Corsha Secures $18M Series A-1 Funding for M2M Communication Security
Corsha has announced an $18 million Series A-1 funding round led by SineWave Ventures, with participation from Razor's Edge Ventures and Ten Eleven Ventures, announced in a press release. This funding aims to bolster Corsha's efforts in securing machine-to-machine (M2M) communication for operational systems and critical infrastructure.
Corsha's platform addresses the growing need for secure M2M communication as machine identities increasingly outnumber human identities. The company provides a Machine Identity Provider (m-IdP) that syncs with traditional identity providers like EntraID and Amazon IAM, offering dynamic machine identities and multi-factor authentication for machines.
The new funding will support Corsha's expansion plans, including growing its Go-to-Market team, launching Corsha Labs, and scaling the use of AI/ML in its m-IdP to enhance identity and access management for M2M communication. Corsha has already demonstrated its capabilities in challenging technology environments, such as the U.S. public sector, and plans to extend its platform globally.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 Intuit Agrees to Acquire AI Billing Startup Sequence for Reported $200 Million Oct 16 Matters Raises $5 Million to Build AI Consumer BankIndustrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
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 moreYou may also like
Brahma AI Raises $150 Million for Research and Global Expansion
ARCYN Defense Joins MassChallenge Security Program
Symbe Raises $5.7 Million for AI Sales Platform
V-Key Makes Majority Investment in CloudsineAI
d-Matrix Corsair Named to Fast Company Technology List
Daily AI Brief: the AI news that matters, in your inbox.