Rego Policy on Every Tool Call
When the LLM makes a tool call, SecuriX evaluates Rego policy on the request AND the response — before data flows in either direction.
Key Metric Highlight
Policy enforcement on request AND response layer
# mcp-tool-policy.rego
package securix.mcp
default allow_tool_call = false
default allow_tool_response = false
# Allow Gmail reads for authenticated employees
allow_tool_call {
input.tool == "gmail.list_messages"
input.user.role in ["employee", "manager"]
}
# Block Gmail send for non-managers
deny_tool_call[msg] {
input.tool == "gmail.send_message"
input.user.role != "manager"
msg := "Gmail send requires manager role"
}
# Block tool responses containing credit card patterns
allow_tool_response {
not response_contains_pii
}
response_contains_pii {
regex.match(
`\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b`,
input.response.content
)
}
# Enforce GDrive read-only for non-admins
deny_tool_call[msg] {
input.tool == "gdrive.files.update"
input.user.role != "admin"
msg := "GDrive write operations require admin role"
}The Operational Battleground
Confronting friction points with deterministic platform security layers.
The Danger of Unchecked AI
Most AI security tools operate at the prompt level. But when an LLM makes tool calls — reading Gmail, querying a database, calling an internal API — the real security risk is in the tool interaction, not the initial prompt.
Governed, Hardened, & Compliant
SecuriX intercepts every MCP tool call at two points: (1) before the tool executes — can the LLM make this request? (2) after the tool responds — can the LLM see this data? Rego policies run at both layers, giving you bidirectional enforcement on every tool interaction.
Platform Deep Dive
Engineered from the ground up for strict isolation, low latency, and zero friction.
Request-Layer Enforcement
Policy runs before the tool executes. Block the tool call based on tool name, parameters, user role, or team.
Response-Layer Enforcement
Policy runs after the tool responds. Redact or block data in the response before the LLM sees it.
Policy-as-Code Git Sync
Store Rego policies in your Git repo. SecuriX pulls and hot-deploys policy updates via webhook.
Tool Call Audit Log
Every tool call — tool name, input parameters, response (pre-redaction), policy decision — is logged with user identity.
How It Works Under the Hood
Request-layer: block tool calls based on tool name, parameters, user role, or time of day
Response-layer: block or redact tool responses that contain PII or restricted data
Policy violations are logged with the full tool call context for audit
Write policies once — they apply to all MCP tools registered in SecuriX
Enterprise Compliance & Alignment
SecuriX policies align directly with top-tier verification structures, ensuring frictionless authorization for your infosec clearance review.
Book a Demo
Book a demo to evaluate Rego Policy on Every Tool Call within your private cloud or staging VPC environment.
Book a Demo
Book a demo of SecuriX Enterprise. Our team will walk you through the platform.