AI or Not Secures $5M to Combat AI-Generated Deepfakes and Fraud

In a significant move to bolster its fight against AI-generated deepfakes and fraud, AI or Not has successfully completed a seed funding round, raising $5 million to enhance its capabilities. Led by Foundation Capital, the funding round also saw participation from GTMFund, Plug and Play, and several strategic angel investors, underscoring the urgent need for robust technology in this domain.

Innovative Technology for a Growing Threat

AI or Not’s platform employs cutting-edge AI technology to combat the rising misuse of AI in creating fake images, audio, and video content. Its success is evident with over 250,000 users relying on its services to verify the authenticity of digital content. Amid a surge in AI scams, viewed as a severe threat by corporate finance professionals, the need for such technology is more pressing than ever. Predictions indicate generative AI scams could soon result in over $40 billion in losses in the U.S., highlighting the critical role AI or Not plays in safeguarding digital environments.

Proprietary Algorithms Ensuring Authenticity

The company leverages proprietary algorithms to scrutinize and validate the authenticity of diverse content types, from deepfakes impersonating public figures to AI-generated music on streaming platforms. Recent consumer backlash against companies like Meta has further illuminated the desire for transparency and authenticity in digital content. AI or Not’s technology directly addresses this demand by providing tools that can detect and prevent fraudulent AI-driven content.

Strategic Backing and Vision

Foundation Capital partner Zach Noorani emphasized the importance of AI or Not’s innovative approach to tackling AI-generated misinformation and fraud. He highlighted how the platform’s capabilities are critical to maintaining trust and security in the digital age. CEO Anatoly Kvitnisky echoed these sentiments, stating that the newly acquired funds would support the company’s mission to foster a safer digital world. This will be achieved by equipping users with the means to identify and thwart AI-driven fraud and misinformation.

Dedicated Team Behind Advanced Solutions

A small but dedicated team of seven members stands behind AI or Not, bringing advanced, real-time tools to the table. Their collective effort focuses on ensuring the authenticity of digital content, thereby helping to maintain public trust in an era increasingly dominated by AI-generated media.

Moving Forward with Enhanced Security

In a pivotal step to strengthen its efforts against AI-generated deepfakes and fraudulent activities, AI or Not has successfully concluded a seed funding round, securing $5 million to expand its technology and capabilities. The funding was spearheaded by Foundation Capital and included contributions from GTMFund, Plug and Play, alongside several strategic angel investors. This substantial investment highlights the pressing demand for advanced technological solutions to combat the growing threat of deepfakes and digital fraud.

The raised capital will enable AI or Not to enhance its machine learning algorithms, improve detection accuracy, and develop more sophisticated tools to identify and mitigate fraudulent content. The involvement of prominent investors underscores the critical importance of addressing these challenges, as deepfakes and other forms of digital deception continue to proliferate. By leveraging this funding, AI or Not aims to stay at the forefront of innovation in the battle against digital fraud, ensuring the integrity and trustworthiness of digital media.

Explore more

How Is the New Wormable XMRig Malware Evolving?

The rapid transformation of cryptojacking from a minor background annoyance into a sophisticated, kernel-level security threat has forced global cybersecurity professionals to fundamentally rethink their entire defensive posture as the landscape continues to shift through 2026. While earlier versions of Monero-mining software were often content to quietly steal idle CPU cycles, the emergence of a new, wormable XMRig variant signals

How Is AI Accelerating the Speed of Modern Cyberattacks?

Dominic Jainy brings a wealth of knowledge in artificial intelligence and blockchain to the table, offering a unique perspective on the modern threat landscape. As cybercriminals harness machine learning to automate exploitation, the gap between a vulnerability being discovered and a breach occurring is shrinking at an alarming rate. We sit down with him to discuss the shift toward identity-based

How Will Data Center Leaders Redefine Success by 2026?

The rapid transition from traditional cloud storage to high-density artificial intelligence environments has fundamentally altered the metrics by which global data center performance is measured today. Rather than focusing solely on the speed of facility expansion, industry leaders are now prioritizing a model of intentional, long-term strategic design that balances computational power with environmental and social equilibrium. This evolution marks

How Are Malicious NuGet Packages Hiding in ASP.NET Projects?

Modern software development environments frequently rely on third-party dependencies that can inadvertently introduce devastating vulnerabilities into even the most securely designed enterprise applications. This guide provides a comprehensive analysis of how sophisticated supply chain attacks target the .NET ecosystem to harvest credentials and establish persistent backdoors. By understanding the mechanics of these threats, developers can better protect their production environments

How Does Diesel Vortex Threaten Global Logistics Security?

The Emergence of Targeted Cyber Threats in the Supply Chain The global logistics industry has evolved into a hyper-connected network where the physical movement of cargo is now entirely inseparable from the complex digital systems that manage international freight flow. This digital backbone ensures the movement of goods across borders, but it has also attracted specialized cybercrime organizations like Diesel