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 ...

There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

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

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

Self-correcting supply chains mark a shift from reactive analytics to proactive adaptation: AI that can detect disruption, ...

What Are Non-Human Identities and Secrets Security Management? How does one navigate the intricate web of cybersecurity if non-human identities are participating in networks as much as humans? The ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company’s xLake ...

As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on ...

Artificial intelligence is transforming the way we explore the Moon. In a recent SETI Live, authors Adam Lesnikowski and Daniel Angerhausen, hosted by Franck Marchis, a Senior Planetary Astronomer at ...

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

In the fast-evolving digital landscape, cybersecurity remains a top priority for businesses. As cyber threats become more sophisticated, leveraging Artificial ...