Reco Integrates Cyera to Prioritize AI Agent Risk
Reco announced in a press release an integration with Cyera that shows security teams which AI agents can reach sensitive data. Reco ingests Cyera's data classification labels, such as financial, health and regulated records, and combines them with its own map of agent identities, permissions and app connections.
Teams can then see how an agent's access was granted, which other systems it can connect to and whether its activity deviates from normal, and prioritize remediation for agents that can reach the most sensitive data.
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Whitepaper
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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