Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...
One of Kalshi’s most prominent traders tells WIRED he’s swearing off Spotify-related markets until the issue is resolved.
The AP/“FRONTLINE” investigation was based on tens of thousands of leaked scam center files, videos and photos; an analysis with C4ADS of misuse of artificial intelligence at scam centers; an ...
Widely available AI is making payment fraud easier to perpetrate and harder to detect, raising the stakes for controls, ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
The most recent variants of the self-propagating attacks are named Miasma and Hades. The payload used in the Red Hat attack contained the string “Miasma: The Spreading Blight”, which appeared in ...
Abstract: Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud ...
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
The Russian state-sponsored hacking group known as Turla has transformed its custom backdoor Kazuar into a modular peer-to-peer (P2P) botnet that's engineered for stealth and persistent access to ...
Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...
AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...
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