RenLayer
RenLayer provides a transparent governance proxy across OpenAI, Anthropic, Bedrock, and Vertex that captures every LLM call through corporate egress and a Chrome/Edge browser extension. The platform reconstructs multi-turn conversations, attributes them to specific users, and scores each for risk from LOW to CRITICAL, with 47+ DLP detectors and prompt-injection protection applied in real time. Security teams can approve providers, enforce policies, and map each agent's blast radius to sensitive data from a single seven-module control plane.
- Cybersecurity
- Regulatory & Compliance Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most companies have no visibility into which employees use AI tools and what data flows through those tools as employees access ChatGPT, Claude, Gemini, or Copilot through browsers, APIs, and unmanaged SDKs. This shadow AI usage exposes organizations to data leaks, compliance violations, and security risks that IT and security teams cannot detect or control.
Solution
RenLayer provides a transparent governance proxy across OpenAI, Anthropic, Bedrock, and Vertex that sees every LLM call and governs registered agents. The platform captures AI traffic at two vectors—corporate egress and a Chrome/Edge browser extension—to reconstruct full multi-turn conversations, attribute them to specific users, and score each conversation for risk from LOW to CRITICAL. Security teams can approve or alert on providers, apply DLP policies in real time, and map each agent's blast radius to sensitive data and tools. The platform includes a seven-module control plane covering shadow AI discovery, activity graph analysis, agent governance, and automated red teaming campaigns.
Target Audience
Primary customers are security, IT, and compliance teams at enterprises that deploy AI tools and need visibility into shadow AI usage, data leakage prevention, and regulatory compliance across their AI infrastructure.
Features
- Transparent proxy across OpenAI, Anthropic, Bedrock, and Vertex with zero SDK requirements and single-digit millisecond latency overhead
- Chrome/Edge MV3 browser extension that captures in-page AI conversations with streamed responses and full multi-turn reconstruction
- 47+ DLP detectors and prompt-injection protection applied to every captured request
- Per-user attribution joined to org structure via CSV import or SSO group sync
- Multi-turn conversation risk scoring that detects progressive exfiltration building across turns
- MCP Registry that security-audits third-party tool servers before agents can use them
- EU AI Act classification with ready-to-paste correction plans per agent
- Automated red teaming campaigns triggered on model change, knowledge base change, or schedule