While AI-driven threat detection systems have advanced, cybercriminals now leverage:
- Generative AI doesn't just analyze data — it produces new things based on what it has learned. Often referred to as GenAI, is a subset of artificial intelligence that can create original content such as text, images, videos, audio, or software code in response to user prompts
- AI-Enhanced Social Engineering, This is how attackers use AI to create highly effective and individualized social engineering attacks. GenAI systems can create realistic text, voice, or even video content to convince targets
- Data Poisoning, In this attack, attackers input incorrect data in the dataset used to train the AI. This corrupted data can modify AI functionality and create false choices or predictions
- Machine Learning (ML), is a subset of artificial intelligence (AI) that focuses on developing algorithms that enable computers to learn from and make decisions based on data
- Deepfakes, are images, videos, or audio that have been edited or generated using artificial intelligence, AI-based tools or AV editing software