The rise of Large Language Models has transformed how we build software. From customer support chatbots to code assistants, LLMs are becoming the interface between users and applications. But with this power comes a new class of security vulnerabilities.
The Problem
LLM-powered applications face unique security challenges:
- Prompt injection attacks that hijack your AI’s behavior
- Data extraction attempts that leak sensitive information
- Jailbreaking techniques that bypass safety guardrails
- Indirect injection through untrusted data sources
Traditional security tools weren’t designed for these threats. Web application firewalls don’t understand natural language. API gateways can’t detect semantic attacks. You need security that understands AI.
Our Approach
Lab Rat takes a different approach. We built a high-performance security layer that sits in front of your LLM endpoints, analyzing every request and response in real-time.
Your App → Lab Rat Sensor → LLM Provider
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Security Analysis
(< 15ms latency)Our Rust-powered sensors add minimal latency while providing:
- Pattern-based detection for known attack signatures
- ML-powered analysis for novel threats
- Real-time blocking to stop attacks before they reach your model
- Full observability into what’s happening with your AI
What’s Next
We’re just getting started. Over the coming months, we’ll be sharing:
- Deep dives into LLM attack techniques
- Best practices for securing AI applications
- Updates on new detection capabilities
- Research from our security team
If you’re building with LLMs, we’d love to help you secure them. Get started for free or reach out to learn more.
Lab Rat is an LLM security platform that helps teams protect their AI applications from prompt injection, data leakage, and other emerging threats.