This week’s ThreatsDay Bulletin covers spyware-laced game cheats, fake installers, infostealer, ransomware, phishing kits, ...

AI agent security now has a purpose-built open-source guardrail: Ant Group released SingGuard-NSFA, a free framework that catches prompt injection and credential-theft patterns before AI agents ...

Discover how the Rogue Agent vulnerability in Google Dialogflow CX enabled persistent AI agent compromise, data exfiltration, ...

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

According to Socket, malicious payment SDK packages on npm and PyPI are harvesting developer credentials and CI/CD ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

The already-small number of colleges with full-fledged, student-enforced honor codes is dwindling. After a three-year pilot of proctored exams, Stanford University student, faculty and administrative ...

We've decided to retire and archive this project - there's just no safe way to run Python within pyodide safely with reasonable latency. Instead, we're working hard on Monty which should solve the ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

Abstract: Code cloning is a common phenomenon in software development, which reduces developers’ programming efforts but also poses risks of defect inheritance. Clone detection locates exact or ...

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...

Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...