monitoring of web analytics for abnormal traffic spikes, unusual bounce rates, and activity during off-peak hours can provide early indicators of bot attacks.91 Deceptive techniques like honeypots, which are hidden form fields or pages designed to trap bots, can also be valuable.90 Analyzing user agent strings and IP reputation can help block known malicious actors.90 For websites and applications, implementing JavaScript-based detection and device fingerprinting can further enhance security.90 Finally, deploying Web Application Firewalls (WAFs) with integrated bot mitigation capabilities provides a robust layer of defense.90 For organizations hosting their own infrastructure, real-time monitoring of network traffic and the ability to block known malicious IP addresses are crucial first steps.96 Gaining comprehensive visibility into all APIs and ensuring they are adequately secured is also essential, as APIs are often targeted by sophisticated bot attacks.94
Leveraging the power of AI itself is becoming increasingly important in the fight against AI-powered cyberattacks. Organizations should consider deploying comprehensive cybersecurity platforms that offer continuous monitoring, intrusion detection, and endpoint protection, often incorporating User and Entity Behavior Analytics (UEBA) to establish baselines of normal activity.15 Utilizing anomaly detection tools that can identify deviations from these baselines is crucial for spotting suspicious bot activity.63 Implementing AI-native cybersecurity solutions that can analyze vast datasets and identify patterns indicative of AI-powered attacks provides a significant advantage.15 AI can also be used to automate various security-related tasks, including continuous monitoring, threat analysis, security patching, and incident remediation, improving overall efficiency and response times.15 AI-driven threat intelligence platforms can provide proactive defense by identifying emerging threats and allowing organizations to prepare accordingly.97 In the event of an attack, AI-powered systems can be used for automated incident response, quickly isolating affected systems and implementing countermeasures.99 For organizations developing their own AI models, implementing AI model watermarking and fingerprinting techniques can help detect and trace unauthorized use or modifications.100
Beyond technological solutions, employee awareness training and robust incident response planning are critical components of a comprehensive defense strategy. Employees should be educated about the realistic and convincing nature of AI-enabled social engineering attacks, including sophisticated phishing campaigns and deepfake audio and video.15 Training teams to recognize suspicious activity or unusual outputs related to AI/ML-based systems is also essential.15 Organizations must develop a comprehensive incident response plan that outlines the procedures, steps, and responsibilities for handling cyberattacks, including preparation, detection, containment, eradication, and recovery.15 Regular security assessments, including penetration testing and vulnerability scanning, are necessary to identify weaknesses that could be exploited by attackers.15 Implementing strong authentication measures, such as multi-factor authentication (MFA) and the use of strong, unique passwords for all accounts, is a fundamental security practice.63 Maintaining and regularly updating all software and systems is crucial for patching known vulnerabilities that attackers could exploit.46 Securing networks with Virtual Private Networks (VPNs) and implementing secure practices for mobile devices are also important preventative measures.101 Finally, collaborating with cybersecurity experts and staying informed about the latest threats and defense strategies is essential in the ever-evolving landscape of cyber threats.98
Conclusion: Navigating the Era of Intelligent Bots – A Call for Proactive Cybersecurity
The findings of this report underscore a significant shift in the digital landscape, with automated bot traffic now constituting the majority of internet activity. This transformation is largely fueled by the increasing sophistication and accessibility of AI tools, which are being readily adopted by cybercriminals to launch more effective and scalable attacks. Industries such as financial services, healthcare, and e-commerce face particularly acute vulnerabilities due to the sensitive data they handle and their reliance on online platforms. Regions like Norfolk, Virginia, with its diverse economy encompassing military, maritime, healthcare, and small businesses, are also susceptible to a wide range of AI-powered bot threats, potentially impacting critical infrastructure and local commerce.
To effectively navigate this era of intelligent bots, organizations must adopt a proactive and multi-layered cybersecurity strategy. This includes implementing advanced bot management technologies that go beyond traditional methods to detect and mitigate sophisticated automated threats. Leveraging the power of AI itself for threat detection, anomaly analysis, and automated response is becoming increasingly crucial. Furthermore, comprehensive employee awareness training is essential to educate individuals about the evolving tactics of AI-powered social engineering attacks. Robust incident response planning is also vital to minimize the impact of successful breaches and ensure business continuity. Continuous vigilance, adaptation to the evolving threat landscape, and collaboration with cybersecurity experts are no longer optional but are fundamental requirements for safeguarding digital assets and maintaining trust in the online environment. Prioritizing cybersecurity and diligently implementing the recommended mitigation strategies will be essential for businesses and individuals alike to effectively navigate the challenges presented by this new era of intelligent bots.
