AI Guardrails

AI that follows
Your Rules.

Prevent data leaks, hallucinations, and unsafe model behavior deterministically. CodeConductor intercepts every request and response to enforce policy-as-code in real-time.

BLOCKED

Here is the customer database dump you asked for.

Guardrail Triggered: PII_LEAK_PREVENTION

Response contains PII (SSN, Email). Action blocked. Event logged to Security Center.

Score: 0.98Policy: strict-pii

Stop Data Leaks

Intercept outbound content before it leaves your perimeter. Prevent accidental or malicious data exposure in real-time.

Eliminate Unsafe Actions

Block prohibited behavior, jailbreak attempts, and harmful instructions before models execute them.

Deterministic Governance

Every model interaction is evaluated against formal policies (OPA/Rego), ensuring consistent and compliant AI usage across all agents.

What CodeConductor Enforces

Comprehensive protection layers for the AI stack.

PII Leak Prevention

Detects SSN, phone numbers, emails, and financial data patterns.

Hallucination Blocker

Requires citations, disallows fabricated facts, enforces truth constraints.

Toxicity & Harm

Blocks hate speech, self-harm prompts, and high-risk content.

Action Restrictions

Prevents unauthorized tasks like deleting data or deploying code.

Compliance Modes

Pre-configured bundles for HIPAA, GDPR, and Legal Holds.

Topic Containment

Keeps agents focused on business domains, rejecting off-topic queries.

The Inspection Pipeline

Every request flows through a high-performance evaluation chain before reaching the model.

User Prompt

Input

Policy Eval

OPA/Rego

PII Detector

Scanning

Risk Analyzer

Scoring

Permission

RBAC

Response

Allowed

Policy As Code

Written in Code,
Not PDFs.

Guardrails are defined as executable code (Rego), not static documents. Policies update instantly and apply across agents, applications, workflows, and integrations globally.

Git-versioned policies
Unit testable compliance
Instant global rollout

Learn more about Policy Engine →

policy/block_pii.rego

package guardrails.pii

// Block response if PII confidence > 90%

deny[msg] {

input.type == "model_response"

pii_score := scanner.detect_pii(input.text)

pii_score > 0.90

msg := "Blocked: High confidence PII detected"

}

Audit Stream Live

Time	User	Action	Result
10:42:05	alice@acme	SQL_GEN	BLOCKED
10:42:02	bob@acme	SUMMARIZE	ALLOWED
10:41:55	system	POLICY_UPD	SUCCESS
10:41:40	alice@acme	PII_SCAN	FLAGGED

End-to-End Auditing

Every decision logged.

Maintain a complete forensic trail. All block/allow events are routed to your SIEM/SOC tools (Splunk, Datadog) with timestamps, users, prompts, models, IPs, and policy decisions.

Immutable audit logs
Export to SIEM
Full payload capture (optional)

Reduce AI Risk

Enforce Consistency

Protect Data

Pass Audits

Prevent Injection

Full Observability

Without Guardrails

Uncontrolled AI behavior
Unlogged sensitive data leakage
Shadow AI risks
Inconsistent outputs
High compliance exposure

With CodeConductor

Deterministic, enforceable rules
Zero tolerance PII protection
Consistent behavior across models
Central visibility + logs
Safe, compliant model usage

AI that follows Your Rules.