Vectra AI and Zscaler Enhance SASE Traffic Visibility
Vectra AI and Zscaler have expanded their alliance to provide enhanced visibility into Secure Access Service Edge (SASE) traffic, announced in a press release. This collaboration integrates Vectra AI's network detection and response (NDR) capabilities with Zscaler's cloud security solutions, offering comprehensive threat detection and response.
The integration allows Vectra AI's platform to ingest telemetry from Zscaler's Zero Trust Exchange, enhancing capabilities for threat hunting, lateral movement detection, and forensic analysis. This development aims to simplify security operations and enforce Zero Trust principles effectively.
By incorporating Zscaler Internet Access and Zscaler Private Access, the joint solution provides a holistic view of network traffic, addressing the critical need for comprehensive threat detection in remote and hybrid work environments. This expanded partnership builds on their previous collaboration, focusing on delivering seamless security solutions that support evolving enterprise needs.
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Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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