AI Research
How AI is Being Used to Launch Sophisticated Cyberattacks

What if the same technology that powers new medical discoveries and automates tedious tasks could also be weaponized to orchestrate large-scale cyberattacks? This is the dual-edged reality of artificial intelligence (AI) today. While AI has transformed industries, it has also lowered the barriers for cybercriminals, allowing more sophisticated, scalable, and devastating attacks. From AI-generated phishing emails that adapt in real-time to “vibe hacking” tactics that manipulate AI systems into performing harmful tasks, the threat landscape is evolving at an alarming pace. In this high-stakes environment, Anthropic’s Threat Intelligence team has emerged as a critical player, using innovative strategies to combat the misuse of AI and safeguard digital ecosystems.
Learn how Anthropic is redefining cybersecurity by tackling the unique challenges posed by AI-driven cybercrime. You’ll discover how their multi-layered defense strategies, such as training AI models to resist manipulation and deploying classifier algorithms to detect malicious activity, are setting new standards in threat prevention. We’ll also uncover the unsettling ways AI is exploited, from geopolitical scams to infrastructure attacks, and why collaboration across industries is essential to counteract these risks. As you read on, you’ll gain a deeper understanding of the delicate balance between innovation and security in the AI era, and what it takes to stay one step ahead in this rapidly shifting battlefield.
AI’s Impact on Cybersecurity
TL;DR Key Takeaways :
- AI is increasingly exploited in cybercrime, allowing sophisticated phishing campaigns, AI-powered scams, and large-scale attacks with minimal technical expertise required.
- Emerging threats like “vibe hacking” allow cybercriminals to manipulate AI systems for creating malware, executing social engineering attacks, and infiltrating networks.
- Geopolitical misuse of AI, such as North Korean employment scams, demonstrates how AI-generated fake resumes and interview responses fund state-sponsored activities like weapons programs.
- AI enhances espionage and infrastructure attacks by identifying high-value targets, analyzing vulnerabilities, and optimizing data exfiltration strategies, posing risks to national security.
- Anthropic combats AI-driven cybercrime through multi-layered defenses, including training AI models to prevent misuse, deploying classifier algorithms, and fostering cross-industry collaboration to share intelligence and best practices.
The Role of AI in Cybercrime
AI has become a powerful enabler for cybercriminals, allowing them to execute attacks with greater precision and scale. By automating complex processes, AI reduces the technical expertise required for malicious activities, making cybercrime more accessible to a broader range of actors. For instance:
- Phishing campaigns are now more sophisticated, with AI generating highly convincing emails that adapt to victims’ responses in real-time, increasing their success rates.
- AI-powered bots assist in crafting persuasive messages for scams, allowing criminals to target thousands of individuals simultaneously.
This growing sophistication highlights the urgent need for robust defenses to counter AI-enabled threats.
Emerging Threats: “Vibe Hacking” and Beyond
One of the most concerning developments in AI-driven cybercrime is “vibe hacking.” This tactic involves manipulating AI systems through natural language prompts to perform harmful tasks. Cybercriminals exploit this method to:
- Create malware and execute social engineering attacks with minimal effort.
- Infiltrate networks and extract sensitive data from organizations.
In a notable case, a single cybercriminal used AI to extort 17 organizations within a month, demonstrating the efficiency and scale of such attacks. This underscores the importance of developing AI systems resistant to manipulation.
How Anthropic Stops AI Cybercrime With Threat Intelligence
Unlock more potential in cybersecurity by reading previous articles we have written.
Geopolitical Exploitation: North Korean Employment Scams
AI is also being weaponized in geopolitical contexts, such as North Korean employment scams. State-sponsored actors use AI to secure remote IT jobs by:
- Generating fake resumes that bypass automated screening systems.
- Answering interview questions convincingly, mimicking human expertise.
- Maintaining a facade of technical proficiency during employment.
The earnings from these fraudulent activities are funneled into North Korea’s weapons programs, illustrating how AI misuse can have far-reaching consequences beyond financial fraud.
AI-Driven Espionage and Infrastructure Attacks
AI is increasingly being used to enhance espionage operations, particularly those targeting critical infrastructure. For example, attackers targeting Vietnamese telecommunications companies used AI to:
- Identify high-value targets within the organization.
