Collaboration strengthens Corero’s role in securing high-performance AI infrastructure with real-time, ultra-low-latency DDoS protection.
Corero Network Security , the distributed denial of service (DDoS) protection specialists, today announced an expanded partnership with a leading provider of data center and hybrid IT solutions. By deepening this collaboration, Corero is delivering its real-time, ultra-low-latency DDoS protection to a major artificial intelligence company in the Middle East, strengthening its presence in the AI-driven data center industry.
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This collaboration strengthens Corero’s market position by expanding its reach into high-growth industries and geographies, reinforcing the increasing demand for real-time DDoS protection as AI workloads proliferate. Corero’s DDoS mitigation technology is purpose-built for on-premises and hybrid-cloud protection, seamlessly integrating with AI-driven environments that demand maximum uptime and minimal latency.
“We’re excited to strengthen our relationship with a key player in the data center industry and help a leading AI company ensure uninterrupted service availability,” said Carl Herberger, CEO of Corero Network Security. “AI-driven infrastructure requires adaptive, real-time cybersecurity that protects critical workloads without introducing latency.”
A senior executive at the data center provider added, “Partnering with Corero enables us to deliver the most resilient, high-performance AI environments for our customers. With Corero’s ultra-fast detection and real-time mitigation, AI-driven applications stay protected and operational, even under attack.”
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With this enhanced partnership, Corero solidifies its role in the AI-driven data center space, ensuring that companies in this fast-growing sector can maintain secure, high-availability environments. As AI adoption accelerates, the need for ultra-low-latency cybersecurity will only intensify. By integrating advanced data center infrastructure with Corero’s market-leading DDoS defense, organizations can protect their AI workloads without compromising speed or reliability.
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