Next-Gen Security Services with Inline AI Inference

* Click on the video to see attachments pertaining to this webinar | The stakes are high for enterprise cybersecurity teams because of the fast-evolving and insidious nature of malware attacks. Malware is morphing faster than a human can respond with thousands of new variants emerging daily. Attackers can modify their existing attacks using machine learning (ML)-based automation to create new variants that bypass signature-based security. To address this challenge Palo Alto Networks (PAN) is building advanced ML-based inferencing capabilities to enable its Edge and Cloud-Delivered Security Services to become more responsive and predictive. While ML-based inferencing is the answer, this workload can be compute-intensive. This webinar session will focus on the collaboration between PAN and Intel to leverage Intel AI technologies in order to optimize the inference performance by optimally using Intel® Architecture CPUs and ML software frameworks. Results of this collaboration will be reviewed and attest to how inference time can be reduced by as much as 6X, using the same server socket used for other workloads. Presenters: - Suiqiang Deng, Distinguished Engineer & Architect, Palo Alto Networks - David Lu, Platform Solution Architect, Intel