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GITHUB-COPILOT

Github-Copilot

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning AI Security Tools Security Operations
GitHub Releases Copilot Agentic Harness Evaluation

GitHub Releases Copilot Agentic Harness Evaluation

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 GitHub Blog

GitHub has published an evaluation of its Copilot agentic harness, detailing how the orchestration layer performs across multiple underlying models and coding tasks — effectively documenting the architecture of an autonomous, multi-step code generation and execution system. For defenders, this transparency reveals an orchestration surface where prompt injection, supply chain manipulation, and model-switching logic can be targeted across a broader set of model backends than previously understood. Security teams should treat the harness itself as a critical trust boundary, since compromising task routing or model selection logic could silently redirect agentic workflows to less-safe or adversary-controlled model endpoints.

Comment Injection Attacks Hit Claude Code, Gemini, Copilot

Comment Injection Attacks Hit Claude Code, Gemini, Copilot

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 SecurityWeek

A researcher has disclosed a novel prompt injection attack technique dubbed 'Comment and Control,' demonstrating that popular AI coding agents — including Claude Code, Gemini CLI, and GitHub Copilot Agents — can be manipulated through malicious instructions embedded in source code comments. The attack exploits the tendency of agentic coding tools to process and act upon contextual content within files they are tasked to read or modify. This represents a meaningful escalation in the risk surface of AI-assisted software development workflows.

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