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 ...

Abstract: With the increasing communications between the In-Vehicle Networks (IVNs) and external networks, security has become a stringent problem. In addition, the controller area network bus in IVN ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Widely available AI is making payment fraud easier to perpetrate and harder to detect, raising the stakes for controls, ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Abstract: The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologies allows ...

Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...