identifAI has been recognised as a pioneer of real-time content validation by Gartner.
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IdentifAI, the start-up founded by Marco Ramilli and Marco Castaldo, releases its new models for the detection of artificial voice generated by AI systems.
IdentifAI, a dynamic and rapidly growing company, leverages an advanced artificial intelligence platform that detects and authenticates digital content, ensuring reliability in distinguishing authentic media from those generated or manipulated by AI.
This latest release represents a significant step forward in the detection of non-human content, complementing IdentifAI’s already established expertise in determining the origin of images and videos. The newest frontier, for now, appears to be digital sound manipulation, which raises serious implications in terms of security and identity protection, as well as broader ethical and social concerns.
In fact, beyond the obvious risks of fraud across multiple sectors (banking, insurance, real estate, tourism, commerce, etc.), there emerges a serious issue of identity theft through the use of audio deepfakes. In sensitive domains, this could lead to severe damage to national security, the protection of industrial secrets, or even trigger situations of social alarm. It therefore becomes absolutely essential for companies, institutions, and individuals to equip themselves with appropriate tools capable of reliably detecting the origin of vocal content—safeguarding their security and upholding IdentifAI’s motto: We Stand For Truth.
The growing integration of AI into both the professional sphere and everyday life demands increasingly advanced and trustworthy technological solutions, able to guarantee citizens the ability to recognize human contributions as distinct from those artificially generated.
“We decided to develop generative models for artificial voice detection,” commented Marco Ramilli, Founder of IdentifAI, “because today it is no longer just a matter of technology, but of trust in the future. New forms of vocal fraud, fueled by increasingly convincing deepfakes, are becoming a concrete threat to citizens, businesses, and institutions. A paradigm shift is needed: we cannot simply detect the artificial after the fact—we must anticipate it.”
