A developer built Crucible, a system that attacks its own AI agents nightly to uncover security vulnerabilities, and found that Google's Model Armor guardrail failed to block any of the attacks that b…
Google Cloud's Sensitive Data Protection and Model Armor can help enterprises balance protecting sensitive data with maintaining LLM functionality, according to a blog post by Leo Y. The post argues t…
A developer at the All Things Agentic Hackathon built Okimera, a multi-agent system for maritime sanctions compliance, and tested Google's Model Armor prompt-injection filter against a domain-specific…
A developer built an access-certification tool called muster that reviews AI agents on Google Cloud, and discovered that batching fields from an agent card before sending them to Google Cloud Model Ar…
Syam Bandi, Assistant Director of AI Engineering, open-sourced a reference architecture for secure multi-agent conversational AI on Google Cloud, addressing data security and hallucination control for…
The mean time-to-exploit for vulnerabilities has dropped to -7 days, according to the Mandiant M-Trends 2026 report, meaning exploits often occur before patches exist. Mandiant Consulting provides gui…
Google Cloud has released a blueprint for securing AI workloads on Google Kubernetes Engine (GKE), consolidating controls across multiple services to address infrastructure, model supply chain, and ap…
Google Cloud enables administrators to analyze and govern Gemini Enterprise app usage at scale by routing telemetry to BigQuery via log sinks, providing five distinct log tables for deep-dive forensic…
Google Cloud enhanced its Model Armor service for generative AI security after a technical sprint with a major telecommunications customer, using direct developer feedback to overhaul documentation an…
Google Cloud's Model Armor security service can be integrated with LangChain and the Agent Development Kit (ADK) for sanitizing prompts and responses in Generative AI applications. The second installm…