Trylon AI offers an enterprise AI security platform that monitors and protects AI interactions by detecting and redacting sensitive data before it reaches external large language model providers. The solution integrates via SDKs and APIs, providing real‑time threat detection, policy configuration, and audit logging for compliance and data loss prevention. It is monetized through subscription plans, with a free trial that includes full enterprise features.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face significant risks when employees interact with third-party AI models, as sensitive corporate data, including intellectual property and trade secrets, can be inadvertently exposed. This data leakage can lead to compliance violations, loss of competitive advantage, and reputational damage.
Solution
Trylon AI provides an enterprise-grade platform designed to secure AI deployments by preventing sensitive data from being transmitted to external Large Language Model (LLM) providers. The system employs real-time detection and redaction of confidential information within user prompts and AI responses. This ensures that proprietary data remains within the organization's control and is not used for training third-party models. Trylon's solution offers comprehensive visibility into AI interactions and integrates seamlessly with existing AI workflows, enabling secure and compliant AI adoption.
Target Audience
The primary customers are enterprises and organizations across various industries, including software development, financial services, and product development, that utilize AI assistants and LLMs in their operations.
Features
- Real-time detection and redaction of sensitive data types, including source code, financial data, API keys, and proprietary documents.
- Customizable security policies to define and protect organization-specific confidential information.
- Advanced content classification leveraging pattern recognition and context understanding to identify sensitive data.
- Data Protection Pipeline that includes pattern recognition, data classification, policy enforcement, and secure response generation.
- Integration via REST API, SDK, or pre-built plugins for popular AI platforms and internal models.
- Zero-training requirement for pre-trained models that detect common corporate data patterns.
- Comprehensive logging and auditing capabilities for full visibility and control over AI data access.
- Sandbox environment for simulating and validating security policies against real-world attack patterns.