Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...
In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
Awareness of all the ways prompt injection can be effected will help security teams spot a new generation of attacks.
Chatbots now place orders, code assistants push updates, and autonomous agents comb production databases while you sleep.
A critical prompt injection vulnerability in GitHub Agentic Workflows could allow unauthenticated attackers to leak private repository data, ...
Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.
Microsoft has pushed back against claims that multiple prompt injection and sandbox-related issues raised by a security engineer in its Copilot AI assistant constitute security vulnerabilities. The ...
Three security vulnerabilities in the official Git server for Anthropic's Model Context Protocol (MCP), mcp-server-git, have been identified by cybersecurity researchers. The flaws can be exploited ...
Malicious web prompts can weaponize AI without your input. Indirect prompt injection is now a top LLM security risk. Don't treat AI chatbots as fully secure or all-knowing. Artificial intelligence (AI ...
A prompt injection attack can trick GitHub’s preview Agentic Workflows into retrieving content from private repositories and ...
Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.
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