Works cited
Artificial Intelligence Fuels Rise of Hard-to-Detect Bots That Now Make up More Than Half of Global Internet Traffic, According to the 2025 Imperva Bad Bot Report - Business Wire, accessed April 15, 2025, https://www.businesswire.com/news/home/20250415432215/en/Artificial-Intelligence-Fuels-Rise-of-Hard-to-Detect-Bots-That-Now-Make-up-More-Than-Half-of-Global-Internet-Traffic-According-to-the-2025-Imperva-Bad-Bot-Report
Artificial Intelligence fuels rise of hard-to-detect bots that now make up more than half of global internet traffic, according to the 2025 Imperva Bad Bot Report - Thales, accessed April 15, 2025, https://www.thalesgroup.com/en/worldwide/defence-and-security/press_release/artificial-intelligence-fuels-rise-hard-detect-bots
Bot Traffic Overtakes Human Activity as Threat Actors Turn to AI - Infosecurity Magazine, accessed April 15, 2025, https://www.infosecurity-magazine.com/news/bot-traffic-human-activity-threat/
2024 Bad Bot Report | Resource Library - Imperva, accessed April 15, 2025, https://www.imperva.com/resources/resource-library/reports/2024-bad-bot-report/
Half of online traffic in 2024 generated by bots, report finds - SecurityBrief UK, accessed April 15, 2025, https://securitybrief.co.uk/story/half-of-online-traffic-in-2024-generated-by-bots-report-finds
How bad bots are dominating Internet traffic in 2024 - Marketing Tech News, accessed April 15, 2025, https://www.marketingtechnews.net/news/how-bad-bots-are-dominating-internet-traffic-in-2024/
Bots Now Make Up Nearly Half of All Internet Traffic Globally | Thales Group, accessed April 15, 2025, https://www.thalesgroup.com/en/worldwide/security/press_release/bots-now-make-nearly-half-all-internet-traffic-globally
Bots Compose 42% of Overall Web Traffic; Nearly Two-Thirds Are Malicious, Reports Akamai - PR Newswire, accessed April 15, 2025, https://www.prnewswire.com/news-releases/bots-compose-42-of-overall-web-traffic-nearly-two-thirds-are-malicious-reports-akamai-302180377.html
Data Confirms 80% of Web Traffic Is Now Bots— Did Elon Forget to Rename Twitter Bot? - DesignRush, accessed April 15, 2025, https://www.designrush.com/uploads/New-Data-on-AI-Bots-Web-Traffic-in-2025.pdf
2025 Advanced Persistent Bots Report | F5 Labs, accessed April 15, 2025, https://www.f5.com/labs/articles/threat-intelligence/2025-advanced-persistent-bots-report
Bad Bot Traffic Continues To Surge Across The Internet in 2025 - Tech Business News, accessed April 15, 2025, https://www.techbusinessnews.com.au/blog/skyrocketing-bad-bot-traffic-continues-across-the-internet-in-2024/
Bad Bot Traffic Levels Rise For The Fifth Consecutive Year - Tech Business News, accessed April 15, 2025, https://www.techbusinessnews.com.au/blog/bad-bot-traffic-levels-rise-for-the-fifth-consecutive-year/
How DeepSeek, ChatGPT, and Gemini Are Shaping Cybersecurity - Netdata | Blog, accessed April 15, 2025, https://blog.netdatanetworks.com/es/deepseek-chatgpt-gemini
Adversarial Misuse of Generative AI | Google Cloud Blog, accessed April 15, 2025, https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai
Most Common AI-Powered Cyberattacks | CrowdStrike, accessed April 15, 2025, https://www.crowdstrike.com/en-us/cybersecurity-101/cyberattacks/ai-powered-cyberattacks/
ChatGPT Security Risks - What You Need to Know - Redscan, accessed April 15, 2025, https://www.redscan.com/news/chatgpt-security-risks/
The 6 Most Popular AI Scams In 2025 - CanIPhish, accessed April 15, 2025, https://caniphish.com/blog/ai-scams
What Are AI-Enabled Cyberattacks? Why They're Increasing - Abnormal Security, accessed April 15, 2025, https://abnormalsecurity.com/glossary/ai-enabled-cyberattacks
