Why We Built EvalGuard: One Platform to Rule LLM Chaos

Every AI team today faces the same terrifying realization: their LLM is in production, users are sending it unpredictable inputs, and they have no idea if it is secure, accurate, or about to hallucinate something catastrophic. We built EvalGuard because we lived that nightmare ourselves -- and because no single tool solved it.

The Problem: LLMs in Production Are a Security Nightmare

Large language models are incredible. They can write code, analyze documents, and hold conversations that feel genuinely intelligent. But the moment you deploy one into production, you inherit an entirely new category of risk.

Prompt injection attacks can override your system instructions. Jailbreaks can make your model produce harmful content. Data exfiltration can leak PII from your RAG pipeline. And hallucinations can confidently present false information as fact -- to your customers, in your brand's voice.

The OWASP LLM Top 10 catalogues these risks, and the list grows with every new capability we add to our models. Multi-tool agents, agentic RAG, and function calling each introduce attack surfaces that did not exist two years ago.

Fragmented Tooling Makes It Worse

When we started looking for solutions, we found dozens of tools -- each solving one slice of the problem:

• Evaluation frameworks -- test accuracy and quality, but ignore security entirely.
• Red teaming tools -- find vulnerabilities, but don't connect to your CI/CD pipeline or monitoring.
• Observability platforms -- show you traces in production, but can't tell you if those traces contain security violations.
• API gateways -- route and cache requests, but have no concept of LLM-specific threats like prompt injection.

The result? Teams end up stitching together 4-5 different tools, each with its own dashboard, billing, and learning curve. Data does not flow between them. Alerts do not correlate. And gaps in coverage go unnoticed until something breaks.

The Solution: One Platform for Everything

EvalGuard is the platform we wished we had. It brings evaluation, security testing, production monitoring, cost management, prompt engineering, and red teaming into a single, unified experience.

Here is what that looks like in practice:

• Eval Suite -- Run evaluation datasets with 135 built-in scorers. Compare models side by side. Track quality regressions across deployments.
• Red Team Scanner -- 246 attack plugins covering the full OWASP LLM Top 10. Automated adversarial testing with multi-turn escalation.
• AI Gateway -- Intelligent routing, semantic caching, rate limiting, and a real-time LLM firewall that blocks prompt injection before it reaches your model.
• Observability -- Full trace visualization for agents, chains, and RAG pipelines. Latency breakdowns, token usage tracking, and anomaly detection.
• Prompt IDE -- Version-controlled prompt management with A/B testing, collaboration, and deployment workflows.
• FinOps Dashboard -- Real-time cost tracking across every provider, model, and team. Budget alerts before you get surprised.

Because everything lives in one platform, data flows naturally. A security vulnerability found during red teaming automatically creates a regression test in your eval suite. A production trace that triggers an anomaly alert links directly to the relevant prompt version. Cost spikes correlate with specific model changes.

The Numbers

We did not build EvalGuard as a proof of concept. It ships with:

This is not a marketing number -- it is the result of systematically covering every attack vector, evaluation metric, and operational concern that AI teams face. Every plugin, scorer, and feature exists because a real team needed it.

Free Forever -- Because Security Should Not Be a Luxury

We believe every team shipping LLM features deserves access to proper evaluation and security tooling. That is why EvalGuard includes a generous free tier: 10,000 traces/month, access to all 145 scorers, 5 red team scans/month, and unlimited eval runs.

No credit card required. No trial that expires. No feature gating that forces you to upgrade before you can actually evaluate the product.

When you are ready to scale, Pro starts at $49/month and Team at $199/month. Enterprise plans include SSO, dedicated support, custom SLAs, and on-premises deployment options.

What's Next

EvalGuard is live today. We are actively developing new attack plugins, expanding provider support, and building deeper integrations with CI/CD platforms. Our roadmap is driven by the teams using the platform every day.

If you are shipping LLM features and want one platform that covers evaluation, security, and monitoring -- we built this for you.