- Analyze network vulnerabilities to exploit weak points.
- Optimize data exfiltration strategies for maximum impact.
These capabilities demonstrate the growing need for stronger defenses in sectors critical to national security, as AI continues to amplify the effectiveness of cyberattacks.
Fraud and Scams: The Expanding Role of AI
AI is playing an increasingly prominent role in various forms of fraud, including:
- Romance scams, where AI generates emotionally compelling messages to manipulate victims.
- Ransomware development, allowing more sophisticated and targeted attacks.
- Credit card fraud, where AI analyzes transaction patterns to exploit vulnerabilities.
In one instance, a Telegram bot powered by AI provided scammers with real-time advice, complicating efforts by law enforcement and cybersecurity professionals to counter these activities.
Anthropic’s Multi-Layered Defense Strategy
To address these threats, Anthropic employs a comprehensive defense strategy that includes:
- Training AI models to recognize and prevent misuse, making sure systems are resilient against manipulation.
- Classifier algorithms and offline rule systems to detect and block malicious activities.
- Account monitoring tools to identify suspicious behavior and mitigate risks proactively.
Collaboration is a cornerstone of Anthropic’s approach. By partnering with governments, technology companies, and the broader security community, Anthropic assists the sharing of intelligence and best practices, fostering a collective effort to combat AI-driven cybercrime.
Balancing Innovation and Security
The dual-use nature of AI presents a complex challenge. While AI offers fantastic benefits, its general-purpose capabilities also enable harmful applications. Striking a balance between promoting beneficial use cases, such as AI-driven cybersecurity tools, and preventing misuse is critical. Developers, policymakers, and organizations must work together to ensure that ethical considerations guide AI development and deployment.
Future Directions and Practical Steps
As AI-enabled attacks evolve, proactive and innovative defenses will be essential. Key priorities for the future include:
- Developing automated systems capable of detecting and countering AI-driven threats in real-time.
- Fostering cross-industry collaboration to share knowledge, resources, and strategies for combating cybercrime.
- Making sure ethical AI development to minimize risks while maximizing benefits.
To protect yourself and your organization, consider these practical steps:
- Stay vigilant against suspicious communications, especially those that appear unusually convincing or urgent.
- Use AI tools, such as Anthropic’s Claude, to identify vulnerabilities and monitor for potential threats.
- Encourage collaboration within your industry to share insights and best practices for addressing cybercrime.
By adopting these measures, individuals and organizations can harness the power of AI for defense while mitigating its potential for harm.
Media Credit: Anthropic
Latest Geeky Gadgets Deals
Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
AI Research
‘AI Learning Day’ spotlights smart campus and ecosystem co-creation

When artificial intelligence (AI) can help you retrieve literature, support your research, and even act as a “super assistant”, university education is undergoing a profound transformation.
On 9 September, XJTLU’s Centre for Knowledge and Information (CKI) hosted its third AI Learning Day, themed “AI-Empowered, Ecosystem-Co-created”. The event showcased the latest milestones of the University’s “Education + AI” strategy and offered in-depth discussions on the role of AI in higher education.
In her opening remarks, Professor Qiuling Chao, Vice President of XJTLU, said: “AI offers us an opportunity to rethink education, helping us create a learning environment that is fairer, more efficient and more personalised. I hope today’s event will inspire everyone to explore how AI technologies can be applied in your own practice.”
Professor Qiuling Chao
In his keynote speech, Professor Youmin Xi, Executive President of XJTLU, elaborated on the University’s vision for future universities. He stressed that future universities would evolve into human-AI symbiotic ecosystems, where learning would be centred on project-based co-creation and human-AI collaboration. The role of educators, he noted, would shift from transmitters of knowledge to mentors for both learning and life.
Professor Youmin Xi
At the event, Professor Xi’s digital twin, created by the XJTLU Virtual Engineering Centre in collaboration with the team led by Qilei Sun from the Academy of Artificial Intelligence, delivered Teachers’ Day greetings to all staff.
(Teachers’ Day message from President Xi’s digital twin)
“Education + AI” in diverse scenarios
This event also highlighted four case studies from different areas of the University. Dr Ling Xia from the Global Cultures and Languages Hub suggested that in the AI era, curricula should undergo de-skilling (assigning repetitive tasks to AI), re-skilling, and up-skilling, thereby enabling students to focus on in-depth learning in critical thinking and research methodologies.
