Why Is ML-Driven Anomaly Detection Important for Preventing Malicious Signature Requests?

Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning ...

ARTERY Announces AT32 Edge AI Sensor EV Board for Multi-Sensor Gesture, Motion, and Anomaly Detection

With artificial intelligence rapidly advancing toward end devices, Edge AI has become a critical technology driving ...

Beyond Fraud Detection: Agentic AI And Changes In Healthcare Integrity

The quiet revolution in healthcare integrity will not make headlines. It will unfold in faster decisions, fewer disputes and ...

CyberSLOP: Defending Your Organization From High-Volume AI Threats

SLOP—synthetic low-quality content—is spreading beyond media into IT, code and cybersecurity. Here's how leaders can ensure ...

Routine first trimester ultrasounds lead to earlier detection of fetal anomalies, finds study

Scanning for serious structural issues in fetuses during the first trimester can result in earlier detection of these issues, ...

Agentic AI is the hacker’s new accomplice

The details of the attack merit close attention. Anthropic says that hackers used its agentic coding agent Claude Code to ...
HealthDay on MSN

First-Trimester Ultrasounds Detect 40 Percent of Anomalies

Routine first-trimester ultrasounds lead to earlier detection of fetal anomalies, according to a study published online Nov.
News-Medical.Net on MSN

Early first trimester scans improve detection of major fetal anomalies

Scanning for serious structural issues in fetuses during the first trimester can result in earlier detection of these issues, ...

How Allan Grosvenor is enforcing reliability at scale by redefining AI for engineering and operations

Allan Grosvenor, founder of MSBAI (Microsurgeonbot Inc.) and co-founder of Tam Fortis Solution and Nexcavate, recognizes this ...
Dark Reading

With AI Reshaping Entry-Level Cyber, What Happens to the Security Talent Pipeline?

Automation is rewriting early-career cybersecurity work. How will the next generation of security professionals gain ...
TMCnet

Maintain Regulatory Compliance in OT Environments With 5 Best Cybersecurity Solutions

Cyber attacks are increasingly targeting operational technology (OT) systems that run factories and other critical ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...