In an era where artificial intelligence is reshaping communication, audio deepfakes have emerged as both a groundbreaking innovation and a formidable security threat.

Advances in generative AI now enable the creation of synthetic voices nearly indistinguishable from real ones, unlocking new possibilities in entertainment, accessibility, and automation. However, these same capabilities are fueling fraud, misinformation, and cyber threats, challenging our ability to trust what we hear.

This talk will explore the current landscape of audio deepfakes—how they are created, their real-world implications, and the evolving tactics used by attackers.

We will dive into the latest advancements in deepfake detection, from acoustic analysis to AI-driven authentication, and discuss the ongoing arms race between synthesis and detection technologies.

Finally, we will examine the ethical, regulatory, and technological pathways needed to safeguard the future of voice-based communication.