Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

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

A robust intrusion prevention system (IPS) is crucial for enhancing cybersecurity. Built to detect and block potential threats actively, an IPS responds before harm can be caused to a system or the ...

Intrusion Inc. INTZ recently unveiled Shield Sentinel, a high-performance cybersecurity monitoring solution tailored for large enterprises and carriers. Designed to tackle complex network environments ...

As AI continues to accelerate how quickly attacks can change, defenses built on static assumptions will continue to fall ...

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. If ...

Study of 100+ energy OT sites reveals unpatched devices, flat networks, and hidden assets, with critical issues detected within minutes.

Avigilon Alta Intrusion is an advanced, AI-powered intrusion detection system that combines video and audio analytics, sensor data, and a robust rules engine for swift and accurate threat detection.

Twenty-one nations signed and launched the so-called Pall Mall Process Code of Practice for States to establish guidelines regarding the development, facilitation, purchase, transfer and use of ...

Read more about Renewable energy grids face growing cyber threats: Can digital forensics help? on Devdiscourse ...

Automated intrusion management eliminates reliance on manual processes, reducing errors and ensuring systems are automatically armed when needed. Operators can configure automated schedules, enforce ...