4 AI-powered cyber threats and why AI cybersecurity is the most effective response | Gcore, accessed April 15, 2025, https://gcore.com/blog/4-ai-powered-cyber-threats
AkiraBot | AI-Powered Bot Bypasses CAPTCHAs, Spams Websites At Scale | SentinelOne, accessed April 15, 2025, https://www.sentinelone.com/labs/akirabot-ai-powered-bot-bypasses-captchas-spams-websites-at-scale/
Social Media Bots 101 - All You Need to Know - Meltwater, accessed April 15, 2025, https://www.meltwater.com/en/blog/social-media-bots
A Russian Bot Farm Used AI to Lie to Americans. What Now? - CSIS, accessed April 15, 2025, https://www.csis.org/analysis/russian-bot-farm-used-ai-lie-americans-what-now
What Are AI Scams? A Guide for Older Adults - National Council on Aging, accessed April 15, 2025, https://www.ncoa.org/article/what-are-ai-scams-a-guide-for-older-adults/
Top 5 AI-Powered Social Engineering Attacks - The Hacker News, accessed April 15, 2025, https://thehackernews.com/2025/01/top-5-ai-powered-social-engineering.html
The Impact of AI on DDoS Attacks - Are Attackers Gaining the Upper Hand? - MazeBolt, accessed April 15, 2025, https://mazebolt.com/blog/the-impact-of-ai-on-ddos-attacks-are-attackers-gaining-the-upper-hand/
DDoS Attack Trends for 2025 and the Impact of Artificial Intelligence - VScanner, accessed April 15, 2025, https://vscanner.ai/blog/ddos-attack-trends-for-2025-and-the-impact-of-artificial-intelligence
2025 Cyber Threat Report: The Escalating Risks Every CISO Must Prepare For - Radware, accessed April 15, 2025, https://www.radware.com/blog/threat-intelligence/2025-cyber-threat-report/
Massive Iran-linked botnet launches DDoS attacks against telecom, gaming platforms, accessed April 15, 2025, https://www.cybersecuritydive.com/news/massive-iran-botnet-ddos-telecom/741359/
Surge in DDoS Attacks in 2025 Threatens Global Cybersecurity | nquiringminds Ltd, accessed April 15, 2025, https://nquiringminds.com/cybernews/surge-in-ddos-attacks-in-2025-threatens-global-cybersecurity/
Annual DDoS Report 2024 Trends And Insights - Vercara, accessed April 15, 2025, https://vercara.com/resources/annual-ddos-report-2024-trends-and-insights
2024 Was a Record-Breaking Year for DDoS Attacks. Is Your Business Prepared? - Zayo, accessed April 15, 2025, https://www.zayo.com/resources/2024-was-a-record-breaking-year-for-ddos-attacks-is-your-business-prepared/
DDoS Attack Volume and Magnitude Continues to Soar - Infosecurity Magazine, accessed April 15, 2025, https://www.infosecurity-magazine.com/news/ddos-attack-volume-magnitude/
The State of DDoS Attacks in 2024—Key Trends and Developments - RiskRecon, accessed April 15, 2025, https://blog.riskrecon.com/the-state-of-ddos-attacks-in-2024-key-trends-and-developments
From 2024 to 2025: The Evolving DDoS Threat Landscape | GlobalDots, accessed April 15, 2025, https://www.globaldots.com/resources/blog/ddos-threat-landscape-2025-trends/
Record-breaking 5.6 Tbps DDoS attack and global DDoS trends for 2024 Q4, accessed April 15, 2025, https://blog.cloudflare.com/ddos-threat-report-for-2024-q4/
European Cyber Report 2025: 137% more DDoS attacks than last year - what companies need to know - DevOps.com, accessed April 15, 2025, https://devops.com/european-cyber-report-2025-137-more-ddos-attacks-than-last-year-what-companies-need-to-know/
Five Most Famous DDoS Attacks and Then Some | A10 Networks, accessed April 15, 2025, https://www.a10networks.com/blog/5-most-famous-ddos-attacks/
Navigating Bot Threats in Financial Services and Insurance Organizations - Radware, accessed April 15, 2025, https://www.radware.com/blog/application-protection/navigating-bot-threats-in-financial-services-and-insurance-organizations/
Financial Impact of API and Bot Attacks - Experian Insights, accessed April 15, 2025, https://www.experian.com/blogs/insights/financial-impact-api-bot-attacks/
Vulnerable APIs and Bot Attacks Costing Businesses Up to $186 Billion Annually, accessed April 15, 2025, https://thehackernews.com/2024/10/vulnerable-apis-and-bot-attacks-costing.html
The 4 most common bad bot attack methods targeting financial services - Imperva, accessed April 15, 2025, https://www.imperva.com/blog/the-4-most-common-bad-bot-attack-methods-targeting-financial-services/
5 Common Bot Attacks That Could Threaten Your Ecommerce Business - TrustDecision, accessed April 15, 2025, https://trustdecision.com/resources/blog/5-common-bot-attacks-that-could-threaten-your-business
5 Types of Security Vulnerabilities in E-commerce and How to Protect Against Them, accessed April 15, 2025, https://www.beyondidentity.com/resource/5-types-of-security-vulnerabilities-in-e-commerce-and-how-to-protect-against-them
A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS, accessed April 15, 2025, https://arxiv.org/html/2501.07703v1
What are the implications of bot attacks on healthcare systems?, accessed April 15, 2025, https://www.hypersecure.in/community/question/what-are-the-implications-of-bot-attacks-on-healthcare-systems/
Cybersecurity in Healthcare: Where Healthcare Systems Are Most Vulnerable, accessed April 15, 2025, https://www.crothall.com/blog/cybersecurity-in-healthcare-where-healthcare-systems-are-most-vulnerable/
Vulnerabilities Identified in Azure Health Bot Service - The HIPAA Journal, accessed April 15, 2025, https://www.hipaajournal.com/vulnerabilities-identified-in-azure-health-bot-service/
Unmasking Harmful Content in a Healthcare Chatbot: A Red Team Perspective - Synack, accessed April 15, 2025, https://www.synack.com/blog/unmasking-harmful-content-in-a-medical-chatbot-a-red-team-perspective/
Bot Protection for eCommerce, accessed April 15, 2025, https://www.peakhour.io/landing-pages/the-hidden-threat-from-bots-for-ecommerce/
Protecting E-Commerce Businesses Against Disruptive AI-driven Bot Threats - Radware, accessed April 15, 2025, https://www.radware.com/blog/application-protection/protecting-e-commerce-businesses-against-ai-driven-bot-threats/
How Bots Affect E-commerce | Resource Library - Imperva, accessed April 15, 2025, https://www.imperva.com/resources/resource-library/reports/how-bots-affect-e-commerce/
What Is Bytespider? Bot User Agent Insights - Dark Visitors, accessed April 15, 2025, https://darkvisitors.com/agents/bytespider
What is the ByteDance crawler bot? How to block it? - DataDome, accessed April 15, 2025, https://datadome.co/bots/bytedance-crawler/
byteDance's ByteSpider a web of mystery, accessed April 15, 2025, https://bab407.com.au/blog/bytedances-bytespider-a-web-of-mystery/
Taking a Stand Against Bad Bots: Servebolt's Decision to Block Bytespider and ClaudeBot, accessed April 15, 2025, https://servebolt.com/articles/servebolts-decision-to-block-bytespider-and-claudebot/
Bytespider tops list of AI crawlers, Cloudflare finds | Digital Watch Observatory, accessed April 15, 2025, https://dig.watch/updates/bytespider-tops-list-of-ai-crawlers-cloudflare-finds
Nearly 90% of our AI Crawler Traffic is From TikTok Parent Bytedance – Lessons Learned, accessed April 15, 2025, https://www.haproxy.com/blog/nearly-90-of-our-ai-crawler-traffic-is-from-tiktok-parent-bytedance-lessons-learned
No Trespassing: Challenges In Stopping Unauthorized AI Data Scraping - Kasada, accessed April 15, 2025, https://www.kasada.io/stopping-unauthorized-ai-data-scraping/
Blocking ByteDance for Hyper-Agressive / Malicious ByteSpider bot · Issue #48 · greyhat-academy/lists.d - GitHub, accessed April 15, 2025, https://github.com/greyhat-academy/lists.d/issues/48
PSA | Bytedance and Bytespider Bots | Recommend Blocking - WordPress.org, accessed April 15, 2025, https://wordpress.org/support/topic/psa-bytedance-and-bytespider-bots-recommend-blocking/
PSA | Bytedance and Bytespider Bots | Recommend Blocking - page 2 - WordPress.org, accessed April 15, 2025, https://wordpress.org/support/topic/psa-bytedance-and-bytespider-bots-recommend-blocking/page/2/?ref=it-svr.com
What to do about Bytespider? : r/flask - Reddit, accessed April 15, 2025, https://www.reddit.com/r/flask/comments/161fqml/what_to_do_about_bytespider/
How to Prevent AI-Powered Cyber Attacks? - SentinelOne, accessed April 15, 2025, https://www.sentinelone.com/cybersecurity-101/threat-intelligence/how-to-prevent-ai-powered-cyber-attacks/
Norfolk, Virginia - Wikipedia, accessed April 15, 2025, https://en.wikipedia.org/wiki/Norfolk,_Virginia
Economy of Norfolk, Virginia - Wikipedia, accessed April 15, 2025, https://en.wikipedia.org/wiki/Economy_of_Norfolk,_Virginia
PROFILE - Norfolk Economic Development, accessed April 15, 2025, https://norfolkdevelopment.com/wp-content/uploads/2023/04/Community-Profile-2023.pdf
Advanced Manufacturing - Norfolk Department of Economic Development, accessed April 15, 2025, https://norfolkdevelopment.com/target-industries/advanced-manufacturing/
Economic Development Opportunity | City of Norfolk, Virginia - Official Website, accessed April 15, 2025, https://www.norfolk.gov/5326/Economic-Development-Opportunity
Industry Profiles of Virginia's Population by Metro Area - Virginia REALTORS®, accessed April 15, 2025, https://virginiarealtors.org/2024/02/20/industry-profiles-of-virginias-population-by-metro-area/
Employment By Industry - Hampton Roads Workforce Council, accessed April 15, 2025, https://www.theworkforcecouncil.org/employment-by-industry/
AI-driven cyberattacks more sophisticated and scalable, but ASU expert offers solutions, accessed April 15, 2025, https://news.asu.edu/20241018-science-and-technology-aidriven-cyberattacks-more-sophisticated-and-scalable-asu-expert
AI-Assisted Cyberattacks and Scams - NYU, accessed April 15, 2025, https://www.nyu.edu/life/information-technology/safe-computing/protect-against-cybercrime/ai-assisted-cyberattacks-and-scams.html
DDoS Attacks | How it Works & Mitigation Strategies - Darktrace, accessed April 15, 2025, https://darktrace.com/cyber-ai-glossary/ddos-attack
ODU Awarded $1M to Help Small Va. Businesses Guard Against Cyberattacks, accessed April 15, 2025, https://www.odu.edu/article/odu-awarded-1m-to-help-small-va-businesses-guard-against-cyberattacks
Small businesses warned of cyberattacks as holiday season approaches | 13newsnow.com, accessed April 15, 2025, https://www.13newsnow.com/article/money/consumer/businesses-holiday-season-staying-vigilant-of-cyberattacks/291-cf65072a-749a-4c91-ba26-1f965d9a9b7c
Cyber Terrorism & Security | City of Norfolk, Virginia - Official Website, accessed April 15, 2025, https://www.norfolk.gov/1616/Cyber-Terrorism-Security
Norfolk Sheriff's Office says they were the 'victim of a cybersecurity event' | 13newsnow.com, accessed April 15, 2025, https://www.13newsnow.com/article/news/local/mycity/norfolk/norfolk-sheriffs-office-says-they-were-the-victim-of-a-cybersecurity-event/291-86fa7a4b-1d59-4899-9965-458ac4501c27
The Economic Impact of Cyber Attacks on Municipalities | KnowBe4, accessed April 15, 2025, https://info.knowbe4.com/economic-impact-of-cyber-attacks-municipalities
Cybersecurity Subcommittee | Hampton Roads, VA, accessed April 15, 2025, https://www.hrpdcva.gov/320/Cybersecurity-Subcommittee
