Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

As threat actors operationalize AI to accelerate attacks, they are also leveraging the wider global interest around AI itself as a social engineering lure. In recent months, Microsoft Threat ...

The AI company's Bumblebee tool tackles your most urgent question after any supply‑chain advisory: Do your programmers have ...

This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats. As email threats grow more sophisticated, accurate detection ...

WASHINGTON — Customers who unsubscribed from Kaiser Permanente marketing texts but kept receiving messages may be eligible for cash as part of a new class action settlement. Kaiser Foundation Health ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Abstract: The growing volume of spam messages poses a major challenge to secure online communication, especially in multilingual contexts. Traditional spam detection systems perform well in English ...

(InvestigateTV) — Scam calls can be infuriating and relentless. “We get, as a nation, on average about 2 billion unwanted or scam calls per month,” Teresa Murray, a Consumer Watchdog at U.S. PIRG, ...

Abstract: Rumor detection focuses on verifying unconfirmed information. Using user feedback within a timeframe enhances the quality of detection. Given the rapid spread and societal impact of rumors, ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...