The Register: Deepfake detectors are slowly coming of age, at a time of dire need

Aug 11, 2025

—

Source URL: https://www.theregister.com/2025/08/11/deepfake_detectors_fraud/
Source: The Register
Title: Deepfake detectors are slowly coming of age, at a time of dire need

Feedly Summary: By video, picture, and voice – the fakers are coming for your money
DEF CON While AI was on everyone’s lips in Las Vegas this week at the trio of security conferences in Sin City – BSides, Black Hat, AND DEF CON – there were a lot of people using the F-word too: fraud.…

AI Summary and Description: Yes

Summary: The content discusses the rising threat of AI-generated fraud showcased at major security conferences, highlighting the vulnerabilities associated with advancements in AI technologies that can be exploited for financial deceit.

Detailed Description: The text addresses the alarming trend of AI being used to commit fraud, as noted during significant cybersecurity events in Las Vegas, specifically DEF CON, along with BSides and Black Hat conferences. This showcases the increasing risks in the intersection of AI and security, pertinent for professionals in fields such as AI security, cloud security, and information security.

– **Context of Events**: The text mentions three important security conferences — BSides, Black Hat, and DEF CON. These forums are crucial in discussing emerging threats in cybersecurity, including those posed by AI.

– **Focus on Fraud**: Emphasis is placed on the term “fraud,” particularly as it relates to the misuse of AI technologies. The discussion suggests an urgent need for security measures to counteract these emerging threats.

– **Implications for Security Professionals**: The mention of AI-generated deception poses critical questions regarding existing security frameworks and the need for enhancements in detection and preventive measures against such advancements.

– **Need for Enhanced Security Protocols**: Professionals must consider integrating AI security measures into their systems to mitigate risks associated with fraud, including:
– Monitoring and detecting AI-generated content.
– Implementing robust authentication processes.
– Developing AI-aware threat detection protocols.

This content serves as a critical reminder for security and compliance professionals to stay ahead of potential threats that AI technologies pose to financial and informational security. The insights drawn from these conferences can guide organizations in reinforcing their security strategies against AI-enabled fraud.

1 2 2025 5 a Act addresses advancement advancements age AI AI security AI technologies AI-generated content Aker All and ARM art as at ated authentication Authentication Process authentication processes aware being Bi black Black Hat Black Hat conference by C CI CIA Cloud cloud security co Col commit compliance compliance professionals conference content Context critical cyber cybersecurit Cybersecurity cybersecurity events D de deception deep deepfake deepfake detector detection e emerging emerging threats end enhanced security event exp exploit financial for framework frameworks fraud g Gen generated Generated Content GIS H high Highlight HR http HTTPS implications implications for security in information information security insights inter io ite J k l led Li long low M measures misuse Monitor monitoring N no o of on one ons organization organizations oS per potential pre preventive measures pro process processes professionals protocol protocols ps Q question R rate RCE re Risk risks Ro RoT s sec security security and compliance security conferences security events security framework security frameworks security measure security measures security professionals security protocols security strategies side Sig SoC source specific SSE SSO strategies SUSE system systems T tech technologies ted text the threat threat detection threats Time to Tor TP UI US use uth V vents video voice vulnerabilities Ware Wi x z