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glc PromptGuard
Stop prompt injection before it reaches your AI agent
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.
We built glc PromptGuard because production AI agents need more than a keyword filter. Untrusted text can arrive through users, retrieved documents, and tool outputs, so the service evaluates each new text delta with eight complementary detection layers and returns a clear verdict plus structured policy hints.
The current version was evaluated through millions of end-to-end runs built from several hundred thousand multilingual attack and benign examples. In our latest live full-pack test, version 0.3.25 passed 1001 of 1004 cases; the three misses were the same known Hebrew scientific-abstract hard negative, classified as a false positive. We publish the methodology and versioned summary for security reviewers.
Integration is intentionally simple through remote MCP or REST. Every human or agent account receives 100 free credits; typical checks use 1–2 credits.
About glc PromptGuard on Product Hunt
“Stop prompt injection before it reaches your AI agent”
glc PromptGuard was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #146 on the daily leaderboard. 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.
On the analytics side, glc PromptGuard competes within Artificial Intelligence — topics that collectively have 475.9k followers on Product Hunt. The dashboard above tracks how glc PromptGuard performed against the three products that launched closest to it on the same day.
Who hunted glc PromptGuard?
glc PromptGuard was hunted by Attila Pergel. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of glc PromptGuard including community comment highlights and product details, visit the product overview.
Attila Pergel