About SpiderShield
Building the security layer for the AI agent ecosystem.
Mission
AI agents are gaining access to real-world tools — databases, file systems, APIs, and shell commands. Without guardrails, a single prompt injection can lead to data theft, destructive operations, or credential exposure.
SpiderShield provides the runtime security layer that every AI agent needs: policy enforcement before tool execution, DLP scanning after execution, and a complete audit trail. Open source, developer-friendly, and built for the MCP ecosystem.
Values
Security First
No false sense of security. We score conservatively, document limitations, and never claim to find all vulnerabilities.
Open Source
The core SDK is MIT-licensed and always will be. Security tools should be transparent and auditable.
Evidence-Driven
Every scanner change is motivated by real false positives or missed issues. We measure before and after.
Developer Experience
Security that gets in the way gets turned off. SpiderShield adds protection in 3 lines of code.
Roadmap
SpiderShield v0.3 released — runtime guard, DLP, proxy mode
SpiderRating launched — 3,500+ MCP servers scanned and graded
Agent security module — config audit, skill scanning, toxic flow detection
SpiderShield Cloud — dashboard, telemetry, team policies (planned)
Trust Registry API — MCP server reputation data (planned)