Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect performance anomalies using deep learning.

The AI-powered platform monitors data centre systems, enabling early detection and intervention to reduce maintenance risks.

Many education institutions have a troubling gap in AI security: AI systems affecting students, including minors, deployed ...

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 ...

For years, cybersecurity strategy revolved around a simple goal: keep attackers out. That mindset no longer matches reality.

IRIS Software Group has launched its first phase of its AI-powered tax anomaly detection tool, transitioning from a compliance software provider into AI-powered tax preparation partner. The AI-powered ...

In 2026, AIoT evolves into a decentralized ecosystem where edge intelligence and agentic AI replace cloud-centric models, ...

Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Useful AI systems are observable. You can trace their inputs, inspect their decisions and measure their impact. When an AI assistant recommends a change to a Kubernetes deployment, an operator should ...