Insights on verifying and detecting generative AI

In an era where video dominates communication, the ability to scan and detect manipulated or malicious content has become more crucial than ever. Fraud, misinformation, deepfakes, hidden malware, copyright misuse, and unsafe content all pose serious threats in 2026.

Conversational AI is no longer niche. Conversational AI adoption in the U.S. has accelerated faster than any other CX technology. The global conversational AI market is also projected to reach $41.39 billion by 2030, reflecting the massive shift toward AI-driven chat, voice, and

Customer expectations in banking have shifted faster in the last three years than in the previous decade. As digital adoption accelerates and people demand faster, more personalized support, banks are turning to conversational solutions like AI-driven interactions through chat, m

If someone can fake your voice, they can fake your authority. That’s the reality companies are dealing with today. Attackers are cloning executives, customers, and support agents to authorize payments, reset accounts, and slip into internal conversations. And it’s working. A 2024

Voice cloning has quickly become essential for enterprises that need to scale content, training, customer experience, and product voice interfaces. But as deepfakes rise and regulations tighten, choosing the right platform is no longer a creative decision; it’s a security and com

In October 2023, Forbes reported on a concerning development where AI-generated deepfake news segments featured real journalists delivering fabricated stories. These hyper-realistic videos, created using advanced deepfake technology, showcased news anchors appearing to report fak

The evolution of deepfake technology has dramatically shifted from traditional methods such as Generative Adversarial Networks (GANs) to newer and more powerful approaches like Stable Diffusion.