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AI · August 12, 2026

glc PromptGuard

Stop prompt injection before it reaches your AI agent

glc PromptGuard launched on August 12, 2026 with 3 votes, #2,940 of 23,274 launches that month and more than 50% of that year's launches.

What it does

glc PromptGuard is an eight-layer, multilingual prompt-injection defense for AI agents and RAG pipelines. It combines normalization, structural signals, framing awareness, intent classification, source-aware policy merging, a neural sensor, RAG/tool spotlighting, and an optional canary probe. Evaluated through millions of end-to-end runs built from several hundred thousand multilingual attack and benign examples. Available via remote MCP and REST, with 100 free credits for every account.

Host-side prompt injection gate for orchestrators on GLC MCP. Call before every LLM call — returns injection score and policy; optional session_id sticky…

CRITICAL: Call from your orchestrator BEFORE every main LLM call (never via model tool-choice). Evaluates intent × source context × impact — not keyword-only. Layered stack: normalize/multi-view → structural → discourse framing → intent → soft neural (attack + discourse + gated semantic) → policy floors; optional sticky session risk (session_id), spotlight/canary. Primary result: injection=true|false; also score, intent, policy, optional spotlight. context=user_prompt|rag_chunk|tool_result changes policy. Optional session_id enables multi-turn risk floor (same chat/run id each turn). Canary is a secondary tool-hijack probe only. Delta only — not full chat history. Not 100% security: host…from mcp.glc-rag.hu

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