Can foundation models, combined with AI technology, improve SIEM systems while enhancing security efficiency between these ...

Organizations relying on standard security tools may miss sophisticated APT techniques unless they implement specialized ...

It also constructs a campus network security intrusion detection model based on feature segmentation and deep learning. Through experimental verification, the effectiveness of the system in intrusion ...

Customer Support: AI-powered chatbots use NLP to provide ... Autonomous Systems The development of self-driving cars relies heavily on deep learning for object detection, navigation, and decision ...

The intrusion detection model has achieved an accuracy of 95.0%, and the loss function value is 0.15. Compared with other deep learning models, it is more robust and performs better in intrusion ...

The circuit diagram ... the system. Explore similar DIY projects that use techniques like facial recognition and heart rate monitoring to detect driver drowsiness and keep you safe with timely alerts ...

Because we believe the goal of a deep learning framework is to ... by leveraging multiple optimization techniques described below. Click on each section for more details 👇 Automatic kernel fusion 💥 ...

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...

CEO Samir Dhir said that the company is pursuing a $34 million pipeline in AI programs with over 100 clients. He brings over three decades of expertise in the GCC ecosystem and consulting, having ...