Apollo V4 extends industry-leading deepfake detection into the full complexity of real-world communication. Building on Apollo's position at the top of public benchmarks, V4 goes further, delivering robust protection across the compression pipelines of Microsoft Teams, Google Meet, and Zoom, through codec degradation and network variability, and across
Monetary Authority of Singapore (MAS) sounded the alarm on deepfake cyber risks in the financial sector. The report identifies three key threat areas - defeating biometric authentication, impersonation scams, and misinformation.
We’re proud to announce that Aurigin.ai has been awarded 2nd place at the 2025 Swiss Innovation Challenge, the largest innovation competition in Switzerland, out of more than 100 projects across three elimination rounds. This recognition means a lot. Over the past eight months, the Swiss Innovation Challenge has
Swisscom Digital Trust and Aurigin.ai are collaborating to strengthen existing KYC processes with an additional layer of trust and fraud prevention, reinforcing the current framework through voice-based liveness verification and AI deepfake detection.
We’re pleased to announce a collaboration between Aurigin.ai and the Deepfakes Analysis Unit (DAU) of the Misinformation Combat Alliance (MCA India). A partnership aimed at strengthening the verification of AI-generated and manipulated audio content. Empowering fact-checking with advanced audio forensics The DAU, one of India’s leading fact-checking
1291 Group, global leader in bespoke wealth‑protection solutions has partnered with Aurigin.ai to deploy our real‑time, on‑device deepfake detector across its worldwide workforce. Deepfake impersonation fraud is exploding Recent industry research exposes how fast the threat landscape is shifting: * Deepfake audio fraud losses in financial services
“Apollo”, the model we released today, surpasses industry leaders in several dimensions: Its accuracy of 97.7% reduces the error rate of the next-best commercial model by 48.2%. With an ultra-low latency of <50ms it is ideal for real-time applications like securing communication. Starting today, Apollo is available
In July 2025, OpenAI CEO Sam Altman delivered a stark warning at a Federal Reserve conference: cutting-edge AI voice cloning has gotten so good that criminals could soon trigger a “significant fraud crisis” in banking[1]. Altman noted that some banks allow customers to authenticate themselves over the phone using
This week, Swiss banking giant UBS confirmed a breach at a third-party supplier that exposed personal details of 130,000 employees, including the direct phone number of CEO Sergio Ermotti. This massive data leak is more than a privacy nightmare; it’s a fraudster’s dream toolkit. Why? Because armed
Private banks pride themselves on discretion, trust, and personal relationships. One of the most reliable safeguards against fraud in high-value transactions has been callback verification, a simple practice where a banker or relationship manager calls the client to confirm a large transfer instruction. But in the era of generative AI
As of February 2, 2025, the European Union’s Artificial Intelligence Act (AI Act) has implemented a prohibition on AI systems that pose unacceptable risks, underscoring the EU’s commitment to addressing challenges posed by malicious AI applications, including certain uses of deepfakes. Deepfakes, AI-generated or manipulated content that closely
Artificial Intelligence (AI) is evolving rapidly, and as intelligent agents become more autonomous and interconnected, an essential question arises: how will they communicate with each other? While many envision AI systems exchanging data through structured APIs, I argue that AI agents will primarily communicate through natural language—text or speech—