Neural Defend, an AI-driven cybersecurity startup specializing in deepfake detection, has successfully raised over $600K in a pre-seed funding round. Inflection Point Ventures (IPV) led the round, with participation from MIT SBXI, Techstars San Francisco, and Soonicorn Ventures. The investment will be utilized to strengthen the company’s proprietary AI technology and expand research and development efforts, focusing on real-time, multimodal deepfake detection.
With AI-generated fraud posing a growing challenge across industries, Neural Defend has already begun pilot projects in New York and Singapore. These trials demonstrate the real-world application of its agentic AI-powered deepfake detection technology, which identifies manipulated media across video, image, and audio formats. The company’s technology aims to provide financial institutions, enterprises, and government agencies with a robust security layer against digital identity fraud.
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Neural Defend is led by Piyush Verma, Sivashankar Selvarajan, and Sumit Singh, each bringing expertise in AI, cybersecurity, and large-scale data analytics. Their experience in research, AI-driven security, and financial technology has positioned the company as a significant player in the fight against digital deception. The company’s acceptance into the Techstars accelerator in San Francisco further highlights its innovation and industry relevance.
With deepfake-related cyber threats on the rise, the demand for real-time AI-driven fraud detection solutions is increasing. Neural Defend is currently collaborating with fintech companies and financial institutions to validate its technology for video verification and KYC processes. The startup’s approach ensures comprehensive fraud prevention for businesses worldwide, reinforcing the critical need for advanced cybersecurity solutions.