Shadow Roles: AWS Defaults Can Open the Door to Service Takeover
What if the biggest risk to your cloud environment wasn’t a misconfiguration you made, but one baked into the defaults? Our research uncovered security concerns in the deployment of resources within a few AWS services, specifically in the default AWS service roles. These roles, often created automatically or recommended during setup, grant overly broad permissions, such as full S3 access. These…
Read the full story on Aqua Security BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More in Containers & Kubernetes
What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
AI Reliability Engineering for Dependable Humans | Solo.io
Learn AI reliability engineering (AIRE): how AI agents help SRE and platform teams triage incidents faster and stay dependable.