Unified observability, security and incident response for cloud-scale engineering teams
#1Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Cencurity records 0 monthly visits with 0% growth and Free pricing.

Security gateway for LLM agents: block leaks, redact secrets, log every call
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | arize.com | cencurity.com |
| Pricing Model | Paid, Contact for Pricing | Free |
| Monthly Visits | 249.03K (249,028) | 0 (0) |
| MoM Traffic Delta |
| +7.67K (+3.2%) |
| 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🌐 Global (—) |
|---|
| Direct Visits / mo | 107.84K | 0 |
|---|
| User Rating | 4.6 | 4.2 |
|---|
| Supported Platforms | Website | Website |
|---|

Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.

Security gateway for LLM agents: block leaks, redact secrets, log every call
Automatically detects and blocks secrets, PII and risky model output before it reaches users or upstream providers.
Routes LLM traffic through the gateway and redacts sensitive data inline, so agents keep working while secrets stay out of prompts.
One pane of glass for requests, responses, latency, policy hits, redactions and blocks across every agent call.
Search, filter and correlate requests, responses and policy decisions to pinpoint risk in seconds.
Unified observability, security and incident response for cloud-scale engineering teams
#1
Track, evaluate, and ship AI models and agents in one connected environment.
#2
Attack-led AI security testing and red teaming

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Runtime security that stops prompt injection and data leaks in LLM apps

The collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org

Free / Open-sourceAgent observability, evals and governance for AI platform teams

SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Unified observability, security and incident response for cloud-scale engineering teams
Track, evaluate, and ship AI models and agents in one connected environment.
Attack-led AI security testing and red teaming
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
The collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceAgent observability, evals and governance for AI platform teams
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents