HiddenLayer vs FlowLink
Securing the Model vs Governing the Agent
HiddenLayeris an AI/ML security company focused on protecting the model itself — scanning for tampering, detecting adversarial inputs at the LLM edge, and securing the MLOps pipeline. It's important work, but it secures the model, not the server an autonomous agent operates on. FlowLink is built for the other half of the stack: governing what AI agents actually do in production — the shell commands they run, the endpoints they reach, and the secrets they can access — enforced at the MCP layer and watched in the kernel with eBPF.
Feature Comparison
| Feature | HiddenLayer | FlowLink |
|---|---|---|
| MCP Protocol Native | ✕ | ✓ |
| Runtime Policy Enforcement | ✕ | ✓ |
| eBPF Kernel Monitoring | ✕ | ✓ |
| Credential Vault | ✕ | ✓ |
| Network Bastion | ✕ | ✓ |
| Agent Behavior Governance | ✕ | ✓ |
| Command Approval Workflow | ✕ | ✓ |
| Adversarial-Input Detection | ✓ | ✓ |
| ML Model Scanning & Securing | ✓ | ✕ |
| Self-hosted / On-Prem | ✓ | ✓ |
| Open-source Core | ✕ | ✓ |
| Audit Trail | ✓ | ✓ |
| Free Tier | ✕ | ✓ |
Why Teams Choose FlowLink Over HiddenLayer
Servers, Not Just Models
HiddenLayer secures the model. FlowLink secures what AI agents do to your servers: the commands they run, the networks they reach, the credentials they touch.
MCP-Native Governance
Model Context Protocol is how agents call tools. FlowLink enforces policy at the MCP layer — HiddenLayer has no MCP integration.
Runtime Enforcement
HiddenLayer detects adversarial inputs. FlowLink actively blocks dangerous commands at runtime with eBPF kernel monitoring and human approval workflows.