Agent Anomaly Detection, now in Private Preview on the Gemini…
Agent Anomaly Detection is a new, out-of-band oversight layer for the Gemini Enterprise Agent Platform that analyzes OpenTelemetry traces and tool calls to catch behavioral risks without adding runtime latency…
Read MoreBuild zero-trust AI agents that judge intent, not just syntax
This blog post explores how to transition AI agents from static, build-time security controls to dynamic runtime governance using the Gemini Enterprise Agent Platform. It highlights three primary managed defenses:…
Read MoreAutonomous LLM post-training with Tunix on TPUs
The "autofinetune" project introduces an autonomous research loop that fully automates LLM post-training workflows, including Supervised Fine-Tuning (SFT) and Reinforcement Learning via GRPO. By defining boundary conditions and evaluation metrics…
Read MoreThe Anatomy of Harness Engineering: How to Evaluate, Iterate, and…
While end-to-end benchmarks like SWE-bench provide broad performance scores for AI agents, they are often expensive, slow, and lack the root-cause diagnostics needed to explain exactly where an agent's logic…
Read MoreAnnouncing ADK for Kotlin 1.0: Building Production-Ready AI Agents in…
Google has officially released version 1.0 of the Agent Development Kit (ADK) for Kotlin, achieving full feature parity with the Python and Java ADK cores to enable idiomatic, multi-agent AI…
Read MoreDriving Developer Excellence: Inside the Program Sprints
The Gemini Enterprise Developer Experience (DevEx) program conducts ongoing sprint testing of end-to-end developer workflows to identify and rapidly resolve friction points without relying on internal shortcuts. This recent sprint…
Read More4 engineering patterns behind the strongest AI Agents Challenge submissions
The recent Google for Startups AI Agents Challenge revealed that the most successful multi-agent systems rely on foundational software engineering patterns rather than just raw model power. Winning architectures consistently…
Read MoreDecoding cosmic signals with deep learning and Keras
Astroparticle physics sits at the exciting intersection of astrophysics and particle physics and stu...
Read MoreEnterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU
Google Cloud has natively integrated TPU support into the vLLM serving engine, allowing developers to elastically scale high-demand embedding pipelines using Google Kubernetes Engine (GKE). To handle massive 15K+ token…
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