LangProtect Armor is a runtime AI security solution built to protect enterprise AI applications, copilots, LLM workflows, and production AI systems. It adds a security layer around AI applications so organizations can inspect prompts and model responses in real time before risky content reaches the model, application, downstream system, or end user.
What LangProtect Armor does
Armor evaluates both AI inputs and outputs to identify threats such as prompt injection, jailbreak attempts, sensitive data exposure, personally identifiable information (PII), protected health information (PHI), credentials, secrets, unsafe content, malicious URLs, and policy violations.
Instead of relying only on model-level safety settings, Armor gives security and engineering teams independent controls that can block, redact, warn, or apply policies when risky AI interactions are detected.
LangProtect’s security architecture supports multi-layer input and output scanning, real-time threat blocking, configurable security policies, custom scanners, monitoring, analytics, and audit visibility.
Runtime security for production AI applications
Armor is designed for teams building or operating AI-powered applications such as enterprise copilots, customer-support assistants, internal LLM tools, AI chatbots, healthcare AI systems, financial AI workflows, and SaaS products with generative AI features.
Security policies can be applied across different use cases so organizations can define what AI applications are allowed to process, generate, or expose.
Key capabilities
Runtime AI guardrails
Prompt injection protection
Jailbreak detection
AI data loss prevention
PII and PHI detection
Secrets and credential protection
Input and output scanning
Real-time threat blocking
Policy enforcement
Custom security rules
AI security monitoring
Threat analytics
Audit logs and reporting
Compliance-oriented controls
LangProtect’s platform also supports configurable policy templates, multi-layer scanning, real-time monitoring, and custom detection logic for organizations that need controls beyond basic LLM moderation.
Why runtime AI security matters
Production AI applications interact with sensitive data, users, APIs, and business workflows every day. Armor helps teams add security controls directly into that runtime layer, giving organizations greater visibility and control over risky prompts, unsafe outputs, sensitive data exposure, and policy violations without slowing AI adoption.
Who LangProtect Armor is for
Armor is built for AI engineers, developers, security teams, platform teams, CISOs, and enterprises deploying LLM-powered applications into production.
It is particularly relevant for organizations that need to protect sensitive data, enforce AI security policies, reduce prompt injection risk, and maintain visibility into how production AI applications behave.
Rather than treating security as an afterthought, Armor places enforcement directly in the runtime path of AI interactions.
LangProtect Armor is part of the https://www.langprotect.com/" title="LangProtect Enterprise AI Security (opens in new tab)">LangProtect Enterprise AI Security platform. https://www.langprotect.com/guardia-for-employees" title="LangProtect Guardia (opens in new tab)">LangProtect Guardia protects employee use of generative AI tools, while https://www.langprotect.com/vector" title="LangProtect Vector (opens in new tab)">LangProtect Vector secures AI agents, MCP connections, and tool execution.
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