Identity-based attacks have become a major driver of successful cyberattacks, with AI making these schemes even more convincing. With stolen or phished credentials, attackers can gain access to backup ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

Confluent Intelligence adds Streaming Agents into the mix to enable agent-to-agent collaboration - SiliconANGLE ...

Polystar, part of Elisa Industriq, will introduce four new AI‑driven capabilities at Mobile World Congress 2026, further strengthening how telecom operators manage network complexity and service ...

PRNewswire/ -- dxFeed, a global provider of market data and financial technology solutions, announced a major upgrade to Grenadier, introducing the second generation of its AI-powered anomaly ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Critical infrastructure—power grids, water treatment facilities, transportation networks, healthcare systems, and industrial manufacturing—has become a prime target for cybercriminals and ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes ...

Secure your MCP metadata streams with post-quantum encryption and AI-driven anomaly detection. Learn to stop puppet attacks and tool poisoning in AI infrastructure.