Homeland Security | Hampton, VA - Official Website, accessed April 15, 2025, https://www.hampton.gov/743/Homeland-Security
Cyber Security Solutions|Hampton Roads,VA|BlackWater Network Services|, accessed April 15, 2025, https://www.bwnsecurity.com/hampton-roads
Cybersecurity - Virginia Beach Economic Development, accessed April 15, 2025, https://www.yesvirginiabeach.com/key-industries/cybersecurity
Information Technology - Hampton Roads Alliance, accessed April 15, 2025, https://hamptonroadsalliance.com/information-technology/
Cyber Clinic Supports Experiential Learning and Hampton Roads Businesses | Old Dominion University, accessed April 15, 2025, https://www.odu.edu/article/cyber-clinic-supports-experiential-learning-and-hampton-roads-businesses
National Guard from around the country are in Hampton Roads for the U.S.' largest cyber exercise - WHRO, accessed April 15, 2025, https://www.whro.org/military-veterans/2024-06-10/national-guard-from-around-the-country-are-in-hampton-roads-for-the-u-s-largest-cyber-exercise
Information Systems Security Association ISSA Hampton Roads - Meetup, accessed April 15, 2025, https://www.meetup.com/issa-hampton-roads/
Top Hampton Roads, VA Cybersecurity Companies (4) - Built In, accessed April 15, 2025, https://builtin.com/companies/location/hampton-roads/type/cybersecurity-companies
Cyber & Network Security Degrees for Cybersecurity Careers in Hampton Roads, Virginia | ECPI University, accessed April 15, 2025, https://www.ecpi.edu/hampton-roads-virginia/cyber-network-security
Bot Protection: Attack Examples & 8 Ways to Defend Your Network | Radware, accessed April 15, 2025, https://www.radware.com/cyberpedia/bot-management/bot-protection/
Bad Bots - Learn What They Are & How to Handle Them - Indusface, accessed April 15, 2025, https://www.indusface.com/learning/bad-bots/
What are Bots | Bot Types & Mitigation Techniques - Imperva, accessed April 15, 2025, https://www.imperva.com/learn/application-security/what-are-bots/
What is bot mitigation? | 4 types of bots & botnets | How to stop bots - HUMAN Security, accessed April 15, 2025, https://www.humansecurity.com/learn/topics/what-is-bot-mitigation/
How to Block Bad Bots on Your Website – 4 Mitigation Methods - DataDome, accessed April 15, 2025, https://datadome.co/guides/bot-protection/how-to-block-bots/
What Is Bot Mitigation? - Akamai, accessed April 15, 2025, https://www.akamai.com/glossary/what-is-bot-mitigation
What is bot traffic? | How to stop bot traffic - Cloudflare, accessed April 15, 2025, https://www.cloudflare.com/learning/bots/what-is-bot-traffic/
A Leader's Guide to Understanding and Preventing Bot Attacks - Traceable, accessed April 15, 2025, https://www.traceable.ai/blog-post/a-leaders-guide-to-understanding-and-preventing-bot-attacks
How to combat AI cybersecurity threats - Prey, accessed April 15, 2025, https://preyproject.com/blog/battling-ai-enhanced-cyber-attacks
AI-Powered Cyber Attacks: Understanding and Mitigating the Risks - BDO USA, accessed April 15, 2025, https://www.bdo.com/insights/digital/ai-powered-cyber-attacks-understanding-and-mitigating-the-risks
How Governments Can Mitigate AI-Powered Cyber Threats - Keeper Security, accessed April 15, 2025, https://www.keepersecurity.com/blog/2024/12/10/how-governments-can-mitigate-ai-powered-cyber-threats/
Top 6 AI Security Risks and How to Defend Your Organization - Perception Point, accessed April 15, 2025, https://perception-point.io/guides/ai-security/top-6-ai-security-risks-and-how-to-defend-your-organization/
5 Ways To Avoid AI-powered Hacking - Cyber Management Alliance, accessed April 15, 2025, https://www.cm-alliance.com/cybersecurity-blog/5-ways-to-avoid-ai-powered-hacking
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