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Talking about AI: Definitions Artificial Intelligence (AI) — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing various technologies and methodologies, including Machine Learning (ML) and Deep Learning. Machine Learning (ML) — ML is a subset of AI that focuses on developing algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML is a specific approach within AI, emphasizing data-driven learning and improvement over time. Deep Learning (DL) — Deep Learning is a specialized subset of ML that uses neural networks with multiple layers to analyze and interpret complex data patterns. This advanced form of ML is particularly effective for tasks such as image and speech recognition, making it a crucial component of many AI applications. Larg...

The foundations for social engineering attacks – manipulating humans – might not have changed much over the years. It's the vectors – how these techniques are deployed – that are evolving. And like most industries these days, AI is accelerating its evolution.  This article explores how these changes are impacting business, and how cybersecurity leaders can respond. Impersonation attacks: using a trusted identity Traditional forms of defense were already struggling to solve social engineering, the 'cause of most data breaches' according to Thomson Reuters. The next generation of AI-powered cyber attacks and threat actors can now launch these attacks with unprecedented speed, scale, and realism.  The old way: Silicone masks By impersonating a French government minister, two fraudsters were able to extract over €55 million from multiple victims. During video calls, one would wear a silicone mask of Jean-Yves Le Drian. To add a layer of believability, they also sat in a rec...