How is your enterprise tracking AI agent telemetry? Groundcover thinks it should never leave your cloud
THE SO WHAT
Agent observability is becoming its own category—and the control point is where that telemetry lives. If you're deploying agents against sensitive workflows, treat logs and traces like production data and bias toward in-cloud, first-party, or self-hosted observability over third-party SaaS.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIDisrupting a Criminal Scam Operation
AI-native fraud is now organized enough that labs are running counter-intel ops against specific scam shops. If your product touches payments, dating, or gambling, assume you’re already in an arms race with LLM-augmented fraud rings and budget for continuous abuse tooling, not one-off rules.
Applied AIDid China build a top-tier AI model by itself? A new report suggests Nvidia chips played a role.
If Alibaba’s Moonshot access to Nvidia H200s holds up, the line between ‘indigenous’ and ‘foreign’ AI capability is more porous than export-control narratives suggest. For operators, assume top-tier models from sanctioned markets may still be trained on Western silicon and plan competitive and compliance posture accordingly.
Applied AIHugging Face Doesn’t Want to Sue OpenAI. It Does Want $100 Million
A $100 million ask after a cyberattack underscores that open-source AI infra is now treated as critical shared plumbing, not a side project. If you depend on community platforms, recheck your own incident response and data exposure assumptions instead of assuming upstream will absorb all the blast radius.
Applied AIGoogle nixes its Earth AI feature one day after launch, amid criticism it would spread misinformation
Killing an AI Earth-editing feature in 24 hours is a clear signal that geospatial deepfakes are a third rail for platforms. Any product that blends synthetic and real-world maps now needs pre-baked abuse cases, provenance, and rollback plans before launch, not as an afterthought.