From AI Chaos to Audit Confidence

AI Governance in 4 Steps

Stop flying blind. Transform your AI from untracked black box into auditable, compliant system that boards can trust.

STEP 1

Discover Risk in Minutes

Auto-scan your AI stack for compliance gaps. Our security engine identifies every AI interaction, untracked model, and potential violation across your organization.

Automatic AI asset discovery
Compliance gap analysis
Risk scoring and prioritization
STEP 2

Cryptographic Evidence for Every Decision

Ed25519 signatures make audit trails tamper-proof. Every AI interaction gets cryptographically signed receipts that prove compliance in real-time.

Immutable proof receipts
Real-time decision tracking
Auditor-grade evidence chain
STEP 3

Live Guardrails Prevent Incidents

Stop jailbreaks and data leaks before they happen. AI Firewall monitors every prompt and response, blocking violations in real-time while maintaining performance.

Real-time policy enforcement
Jailbreak prevention
PII/secret detection
STEP 4

Enterprise-Ready Rollout

SAML SSO, RBAC, and multi-region deployment. Scale governance across teams and geographies with enterprise controls your IT team trusts.

SAML SSO integration
Role-based access control
Multi-region deployment
672x Faster Than Traditional Enterprise Software

From Purchase to Production

Choose your path: Start exploring in 10 minutes with our self-service trial, or work with our team for white-glove enterprise deployment.

Self-Service Trial

10 Minutes to Live

Instant license delivery. One-command deployment. Zero configuration.

1

Sign Up (30 seconds)

Enter email at railguard.ai/trial → Instant license delivery

2

Download Package (2 minutes)

Git clone or direct download. Includes demo data, policies, and 5 users.

3

Deploy (5 minutes)

./deploy.sh auto-detects Docker/Kubernetes

Explore Immediately

Admin UI live at localhost:3000. All features unlocked for 30 days.

Enterprise tier (30-day trial)
Community Slack support
Full documentation access
Start 10-Minute Trial
Sales-Led Enterprise

4-6 Weeks to Production

White-glove onboarding. Dedicated CSM. Production KMS deployment.

1

Discovery Call (Week 1)

Requirements gathering, use case validation, stakeholder alignment

2

POC Deployment (Week 2)

Staging environment setup with your AI stack. Demo license delivery.

3

Evaluation Period (Weeks 3-4)

Security review, compliance validation, procurement process

4

Production Rollout (Weeks 5-6)

KMS keypair generation, production license, CSM-led deployment

Ongoing Success

Quarterly business reviews, 24/7 support, dedicated Slack channel

Production KMS integration
24/7 enterprise support
SOC2 compliance package
Talk to Sales
FeatureSelf-Service TrialSales-Led Enterprise
Time to First Value10 minutes4-6 weeks
License TierEnterprise (30-day trial)Enterprise (1-3 years)
Deployment SupportDocumentation + Community SlackDedicated CSM + Deployment Engineer
Key ManagementDemo keypair (Ed25519)Production KMS/HSM integration
Support SLACommunity (best-effort)24/7 enterprise (2-hour P0)
Renewal ProcessSelf-service portalAccount manager renewal

Implementation Timeline

From pilot to production in weeks, not months. Here's exactly how we get you to full AI governance.

1

Day 1: Pilot Setup

Connect your first AI system. Install our SDK or proxy. Start seeing real-time decisions within an hour.

📊 Deliverable: Live dashboard with first AI interactions tracked
7

Week 1: Policy Framework

Configure compliance policies. Set up guardrails. Train your team on the platform. First compliance report generated.

📋 Deliverable: Compliance report ready for board review
30

Month 1: Production Ready

Scale across teams. Integrate with enterprise SSO. Set up automated reporting. Your AI is now fully governed.

🚀 Deliverable: Enterprise-grade AI governance at scale

Ready to Start Your Timeline?

Join 50+ enterprises already governing AI with Railguard. Start your pilot today.

Calculate Your ROI
Railguard AI - Sovereign AI Infrastructure