Michael Leung .🇨🇦’s Post

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Risk Management. Strategy. Tactics. | Cybersecurity, Crypto, AI

👺 🤖 Advancements in technology caused a shift in the sophistication and breadth of the threat landscape. Generative artificial intelligence (#AI) made its first strides and was received with a broad and warm adoption by businesses and end-users alike. Generative pre-trained transformers (#GPTs) and large language models (#LLMs) took the world by storm, and every organization started to rethink their roadmaps, marking strategies and processes, all centered around generative artificial intelligence (AI). The widespread adoption and unmistakable benefits in productivity enhancement has not escaped cybercriminals. Through current generations of GPT and Gemini, many low-sophistication threat actors were able to reach new levels of sophistication while highly sophisticated threat actors could leverage generative AI to scale up their attack campaign and cast wider nets than before. This new threat landscape is one of more sophisticated threats, but not one where the level of sophistication is higher than what is currently witnessed. Radware 2024 Global Threat Analysis Report #ddos #appsec #cyberrisk #cybersecurity #canadiancybersecurity CANADIAN CYBERSECURITY INC.

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