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Glitch

Glitch by Labrat

Protect your LLM applications from prompt injection, data leakage, and harmful content—with subsecond latency.
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What is Glitch?

Section titled “What is Glitch?”

Glitch by Labrat is a distributed AI security platform that protects LLM applications from attacks and misuse. Built by Labrat Technologies, Glitch runs at the edge—between your application and the LLM—inspecting both inputs and outputs in real-time.

Policy-Driven Security

Define security policies with granular control over detection sensitivity and actions. One policy, multiple projects.

Microsecond Detection

Signature-based detection runs in ~11µs. LLM-based detection adds ~50ms for deep analysis when needed.

Edge Deployment

Sensors deploy alongside your application for minimal latency. No data leaves your infrastructure.

Comprehensive Coverage

Detect prompt injection, PII leakage, toxic content, and malicious links across inputs and outputs.

Core Capabilities

Section titled “Core Capabilities”

🛡️ Prompt Defense

Section titled “🛡️ Prompt Defense”

Detect and block prompt injection attacks, jailbreak attempts, and instruction override exploits before they reach your LLM.

🔒 Data Leakage Prevention

Section titled “🔒 Data Leakage Prevention”

Identify PII (emails, credit cards, SSNs, phone numbers) in both inputs and outputs. Mask or block sensitive data automatically.

📝 Content Moderation

Section titled “📝 Content Moderation”

Filter hate speech, sexual content, violence, and other harmful content based on configurable policies.

🔗 Link Protection

Section titled “🔗 Link Protection”

Detect and validate URLs, blocking known malicious domains and flagging unknown links for review.

How It Works

Section titled “How It Works”
flowchart LR
    A[Your App] --> B[Sensor]
    B --> C[LLM]
    B --> D{Inspect & Block}


    style A fill:#1a1a2e,stroke:#00d4ff,color:#fff
    style B fill:#1a1a2e,stroke:#00d4ff,color:#fff
    style C fill:#1a1a2e,stroke:#00d4ff,color:#fff
    style D fill:#0d3d4d,stroke:#00d4ff,color:#fff
  1. Your application sends requests through a Glitch Sensor (drop-in proxy)
  2. The Sensor runs detection policies on inputs before forwarding to the LLM
  3. Response inspection applies the same policies to LLM outputs
  4. Blocked requests return immediately with risk headers; clean traffic flows through
Section titled “Quick Links”