Provides security and compliance solutions for large language model (LLM) applications and agents, focusing on risk mitigation and regulatory adherence. The platform identifies and addresses vulnerabilities specific to AI-driven systems, enabling enterprises to adopt AI technologies safely and confidently. Trusted by multibillion-dollar companies, it supports secure AI integration across various industries.
Funding
$500K 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.
LFounders
Product
Problem
Enterprises face significant security and compliance risks when deploying large language model (LLM) applications and agents. These risks include vulnerabilities specific to AI-driven systems, potential regulatory violations, and the challenge of ensuring safe and responsible AI adoption.
Solution
The company provides security and compliance solutions tailored for LLM applications, enabling enterprises to adopt AI technologies securely and confidently. The platform identifies and mitigates vulnerabilities inherent in AI-driven systems, addressing potential risks such as prompt injection, data poisoning, and model bias. By offering comprehensive risk assessment, monitoring, and governance tools, the company helps organizations adhere to evolving AI regulations and industry best practices. The solution supports secure AI integration across various industries, ensuring responsible and compliant AI deployments.
Target Audience
The primary customers are large enterprises across various industries that are deploying or planning to deploy LLM applications and AI agents.
Features
- Vulnerability scanning for LLM applications, identifying potential security weaknesses and attack vectors.
- Real-time monitoring of AI system behavior to detect anomalies and policy violations.
- Automated risk assessments to evaluate the potential impact of AI-related threats.
- Customizable security policies and compliance controls to align with specific industry regulations.
- Reporting and audit trails to demonstrate adherence to AI governance frameworks.