Üretken Yapay Zekâ Çağında Siber Güvenlik Haberleri Üzerine Analiz Çalışması

Öz

Bilgisayar ağlarının ve internetin yaygınlaşmasıyla birlikte, siber güvenlik konusu daha önemli hale gelmiştir. Üretken yapay zekâ teknolojilerinin, özellikle büyük dil modellerinin (LLM) ve derin üretici ağların (GAN, difüzyon modelleri) hızla yaygınlaşması, siber güvenlik alanında hem savunma hem de saldırı kapasitelerini kökten dönüştürmüştür. Bu çalışma, üretken yapay zekânın kimlik avı ve sosyal mühendislik, derin sahtecilik (deepfake) ve ses klonlama, büyük dil modelleri üzerinden kötü amaçlı yazılım üretimi ve güvenlik kısıtlarını aşma (jailbreak) saldırıları ile siber tehdit istihbaratı alanlarındaki etkilerini anlamak için haber başlıklarının analizleri yapılmıştır. İncelenen haber başlıkları, Deepfake %13,6, kimlik avı (oltalama) %4,6’lık bir orana sahip olduğunu göstermiştir. Bu sonuç, üretken yapay zekânın gelişmesiyle beraber özellikle uzman bilgisi gerektiren saldırıların bu modellerin kullanılmasıyla daha basit ve sıklaştığını göstermektedir.

Anahtar Kelimeler

• Deepfake
• Siber Güvenlik
• Jailbreak
• Ses Klonlama
• Üretken Yapay Zeka

An Analysis of Cybersecurity News in the Age of Generative Artificial Intelligence

Öz

With the widespread adoption of computer networks and the Internet, cybersecurity has become an increasingly important issue. The rapid advancement of generative artificial intelligence (AI) technologies, particularly Large Language Models (LLMs) and deep generative models such as Generative Adversarial Networks (GANs) and diffusion models, has fundamentally transformed both defensive and offensive capabilities in cybersecurity. This study analyzes cybersecurity news headlines to understand the impact of generative AI on phishing and social engineering attacks, deepfakes and voice cloning, malware generation through large language models, jailbreak attacks designed to bypass security restrictions, and cyber threat intelligence. The analysis of the news headlines revealed that deepfake-related news accounted for 13.6% of the dataset, while phishing-related news represented 4.6%. These findings indicate that, with the advancement of generative AI, cyberattacks that previously required specialized technical expertise have become easier to execute and are occurring more frequently through the use of these AI models.

Anahtar Kelimeler

• Deepfake
• Cybersecurity
• Jailbreak
• Voice Cloning
• Generative Artificial Intelligence

Kaynakça

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