From prompt injection to deepfake fraud, security researchers say several flaws have no known fix. Here's what to know about them.

By Ben TAGOE In the modern cybersecurity landscape, computer networking serves as both the foundation of organizational ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...

PARIS (AP) — The head of the Louvre Museum said Wednesday that new surveillance cameras and anti-intrusion systems will soon be installed at the Paris landmark after last month’s stunning crown jewels ...

Musk has explored a distributed AI inference approach that leverages Tesla's fleet of EVs. That means each car becomes a high-performance AI processing node when not driving. Read Next: Nvidia, Oracle ...

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Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...

Abstract: Traditional intrusion detection systems (IDSs), leveraging machine learning (ML) algorithms, have improved the detection accuracy of unknown attacks by continuously updating ML models but ...