Latest cybersecurity reporting from selected sources.

Closed AI Loops Are Concentrating Power - and Creating Room for StartupsMicrosoft, Nvidia and Anthropic just formed the latest closed-loop artificial intelligence partnership, tying cloud, hardware and models into a single circuit. While it signals consolidation at the top, founders say it's also creating a surprising tailwind for domain-focused AI startups.

Last year's winner scored a $65M funding round on a $300M valuation Cloud and AI security startups have two weeks to apply for a program that fast-tracks access to investors and mentors from Amazon Web Services, CrowdStrike, and Nvidia.…

Cybersecurity researchers have disclosed a critical container escape vulnerability in the NVIDIA Container Toolkit that could pose a severe threat to managed AI cloud services

Together, we are focused on securing the full AI lifecycle—from development and training to deployment and inference—across cloud, data center, and AI factories.

The vulnerability, discovered by Wiz researchers, affects both cloud-based and on-premises AI applications using the toolkit

A critical vulnerability in NVIDIA Container Toolkit impacts all AI applications in a cloud or on-premise environment that rely on it to access GPU resources. [...]

33% of cloud environments using the toolkit impacted, we're told A critical bug in Nvidia's widely used Container Toolkit could allow a rogue user or software to escape their containers and ultimately take complete control of the underlying host.…

Discover Trend Micro's integration of NVIDIA NIM to deliver an AI-driven cybersecurity solution for next-generation data centers. Engage with experts, explore demos, and learn strategies for securing AI data centers and optimizing cloud performance.

Reverse engineering yields sticky microarchitectural vulnerabilities Nvidia's ultra-dense GPU-driven AI training and inference systems are prone to covert and side channel attacks, according to research just published from a team led by Pacific Northwest National Laboratory (PNNL). This might be less concerning for those with on-prem DGX systems, but for cloud vendors selling time on the AI training boxes, the vulnerabilities are worth noting.…