The ubiquitous data streaming through the Internet of Things (IoT) creates security risks. Intrusion detection systems (IDS) based on machine learning can support user security. Generative Artificial ...

COIMBATORE: The Southern Railway is set to introduce an optical fibre-based Intrusion Detection System (IDS) to prevent wild ...

As the digital transformation accelerates, the need for robust cybersecurity measures has never been more critical. Organizations are increasingly turning to Artificial Intelligence (AI) to enhance ...

Vehicular Ad hoc Networks (VANETs) are vulnerable to various types of attacks. Intrusion Detection System (IDS) based on machine learning can effectively detect malicious network attacks in VANETs.

June, UK-based firms Wavefront Systems, MARSS and Forcys conducted a staged series of intrusion attempts designed to simulate ...

Each party to offer Palladyne™AI’s embodied neuro-symbolic artificial intelligence Software bundled with Mobilicom’s OS3 cybersecurity solution Palo Alto, California, and Salt Lake City, Utah, June 26 ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

CERT-In has urged individuals to update their passwords immediately, enable multi-factor authentication (MFA), and switch to passkeys wherever possible ...

Today’s cybersecurity landscape is complex and unforgiving. Remote work, Saas, AI Agents, cloud migration, and ever-evolving cyber threats have exposed the limitations of relying on standalone ...

Signature-based systems like traditional intrusion detection systems (IDS), for example, can struggle with subtle or long-term behavioral threats or when threat actors employ modern AI-driven ...