Secure AI infrastructure with boardroom-grade control.
Protoguard gives enterprise teams a hardened control plane for Model Context Protocol: isolated runtime boundaries, real-time inspection, tenant-aware identity, and audit visibility that feels native to modern security operations.
Cleanly layered controls for enterprise AI operations.
Every layer is designed to feel operationally mature: minimal visual noise, strict tenancy boundaries, and instrumentation that gives platform teams fast answers when risk appears.
Secure Enclaves
Run MCP workloads inside hardened execution boundaries with cryptographic attestation and production-safe isolation.
Per-Tenant Isolation
Enforce data separation, scoped access, and on-behalf-of identity controls without layering complexity onto product teams.
Real-Time Scanning
Inspect tool calls and context flow continuously with millisecond latency and fast policy response.
Out-of-Band Monitoring
Give security, platform, and compliance teams a complete view of system behavior without degrading the application path.
From deployment to audit, every layer is deliberate.
Protoguard is designed to be adopted quickly and operated confidently. The rollout path is opinionated, observable, and tailored to teams that need clean enterprise security posture from day one.
Deploy Secure Enclaves
Initialize hardened containers with cryptographic verification. Each MCP server runs in an isolated enclave with hardware-level security guarantees.
Configure Isolation
Implement on-behalf-of authentication with complete data separation. Each tenant operates in a fully isolated security boundary with zero cross-contamination.
See tenant security modelEnable Real-Time Scanning
Continuous monitoring with millisecond latency. Advanced threat detection systems analyze all MCP traffic patterns to identify and block threats before they can cause damage.
Review scanning workflowsMonitor Out-of-Band
Complete visibility without performance overhead. Independent monitoring tracks, audits, and analyzes all MCP communications while maintaining zero-impact operations and learning from behavioral patterns.
Explore observability docsBring enterprise-grade security to every MCP deployment.
Give your platform, security, and compliance teams a cleaner way to protect AI infrastructure without slowing down delivery.