ZenGuard provides security solutions for LLM-based AI agents, focusing on both pre-deployment testing and runtime protection. The platform detects and mitigates vulnerabilities like prompt injections and data leaks with low-latency guardrails. This enables safe deployment of customer-facing AI agents by ensuring data integrity and preventing misuse.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Large language model (LLM) applications are vulnerable to prompt injection attacks and data leaks, which can compromise brand integrity and expose sensitive information. Existing security measures often introduce unacceptable latency, hindering the real-time performance required for many AI agent applications.
Solution
ZenGuard AI provides a low-latency API platform that implements guardrails to protect LLM-based applications from prompt injection attacks, jailbreaks, and data leaks. The platform offers topicality control, PII/secrets/keywords detection, and continuous improvement of attack detection based on agentic responses. By integrating ZenGuard AI, businesses can safely adopt AI agents, ensuring compliance and safeguarding sensitive data without sacrificing performance.
Target Audience
ZenGuard AI targets businesses adopting LLM-based AI agents, AI vendors, and security teams seeking to protect their applications from vulnerabilities and ensure compliance with security and safety standards.
Features
- Prompt injection and jailbreak detection
- Topicality control for LLM requests and responses
- PII, secrets, and keyword detection
- Configuration support for use-case based AI Agents
- Continuous improvement of attack detection based on agentic responses
- Full email and live support (Discord, Slack, etc.)