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LLM Guard

LLM Guard is a security toolkit for generative-AI apps that scans inputs & outputs, surfaces actionable insights, and inspects models themselves—so enterprises can enforce protection, run systematic tests, and fix risks at scale.
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LLM GuardLLM securityAI safetysecure generative AIinput output scanningmodel threat detection

Features of LLM Guard

IO Scanner blocks prompt-injection, PII leakage and toxic outputs in real time
Layer delivers prioritized, fix-ready insights for security teams operating at scale
Recon runs a full-spectrum AI red-team campaign in hours—450+ attacks, agent probes, custom payloads
Guardian audits any mainstream model format for deserialization bugs, backdoors and runtime threats
End-to-end framework built on Secure-by-Design principles
Modular components deploy standalone or drop into existing SecOps pipelines with zero friction

Use Cases of LLM Guard

Security teams who need instant, actionable visibility into large-scale LLM risks
Evaluating RAG or agent-based apps for compliance before go-live
Continuous monitoring of production AI behavior and emerging threats
Red-team exercises using Recon to map weaknesses and validate defenses
Plugging AI-specific tests into current vuln-management workflows
Model-level audits that pinpoint root cause and remediation paths

FAQ about LLM Guard

QWhat exactly is LLM Guard?

A security toolkit for generative-AI applications that combines input/output scanning, threat intelligence and model inspection to protect large language models in production.

QWhat are the core modules?

IO Scanner for traffic filtering, Layer for prioritized insights, Recon for automated red-teaming, and Guardian for deep model audits—covering the full LLM attack surface.

QHow is it deployed?

Each component can be used standalone or integrated into existing CI/CD, SIEM or red-team tooling, scaling horizontally with your infrastructure.

QWhat makes Recon unique?

It finishes a comprehensive AI red-team run in under four hours, ships with 450+ curated attacks, probes AI agents, and lets you import custom payloads.

QWhich threats does Guardian catch?

Guardian inspects popular model files for deserialization exploits, architectural backdoors, supply-chain tampering and runtime anomalies.

QWhat ROI can we expect?

Faster risk identification, shorter remediation cycles and evidence-ready reports that satisfy both security leadership and regulators.

QIs there an open-source version?

Yes—community edition available at https://github.com/protectai/llm-guard.

QWho should use LLM Guard?

Enterprises running large LLM fleets, security teams overseeing AI adoption, and any organization that needs provable AI compliance.

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