OPA Rego Policy Engine
Write policies in OPA Rego that execute on every AI request and response at the gateway. Block topics, restrict models, rate-limit users — all in code.
Key Metric Highlight
Policy evaluation latency added per request
# gateway-policy.rego
package securix.gateway
default allow = false
# Allow standard employee chat requests
allow {
input.user.authenticated == true
input.request.tokens_estimated < 50000
not topic_blocked
}
# Block competitor analysis requests
topic_blocked {
keywords := ["competitor pricing", "rival strategy"]
some keyword in keywords
contains(lower(input.request.prompt), keyword)
}
# Deny non-admin model switching
deny[msg] {
input.request.model == "gpt-4o"
input.user.team == "support"
msg := "GPT-4o is restricted to Engineering. Use gpt-4o-mini."
}The Operational Battleground
Confronting friction points with deterministic platform security layers.
The Danger of Unchecked AI
Most AI governance tools offer UI-based rule builders. These break under edge cases, can't be version-controlled, and are impossible to audit. Security teams need policies they can express precisely, review in Git, and test like code.
Governed, Hardened, & Compliant
SecuriX's policy engine runs OPA Rego policies on every request passing through the gateway — before it reaches the LLM, and again on every response. Policies are version-controlled, testable, and deployed via webhook or Git sync.
Platform Deep Dive
Engineered from the ground up for strict isolation, low latency, and zero friction.
Request-Layer Policy
Policies execute before the prompt reaches the LLM. Block topics, restrict models, enforce rate limits.
Response-Layer Policy
Policies also run on the LLM's response. Catch any output that violates policy before the employee sees it.
Git Sync
Commit Rego files to your repo and configure a webhook. SecuriX pulls and deploys policy updates automatically.
Policy Decision Audit
Every policy evaluation result — allow, deny, the specific rule triggered — is written to the audit log.
How It Works Under the Hood
Rego policies run on every inbound request before reaching the LLM
Rego policies run on every outbound response before reaching the employee
Policies are version-controlled — commit to Git and sync via webhook
Test policies against sample prompts in the SecuriX policy playground
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 OPA Rego Policy Engine 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.