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For years, cybersecurity has been a game of asymmetric warfare. Human defenders, outnumbered and outpaced, have fought against an endless tide of malware, phishing, and brute-force attacks. But the rules are changing. The rise of generative and autonomous artificial intelligence has turned this silent war into a lightning-fast duel of algorithms. Welcome to the next cybersecurity battlefield: AI versus AI. Attackers no longer need to write painstaking lines of exploit code. They now deploy Large Language Models (LLMs) to craft spear-phishing emails that perfectly mimic a boss’s tone, generate polymorphic malware that rewrites itself each time it infects a machine, and automate the discovery of zero-day vulnerabilities in hours instead of weeks. On the other side, defenders counter with AI-driven security orchestration, real-time anomaly detection, and adversarial training. The battlefield is no longer human versus machine; it is machine versus machine, with milliseconds determining the victor (Figure 1). Figure 1. Flowchart illustrating the evolving cybersecurity arms race between offensive and defensive AI systems. 1. The Rise of Offensive AI The democratization of AI models has lowered the barrier to cybercrime. Malicious actors now use AI to scale attacks that were once too labor-intensive. Consider the traditional phishing email: usually riddled with grammatical errors and suspicious links. Offensive AI changes that. By ingesting a target’s public social media data, an AI can generate a highly personalized message, referencing recent projects or inside jokes. According to a recent industry analysis, AI-generated phishing emails have click-through rates comparable to legitimate internal communications, making them nearly impossible for humans to spot [1]. Beyond deception, AI enables adaptive malware. Traditional signature-based antivirus fails against code that rewrites its own logic on every execution. Using generative adversarial networks (GANs), attackers can create malware variants that evade even behavior-based detection systems. A 2025 report noted that AI-driven ransomware can now identify high-value files, encrypt them, and negotiate ransom amounts dynamically based on the victim’s financial data scraped from compromised systems [2]. Worst of all is the automation of reconnaissance. AI agents can sweep through networks silently, learning patterns of legitimate traffic, mapping user behaviors, and waiting for the perfect moment to strike. This is not a future threat; it is already happening. 2. The Defensive Counter-Revolution In response, defenders are weaponizing AI as well. Modern Security Operations Centers (SOCs) are drowning in alerts, thousands per day, most of them false positives. AI-powered Security Information and Event Management (SIEM) systems now filter this noise, correlating events across endpoints, clouds, and identities. But the real game-changer is Autonomous Detection and Response (ADR). Unlike rule-based systems, ADR platforms use unsupervised learning to establish a baseline of “normal” activity across a network. When an offensive AI begins its reconnaissance, ADR spots the subtle statistical anomalies, a user account logging in from two continents within seconds, or a process writing encrypted data at an unusual speed, and triggers countermeasures before any damage is done. One of the most promising defensive techniques is adversarial machine learning. Here, defenders train their models on attacks generated by rival AIs. In effect, they create a "digital immune system" that has already seen millions of variations in AI-driven malware. These models can then predict and block mutations in real time [3]. Leading tech firms have deployed so-called “AI referees” that sit between networks and external traffic, analyzing every packet’s intent rather than just its signature. 3. The Cat-and-Mouse Game Accelerates What makes AI vs AI unique is the speed of the arms race. Human hackers need days or weeks to reverse-engineer a defense and craft a new exploit. An offensive AI can do it in seconds. For example, a defensive AI might learn to block a certain pattern of SQL injection attempts. Within minutes, an offensive AI can generate thousands of novel injection strings, test which one bypasses the filter, and launch a refined attack. This forces defenders to adopt real-time model updating, a practice known as "continuous learning" in cybersecurity. Yet this speed comes with a dangerous side effect: model poisoning. Attackers have learned to feed defensive AIs deliberately crafted false data, causing them to mislabel malicious activity as benign. Thus, the battle is not just about who has the smarter AI, but who can better protect the integrity of their AI’s training data. 4. The Human Element Remains Despite the machine-versus-machine frenzy, cybersecurity professionals are far from obsolete. Their role is shifting from front-line warrior to strategic commander. Humans now design the reward functions that guide defensive AI, investigate edge cases that confuse models, and make ethical judgments, like whether an automated counterattack is legal or proportionate. In fact, the most effective teams operate as "centaurs": humans and AI collaborating, each covering the other’s blind spots. AI provides speed and scale; humans provide context and creativity. Regulation is also entering the fray. Governments are debating rules for offensive AI use, especially for nation-state actors. The emerging consensus is that any AI used in active defense must have a "human-in-the-loop" for actions like isolating critical infrastructure or deploying counter-hacking measures. Without such safeguards, an autonomous AI war could spiral into chaos, two machine learning models recursively attacking each other, consuming bandwidth and compute, while real assets are left exposed. 5. The Future Battlefield Looking ahead three to five years, several scenarios are plausible. The first is a stalemate where offensive and defensive AI evolve in lockstep, forcing attackers to return to low-tech methods like social engineering. The second, more alarming scenario is the "AI breakout", when a single offensive AI discovers a novel exploit that renders all current defenses useless, leading to a wave of catastrophic breaches before a patch is developed. The third is a regulated equilibrium, where governments mandate AI safety standards for cybersecurity tools, much like they do for automobiles and medical devices. What is certain is that the era of purely human-led defense is over. Every enterprise, from local hospitals to global banks, must now invest in AI-driven security or be annihilated by AI-driven crime. The next great cybersecurity battlefield is not a place. It is a neural network versus another neural network, fighting silently in the cloud, with our digital lives as the prize. 6. Conclusion AI vs AI is not a Hollywood fantasy; it is the new reality of cyber conflict. Offensive AI lowers the skill floor for attackers while raising the speed ceiling for everyone. Defensive AI offers the only hope of keeping pace. As we have seen, this cat-and-mouse game has become instantaneous, relentless, and unforgiving. For security professionals, the message is clear: learn to harness, trust, and verify your AI defenders, because on the other side of the firewall, another AI is already learning how to beat them. References Heiding, F.; Lermen, S.; Kao, A.; Schneier, B.; Vishwanath, A. Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects. 2024, arXiv preprint arXiv:2412.00586. Faddom. AI and Ransomware: The Double-Edged Sword. Faddom Inc. 2025, Available online: https://faddom.com/ai-and-ransomware-the-double-edged-sword/ (Accessed on 29 April 2026). Huang, W.; Chu, D.-T.; Bai, L.-Y.; Kang, W.; Zhang, H.-T.; Li, B.; Han, Z.-M.; Ge, J.; et al. EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense. 2025, arXiv preprint arXiv:2509.21129. Biography Dr. Hamed Taherdoost is an award-winning researcher, educator, and R&D leader with over two decades of international experience across academia and industry. He is a Professor at University Canada West and holds academic affiliations with Westcliff University (USA), GISMA University of Applied Sciences (Germany), and Victorian Institute of Technology (Australia). He is a GUS Institute Fellow (UK), a Westcliff Faculty Fellow, and a Fellow at the National Kaohsiung University of Science and Technology, Taiwan. His work spans digital transformation, cybersecurity, AI, and technology innovation, with hundreds of high-impact publications. Dr. Taherdoost serves as Book Series Editor for Routledge’s Mastering Academic Excellence and holds editorial roles with leading international journals.
Blog 03 Jun 2026
Encyclopedia MDPI is thrilled to announce significant enhancements to its Academic Video Service, which aim to improve its quality, accessibility, and functionality. Since its launch, our video service has enabled numerous scholars to present their research in a dynamic and visually engaging format, greatly enhancing its visibility and impact. Due to the overwhelmingly positive reception this service has received, we have reached a point where the number of orders we are receiving exceeds our current capacity. In order to maintain the quality of these videos and continue optimizing the service, we have made the decision to introduce a fee. However, to ensure that this service is still a cost-effective option, we have set our prices significantly below the market average. 1. Highlights of the Upgrades to the Service Although the service will now be fee-based, we are committed to providing even more professional and comprehensive support, including the following: One-on-one video production guidance Personalized assistance to ensure your needs are fully met. Scriptwriting and English editing Expertly crafted narratives and professional English editing to ensure your research is presented clearly, accurately, and with impact. High-quality animations Visually engaging animations are created to simplify complex research and captivate your audience. Whiteboard Animations: Clean and minimalist, using hand-drawn illustrations to explain ideas step-by-step. Motion Graphics (MG) Animations: Cartoon Style: Bright, colorful, and approachable, ideal for making technical or scientific content more accessible and engaging. Hand-Drawn Style: Unique and artistic, adding a personal touch to your research while maintaining clarity and professionalism. Customized infographics (optional) We can also create tailored infographics to visually summarize key data or findings, enhancing the clarity and appeal of your video. Native voiceover Native speakers provide voiceovers to enhance the accessibility and reach of your research. Multiple rounds of revision To ensure your video accurately represents your work. Social media promotion Expanding your research's visibility and impact. 2. Why Choose Us? The Proven Impact of Video Abstracts Research shows that a well-crafted video abstract can significantly enhance the visibility and impact of your work. It has been shown to do the following: Increase paper views by 120% (Source: 10.1007/ s11192-019-03108-w) Boost citations by 20% (Source: Wiley Online Library) Improve journal rankings by 33% (Source: Research Square) Raise Altmetrics scores by 140% (Source: Research Square) Our Expertise in Academic Research Backed by MDPI, our experienced production team combines deep academic knowledge with creative excellence. We understand the nuances of scholarly communication and ensure that every frame accurately conveys the value of your research, meeting the highest standards of quality and precision. Collaborations with SCI Journals We have partnered with over 60 SCI journals to create exclusive video series, enhancing the dissemination and impact of published research. For example, our collaborations with Entropy, Remote Sensing, Nanomaterials , Animals , Nutrients, Foods , Sustainability, Cancers, etc., have helped authors achieve greater visibility and recognition for their work. Global visibility The videos are linked to your paper's DOI for maximum exposure. Available Video Services and Their Pricing Video Abstract (up to 5 minutes long): Summarizes the key findings, methodology, and significance of your research paper. Regular Price: 600 CHF Short Take (up to 2 minutes long): Uses original animations to explain the specific aspects of your research. Regular Price: 500 CHF Scholar Interview: A face-to-face discussion offering deeper insights into your publication. Regular Price: 400 CHF Scholar Profile: A brief overview of a scholar’s career, highlighting education, research focus, and key achievements. Regular Price: 500 CHF 3. Video Production Service If you want to see some examples of our videos, please visit https://encyclopedia.pub/video. If you would like to apply for the video service, please click https://encyclopedia.pub/video_service. 4. Others If you have any other questions, please contact office@encyclopedia.pub.
Announcement 14 Apr 2026
The Encyclopedia platform, together with the journals Biology and Nutrients, launches the Best Video Abstract Awards to increase the visibility and reach of published research and to inspire researchers to explore the power of visual storytelling. Video abstracts have become an increasingly important medium for scientific communication. By integrating narration, visualizations, animations, and experimental footage, they make complex research more accessible, engaging, and memorable. This initiative recognizes video abstracts that are not only scientifically rigorous but also creatively compelling and educational, thereby promoting broader dissemination and deeper community engagement. To learn more about the awards or to participate directly, please visit the event page via the links provided below. https://encyclopedia.pub/best-video-abstract-award 1. Event Duration 9 February 2026 – 2 February 2027 2. Awards Biology Best Video Abstract AwardOpen to video abstracts based on papers published in Biology between 1 January 2024 and 31 December 2025. This award will be granted to two video abstracts based on the evaluation of the Award Evaluation Committee. Nutrients Best Video Abstract AwardOpen to video abstracts based on papers published in Nutrients between 1 January 2024 and 31 December 2025. This award will be granted to two video abstracts based on the evaluation of the Award Evaluation Committee. Prize For each journal award, the winner will receive: CHF 500 A voucher waiving the Article Processing Charges (APCs) for one journal submission (subject to peer review, valid for one year) A free Academic Video Service production (no matter where the paper is published), valid for one year. An electronic certificate Participant Incentive All participants will receive a CHF 100 discount voucher for the Encyclopedia Academic Video Service. 3. Participation The event will be conducted in three stages. Submission Stage 9 February 2026 – 31 August 2026 Independent Submission Authors may create and submit video abstracts independently using their own tools and creative approach. Professional Support Option Authors who do not currently have a video abstract but intend to apply for the award may opt for the Academic Video Service, which offers a one-stop, end-to-end solution covering script development, animation, voiceover recording, and editing. Please submit your video abstract here: https://encyclopedia.pub/user/video_add?activity=b57ab0910b456a5e4eebd960867ce205 Or place your video service order here: https://encyclopedia.pub/user/video_service_order All video abstracts will be assessed by the editorial team for editorial suitability and overall quality. Submissions that meet the guidelines will be assessed equally. Voting Stage 1 November 2026 – 31 December 2026 Public voting will be conducted during this period. Voting results and video performance metrics, including views, likes, shares, and collections, will contribute to the final evaluation. Winner Announcement 2 February 2027 Final winners will be determined based on a combined assessment of public voting results and a comprehensive evaluation by the Award Evaluation Committee, which carries the primary weight in the final decision. Winners will be announced on the Encyclopedia platform and journal websites. 4. Others If you have any other questions, please contact office@encyclopedia.pub
Announcement 09 Feb 2026
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Encyclopedia 2026, 6(6), 120; https://doi.org/10.3390/encyclopedia6060120

From the early Middle Ages, but mostly the late twelfth century, the love story involving Tristan and Isolde (also Yseut) attracted much attention, originating in the Celtic world but fully developed first by the Old French poet Béroul (ca. 1160) and Thomas of England, of Britain, or of Brittanny, around 1170. It was rendered into virtually every European language since then and has also appealed to artists and musicians throughout time. We know, for example, of tiles, tapestry, sculptures, paintings, musical tunes, manuscript illuminations, and other visual representations of the intense but highly problematic relationship between these two young people. In essence, while Yseult is married to the King of Cornwall, Mark/Marke, a love potion, a metaphorical symbol of their deep feelings, bonds her with Tristan for the rest of their lives (a limited number of years in the earlier versions). Ultimately, at least in most versions, they are destined to die because of their love, which is incompatible with the social norms of their time, and this Romantic theme has hence also played a huge role in the nineteenth and twentieth centuries, and is perhaps highly important also today, as expressed by modern movies and music engaging with this love story. This study first traces in rough brushstrokes the history of the reception of this literary theme from the twelfth to the twenty-first century; then, it returns to the various medieval versions to investigate the critical issues contained in this highly popular story, which has never lost its relevance and attraction for audiences throughout time. Since the focus rests on the history of reception, less on comparative literature, the main tradition to be traced will be the German one.

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