Govyn vs Coralogix
Feature comparison
| Feature | Govyn | Coralogix |
|---|---|---|
| Architecture | Self-hosted proxy | Cloud observability platform |
| Primary focus | Agent governance | Full-stack observability |
| Budget enforcement | Real-time hard limits | Cost alerts only |
| Policy enforcement | ||
| LLM call tracing | ||
| Cost tracking / analytics | ||
| Hallucination detection | ||
| Toxicity / PII evaluation | PII redaction | |
| AI security posture management | ||
| Model restrictions | ||
| Rate limiting | ||
| Approval workflows | ||
| Full replay logging | ||
| Infrastructure monitoring | ||
| Data stays on your infra | Customer S3 option | |
| Open source | ||
| Pricing | Free / from $29/mo | $1.50 per 1M tokens |
Architecture comparison
Sits between agent and provider at the HTTP level. Agents never see real API keys. No code changes required.
Cloud-hosted service with dashboard and agents.
When to use Coralogix
Coralogix is the right choice when AI monitoring is part of a broader observability strategy. If you already use Coralogix for logs, metrics, and traces across your infrastructure, their AI Center adds LLM-specific monitoring natively — you get cost analytics, hallucination detection, toxicity evaluation, and AI security posture management in the same platform you already use for everything else. Coralogix's evaluation engine can score LLM responses in real time for quality, safety, and compliance. For organizations that need org-wide AI observability alongside traditional infrastructure monitoring, Coralogix provides a unified view that a standalone governance proxy cannot.
When to use Govyn
Govyn is the better choice when you need to enforce rules before bad things happen, not detect them after. Coralogix monitors and evaluates LLM calls post-hoc — it can tell you a response contained PII or that an agent overspent, but it can't prevent it. Govyn blocks requests that violate policies before they reach the provider. Budget caps are hard limits, model restrictions are enforced in real time, and approval workflows gate sensitive operations. Govyn is also dramatically simpler and cheaper for teams that only need agent governance: it's open source, self-hosted, and runs with a single YAML config — no $1.50/million-token observability subscription needed. Use Coralogix for broad infrastructure observability; use Govyn for agent governance.
Migrating from Coralogix
Define governance rules from Coralogix insights
Review your Coralogix AI Center data to identify cost patterns, frequent model usage, and agents that need budget limits. Use these insights to write Govyn policies.
Create a Govyn policy file
Translate your cost thresholds and usage patterns into govyn.yaml rules — per-agent budgets, model allowlists, rate limits.
Deploy Govyn as a complementary layer
Govyn enforces; Coralogix monitors. Deploy Govyn as the proxy for your AI agents, and keep Coralogix for post-hoc analytics, hallucination detection, and infrastructure monitoring.
Forward Govyn logs to Coralogix
Optionally pipe Govyn's audit logs into Coralogix for unified observability. You get real-time enforcement from Govyn and deep analytics from Coralogix.
Try Govyn in 5 minutes
Open source, MIT licensed. One command to start governing your AI agents.
Other comparisons
A developer observability platform for AI agents with automatic tracing, session replay, cost tracking, and a cloud-hosted dashboard.
An enterprise AI governance platform with policy management, compliance workflows, and risk scoring for AI deployments across the organization.
A SaaS platform for monitoring and optimizing AI agent usage with dashboards, cost analytics, and usage-based billing tools.
Explore more
The Replit AI agent deleted a production database, fabricated 4,000 fake records, then lied about it. Three lines of policy YAML would have stopped it.
INTEGRATIONAdd governance to Azure OpenAI deployments. Enforce budgets, model policies, and compliance logging for enterprise AI agents.
POLICY TEMPLATEMaintain complete audit trails for AI agent operations. Log every request, response, and policy decision for regulatory compliance.
POLICY TEMPLATEDetect and redact personally identifiable information in AI agent requests and responses. GDPR-friendly PII protection at the proxy level.