The Tech Behind Cyber Crimes and How They’re Being Combated
The Tech Behind Cyber Crimes and How They’re Being Combated
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(Image Credit: Northwest Community Credit Union)
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May 9, 2025
Trinity Mitchel
11th Grade
The Young Women's Leadership School of Queens
In today's digital age, scams have evolved into sophisticated operations powered by cutting-edge technologies. Cybercriminals leverage advanced methods to exploit vulnerabilities, from skimmers to phishing tools and AI-driven fraud. The key is first to understand how the technology behind them works. Understanding this and how cybersecurity systems counteract them is crucial for safeguarding individuals and organizations.
One such technology used in these scams is skimmers. These devices steal credit card information by reading magnetic stripes during transactions. Due to the compact nature of these devices, it can be difficult to tell where they might be. This, combined with their ability to transmit data wirelessly, makes their theft seamless. An even more deceptive technology used is phishing tools. Using adaptive AI, cybercriminals use algorithms to craft personalized emails and messages that mimic legitimate communications, making them difficult to distinguish from authentic ones. Forbes states, “The creation of hyper-realistic synthetic media makes it quite easy to imitate specific individuals, thereby manipulating public perception and enabling direct fraudulent acts.”
However, cybersecurity programmers learn to do the same as criminal AI adapts. “Cybercriminals are leveraging advanced AI techniques to breach security systems, making it essential for organizations to adopt AI-powered threat detection solutions.” (Webasha, 2025) By employing multiple different methods, they can stop scammers at the source. Some of these methods include:
Behavioral Analysis: Programmers teach operating systems to run behavior analysis on anomalies via unusual patterns and strange data access requests.
Machine Learning: AI-powered systems are used to analyze past attacks and email patterns to predict ones that may occur in the future
Real-Time Threat Detection: Advanced operating systems work 24/7 to monitor and stop attacks as they occur. They do this by blocking suspicious IP addresses and reporting sketchy behavior.
Encryption and Tokenization: Technology encrypts and encodes sensitive information by turning it into unreadable formats, effectively making it useless to cybercriminals even if they manage to obtain it.
As scams become more advanced, so do the tools to combat them. Therefore, advanced cybersecurity systems play a vital role in detecting and mitigating threats by leveraging AI, machine learning, and real-time monitoring. Staying up to date and adopting robust security measures are essential in protecting against modern scams; in an environment where scams constantly evolve, relying on traditional security methods is insufficient, and proactive strategies are required!
Reference Sources
“Advanced Threat Protection: 5 Defensive Layers and 5 Best Practices.” Exabeam, 24 Mar. 2025,
Murugesan, Balasubramani. “AI-Driven Phishing and Deep Fakes: The Future of Digital Fraud.” Forbes, 10 Mar. 2025,
NYU Web Communications. “AI-Assisted Cyberattacks and Scams.” Nyu.edu, 2024,
“Scams 2.0: How Technology Is Powering the Next Generation of Fraud.” Tripwire.com, 2025,
https://www.tripwire.com/state-of-security/scams-how-technology-powering-next-generation-fraud.
Vaishnavi. “The Best AI Tools for Detecting Cyber Threats in 2025 – Advanced Security Solutions for Cyber Defense.” WebAsha
Technologies, 25 Feb. 2025,