Liana Tomescu
Founder
SonnyLabs.ai
SonnyLabs provides security solutions for custom large language model (LLM) applications by blocking prompt injections and preventing the disclosure of sensitive data. The platform addresses the critical issue of AI system vulnerabilities, ensuring compliance with regulations and protecting against data breaches that can lead to significant financial penalties.
- Artificial Intelligence
- Cybersecurity
- Developer Tools
- Software Only
Updated 23 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Custom large language model (LLM) applications are vulnerable to prompt injection attacks, sensitive data disclosure, and the generation of harmful content. These vulnerabilities can lead to data breaches, compliance violations, and reputational damage. Existing security solutions often lack the speed and specialized AI to effectively address these emerging threats.
Solution
SonnyLabs provides a security platform specifically designed to protect custom LLM applications from a range of threats. The platform blocks prompt injection attacks, preventing malicious inputs from manipulating the AI's behavior. It also prevents the disclosure of sensitive data, such as personally identifiable information (PII) and proprietary information, ensuring compliance with data privacy regulations. Additionally, SonnyLabs limits the generation of harmful or inappropriate content, safeguarding brand reputation and promoting ethical AI usage. The platform offers real-time monitoring and a unified dashboard for proactive threat detection and analysis.
Target Audience
SonnyLabs targets organizations that develop and deploy custom LLM applications, including those in regulated industries that require robust data security and compliance measures.
Features
- Real-time monitoring dashboard for tracking and analyzing potential threats to LLM applications
- Prompt injection blocking to prevent malicious inputs from compromising the AI system
- Sensitive data (PII) detection and blocking to prevent unintentional data leaks
- Harmful output filtering to ensure the AI generates safe and appropriate content
- Quick deployment options via API or self-hosted solution
- Compatibility with various LLMs
- AI-powered security tools for faster data analysis and threat detection
- Compliance support for GDPR, EU AI Act, and NIS 2 regulations