Agentic · GitHub Blog
Hack the AI agent: Build agentic AI security skills with the GitHub Secure Code Game
Compiled by KHAO Editorial — aggregated from 1 outlet. See llms.txt for citation guidance.
★ Tier-1 Source
The reporter was scrolling through their feed one evening when the reporter came across OpenClaw, an open source personal AI assistant that people were calling everything from “Jarvis” to “a portal to a new reality.” The idea is beautiful: an AI that lives on your machine or in the cloud, talks to you over WhatsApp or Telegram, clears your inbox, manages your calendar, browses the web, runs shell commands, and even writes its own plugins.
Key facts
- Think about CVE-2026-25253 (CVSS 8.8 – High): Known as “ClawBleed” or the one-click Remote Code Execution (RCE) vulnerability
- And Cisco’s State of AI Security 2026 report highlighted that while 83% of organizations planned to deploy agentic AI capabilities, only 29% felt ready to do so securely
- The OWASP Top 10 for Agentic Applications 2026, developed with input from over 100 security researchers, now catalogues risks like agent goal hijacking, tool misuse, identity abuse, and memory
- Special thanks to Rahul Zhade, Staff Product Security Engineer at GitHub, and Bartosz Gałek, creator of Season 3, for testing and improving Season 4
Summary
Their first reaction was the same as everyone else’s: this is incredible. Their second reaction was…different. The reporter started thinking about what happens when that kind of power meets a malicious prompt. The Secure Code Game is a free, open source in-editor course where players exploit and fix intentionally vulnerable code. Season 2 expanded into multi-stack challenges with community contributions across JavaScript, Python, Go, and GitHub Actions.