Dr Xiangyun Lu from International Business School Suzhou (IBSS) demonstrated how AI teaching assistants and the University’s Junmou AI platform can offer students a customised and highly interactive learning experience, particularly for those facing challenges such as information overload and language barriers.
Dr Juan Li from the School of Science shared the concept of the “AI amplifier” for research. She explained that the “double amplifier” effect works in two stages: AI first amplifies students’ efficiency by automating tasks like literature searches and coding. These empowered students then become the second amplifier, freeing mentors from routine work so they can focus on high-level strategy. This human-AI partnership allows a small research team to achieve the output of a much larger one.
Jing Wang, Deputy Director of the XJTLU Learning Mall, showed how AI agents are already being used to support scheduling, meeting bookings, news updates and other administrative and learning tasks. She also announced that from this semester, all students would have access to the XIPU AI Agent platform.
Students and teachers are having a discussion at one of the booths
AI education system co-created by staff and students
The event’s AI interactive zone also drew significant attention from students and staff. From the Junmou AI platform to the E
-Support chatbot, and from AI-assisted creative design to 3D printing, 10 exhibition booths demonstrated the integration of AI across campus life.
These innovative applications sparked lively discussions and thoughtful reflections among participants. In an interview, Thomas Durham from IBSS noted that, although he had rarely used AI before, the event was highly inspiring and motivated him to explore its use in both professional and personal life. He also shared his perspective on AI’s role in learning, stating: “My expectation for the future of AI in education is that it should help students think critically. My worry is that AI’s convenience and efficiency might make students’ understanding too superficial, since AI does much of the hard work for them. Hopefully, critical thinking will still be preserved.”
Year One student Zifei Xu was particularly inspired by the interdisciplinary collaboration on display at the event, remarking that it offered her a glimpse of a more holistic and future-focused education.
Dr Xin Bi, XJTLU’s Chief Officer of Data and Director of the CKI, noted that, supported by robust digital infrastructure such as the Junmou AI platform, more than 26,000 students and 2,400 staff are already using the University’s AI platforms. XJTLU’s digital transformation is advancing from informatisation and digitisation towards intelligentisation, with AI expected to empower teaching, research and administration, and to help staff and students leap from knowledge to wisdom.
Dr Xin Bi
“Looking ahead, we will continue to advance the deep integration of AI in education, research, administration and services, building a data-driven intelligent operations centre and fostering a sustainable AI learning ecosystem,” said Dr Xin Bi.
By Qinru Liu
Edited by Patricia Pieterse
Translated by Xiangyin Han
AI Research
Philippine businesses slow to adopt AI, study finds – People Matters Global

Philippine businesses slow to adopt AI, study finds People Matters Global
Source link
AI Research
Examining Tim Draper’s AI digital twin program – NBC Bay Area

Remember a hologram of Tupac Shakur that made headlines back at Coachella in 2012?
It was a digital creation made to sing along on stage.
Now imagine a similar hologram, but one that can use artificial intelligence to bring us all the experience and knowledge in someone’s life — in this case, a well-known Silicon Valley venture capitalist.
“It’s going to change the way we think about the world, and we’ll evolve with it,” venture capitalist Tim Draper said.
A digital twin has been created of Draper. The so-called twin is a hologram using AI to scan everything about Draper.
The twin can answer questions in multiple locations at once and Draper’s twins are currently installed at Kennedy Airport in New York and at a Midwestern University.
Still, the twins have some learning to do as they still get the occasional question wrong.
The box holding one of the twins is reportedly about $100,000 each.
Draper is so known and regarded in tech circles that he has his own university, where the Silicon Valley venture capitalist now mentors young entrepreneurs.
One of the many things Draper has invested in deeply is AI after making a splash with some other big name investments like Tesla and Robinhood.
“You’re seeing the excitement period of an industry being created,” Draper said. “We’re in that period of elation. Where wow, it’s blowing my mind.”
Draper is now offering some very simple advice to young techies to make sure they have the right skills to stay employed in the shifting Silicon Valley landscape.
-
Business3 weeks ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms1 month ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy2 months ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers3 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Education2 months ago
Macron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics
-
Education3 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi
-
Funding & Business3 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries