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Sunday, 4 October 2026
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TENESYS AI NEWS tracks the most important AI news and explains what changed, why it matters and whether a technology is worth testing.

“RCE” — 3 articles ✕

Cyber Security· Important· 🧪 Worth Testing

GitHub's open-source AI agent found 24 Android app vulnerabilities

GitHub Security Lab built an open-source 'Taskflow Agent' that uses custom AI prompt workflows to audit code for vulnerabilities, and used it to find and report over 24 vulnerabilities in Android applications. Two detailed examples show the agent finding a location-tracking flaw in the OsmAnd navigation app and an account-takeover chain in the Wikipedia Android app via a deeplink parsing bug. The team notes LLMs are strong at finding complex logic vulnerabilities and understand API behavior well, but struggle to correctly judge severity and often produce false positives, so findings still require human review. The taskflows are open source and can be run on any GitHub repository via a Copilot-powered codespace script, though running them consumes premium model requests and can take hours.

GitHub Security
Agents· Important· 🧪 Worth Testing

Google Cloud Launches Remote MCP Server for gcloud and BigQuery CLI Access

Google Cloud introduced, in public preview, a remote MCP server that exposes the gcloud and bq command-line tools to AI agents via two tools: run_gcloud_command and run_bq_command. The server runs in an isolated, network-restricted sandbox on Google Cloud infrastructure, removing the need for agents to install or maintain local CLI binaries. It uses Agent Identity, OAuth 2.0, and IAM for authentication, integrates with Model Armor to screen for prompt injection, and supports Cloud Audit Logging for full visibility into tool calls.

Google Cloud AI
Agents· Important· 🧪 Worth Testing

Google's Antigravity SDK Adds Local Offline Model Support with Gemma 4 26B

Google announced that its Antigravity SDK now supports running agentic workflows locally and offline, with initial support for Gemma 4 26B A4B running via Google AI Edge's LiteRT. Developers can build agents that run entirely on-device, without cloud API costs or internet dependency. Google also demonstrated a hybrid 'Architect-Builder' pattern where a cloud model (Gemini 3.8 Flash) plans tasks and a local swarm of Gemma 4 26B instances does the heavy execution, keeping source code off the cloud.

Google Developers