U.S. natural gas production remained flat in 2024

Thank you for the opportunity to speak to you today about artificial intelligence (AI) and cybersecurity.1 In the past, a skilled forger could pass a bad check by replicating a person’s signature. Now, advances in AI can do much more damage by replicating a person’s entire identity. This technology—known as deepfakes—has the potential to supercharge identity fraud. I’ve recently spoken about the importance of recognizing both the benefits and the risks of generative AI (Gen AI).2 Today, I’d like to focus more on the darker side of the technology—specifically how Gen AI has the potential to enable deepfake technology, and what we should be doing now to defend against this risk in finance. Escalating Threat of Gen-AI Facilitated Cybercrime Cybercrime is on the rise, and cybercriminals are increasingly turning to Gen AI to facilitate their crimes. Criminal tactics are becoming more sophisticated and available to a broader range of criminals. Estimates of direct and indirect costs of cyber incidents range from 1 to 10 percent of global GDP.3 Deepfake attacks have seen a twentyfold increase over the last three years.4 Cybercrime with deepfakes involves the same cat and mouse game common to sophisticated criminal activity. Both cybercriminals and financial institutions are constantly trying to outdo each other. Criminals develop new attack methods, and companies respond with better defenses. Here, the same technological innovations that enable the bad actors can also help those fighting cybercrime. However, there is an asymmetry—the fraudsters can cast a wide net of approaches and target a wide number of victims, and they only need a small number to post: Fed’s Barr doesn’t comment on monetary policy in prepared text.