Dataminr Expands AI Capabilities with Intel Agents for Real-Time Intelligence
Dataminr has expanded its Intel Agents to encompass real-time events in the physical world, announced in a press release. This advancement in Agentic AI allows for the autonomous provision of critical context at the speed and scale of AI, transforming how organizations understand and respond to events globally.
The Intel Agents utilize Dataminr's domain-specialized large language models (LLMs) to continuously analyze data from over a million public sources. This enables them to autonomously ask and answer questions about unfolding events, providing actionable insights for various sectors, including emergency response, defense, cybersecurity, and corporate security.
Currently available in private beta for select customers, the Intel Agents are expected to be generally available by November 2025. This development marks a significant milestone in Dataminr's AI innovation roadmap, with future plans to introduce tailored contextual intelligence and predictive capabilities.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from: Cybersecurity
Subscribe to Cybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
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.
Read more