Are there any new automated tools that can detect prompt injection attempts before they hit our backend models?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Are there any new automated tools that can detect prompt injection attempts before they hit our backend models?
2 real searches · 1 real-search pass
2026 latest prompt injection detection products runtime input scanning before LLM backend model prompt injection defenseGoogle ↗
OBSERVEDComparison
2026 prompt injection detection tools input firewall LLM guardrails Lakera Protect Prompt Security Protect AI HiddenLayer NVIDIA NeMo GuardrailsGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 latest prompt injection detection products runtime input scanning before LLM backend model prompt injection defense OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
2026 prompt injection detection tools input firewall LLM guardrails Lakera Protect Prompt Security Protect AI HiddenLayer NVIDIA NeMo Guardrails OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |