# Arize AI vs ZeroThreat

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. ZeroThreat records 29,304 monthly visits with -11.2% growth and Free pricing.

| Metric | [Arize AI](https://openaitools.app/tool/arize-com) | [ZeroThreat](https://openaitools.app/tool/zerothreat) |
| :--- | :--- | :--- |
| Website URL | https://arize.com | https://zerothreat.ai |
| Categories | Large Language Models (LLMs), AI Agent, AI Monitor, AI Developer Tools | AI Scanner, AI Testing, AI Developer Tools |
| Pricing Model | Paid, Contact for Pricing | Free |
| Monthly Visits | 249,028 | 29,304 |
| MoM Growth Rate | +3.2% | -11.2% |
| Primary Market | United States | United States |
| Direct Visits | 107,838 | 11,815 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Arize AI

Arize is an AI engineering platform built for teams that run generative AI in production. It is split into two products: Arize AX, a managed environment for agent observability, evaluation, and experimentation, and Phoenix, an open-source tracing and evaluation library that teams can self-host when they need full data control. Both rely on OpenInference, the open-source semantic convention for generative AI tracing that the Arize team founded and that is built on OpenTelemetry.

The workflow follows three questions. Observe answers what an agent actually did by capturing every span, trace, and session; Evaluate answers whether quality is improving or regressing using span-level, trace-level, and session-level evals; Learn answers whether a proposed change will help by letting teams test prompts and harnesses before rollout. A datastore for GenAI traces (ADB) keeps data in open formats that connect to warehouses such as BigQuery, Databricks, and Snowflake, and an in-app AI engineering agent named Alyx surfaces issues and drafts review-ready fixes.

The platform integrates with dozens of models, frameworks, and tools, including OpenAI, Anthropic, Google, Amazon Bedrock, LangChain, LangGraph, LlamaIndex, CrewAI, and DSPy. Arize publishes compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR, and supports cloud, hybrid, and self-hosted deployment.

**Pricing & Plans:** Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host.

- **End-to-end tracing:** Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
- **Scalable evaluation framework:** Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
- **Alyx AI engineering agent:** An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
- **Phoenix open-source toolkit:** Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
- **Warehouse-native trace storage:** ADB stores traces in open formats that connect natively to BigQuery, Databricks, or Snowflake for joint analytics with business data.

**Strengths:** Covers the full loop of observe, evaluate, and improve rather than stopping at dashboards; Backed by OpenInference and OpenTelemetry standards, limiting vendor lock-in on trace formats; Strong enterprise posture with SOC 2, ISO 27001, HIPAA, and GDPR coverage plus self-hosting options; Integrates with a very wide set of models, frameworks, and agent SDKs

**Limitations:** Self-serve pricing is not published, so cost requires a sales conversation; The breadth of features can be overwhelming for small teams shipping their first LLM feature; Full value depends on disciplined instrumentation across the whole application

[Profile (Markdown)](https://openaitools.app/tool/arize-com.md)

## ZeroThreat

ZeroThreat positions itself as an AI-powered alternative to slow, manual penetration testing. Traditional engagements take four to six weeks and cost five figures, which means most teams can only run them twice a year — leaving long gaps while AI-assisted development pushes new endpoints into production daily. ZeroThreat instead runs continuous, attacker-style testing across web apps and APIs with near-zero setup, claiming 130K+ attack patterns per scan and a 99.9% detection accuracy rate.

The platform goes beyond classic CVE matching to test how an application actually behaves. It exercises authenticated login flows, access controls and business logic to expose BOLA, IDOR and privilege-escalation weaknesses that signature-based scanners often miss, and it handles complex single-page applications using Playwright-based scanning. For API estates, it covers REST, GraphQL, SOAP and gRPC interfaces, discovers shadow APIs and detects API-specific attack patterns.

Operationally, ZeroThreat is built for production use: scans are designed to avoid disrupting live applications, reports are audit-ready for security and compliance teams, and results map to frameworks such as OWASP, CWE/SANS, GDPR, ISO 27001, PCI-DSS and HIPAA. Deployments can be cloud-based with region-based data storage, or on-premise for full data sovereignty. Pricing starts free — the entry plan includes one scan credit per month for a single target — while Professional plans offer unlimited scans from around $100 per target per month, and pay-per-scan credits start at $125 for five.

**Pricing & Plans:** Free tier available: $0 with 1 scan credit per month for a single target. Professional plans are target-based with unlimited scans starting at $100 per target per month (additional targets at $75 each, annual billing saves 20%). A pay-per-scan option starts at $125 for 5 credits, valid for one year, with volume discounts up to 20%.

- **AI-driven automated pentesting:** Run unlimited automated penetration tests per target that mimic real attacker workflows, validating exploitable paths rather than just flagging CVEs.
- **Business logic and access control testing:** Scan authenticated areas, business logic and access controls to surface BOLA, IDOR and privilege-escalation flaws that signature scanners miss.
- **Full web and API coverage:** Cover REST, GraphQL, SOAP and gRPC interfaces, discover shadow APIs and detect API attack patterns alongside your web application surface.
- **Production-safe scanning and compliance reporting:** Test live production applications without disrupting them, and rely on audit-ready evidence and continuous mapping to GDPR, ISO 27001, PCI-DSS and HIPAA.
- **CI/CD integrations and flexible deployment:** Embed security checks into your existing pipelines and choose region-based data storage or air-gap-ready on-prem deployment for data sovereignty.

**Strengths:** Continuous AI-driven pentesting covers authenticated flows and business logic, not just missing CVEs; No-configuration onboarding lets you start a real scan in minutes from a free tier; Broad API coverage across REST, GraphQL, SOAP and gRPC, including shadow API discovery; Audit-ready reporting and continuous compliance mapping for standards like GDPR, PCI-DSS and HIPAA

**Limitations:** Pricing scales per target, so large application portfolios can get expensive; Deep capabilities like agentic AI pentesting and on-prem deployment may require sales conversations; The free tier's single monthly credit is enough for a preview only, not ongoing testing; Effectiveness still depends on accurate scan configuration and authentication setup

[Profile (Markdown)](https://openaitools.app/tool/zerothreat.md)

## Frequently Asked Questions

### How do Arize AI and ZeroThreat compare in monthly traffic?

Arize AI has 249,028 monthly visits, while ZeroThreat has 29,304. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arize AI has a month-over-month growth rate of +3.2%; ZeroThreat has -11.2%.

### How does pricing compare?

Arize AI: Paid, Contact for Pricing. Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. ZeroThreat: Free. Free tier available: $0 with 1 scan credit per month for a single target. Professional plans are target-based with unlimited scans starting at $100 per target per month (additional targets at $75 each, annual billing saves 20%). A pay-per-scan option starts at $125 for 5 credits, valid for one year, with volume discounts up to 20%.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 2 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability. | [.md](https://openaitools.app/tool/prompts.md) |
| 3 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 4 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 5 | [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | +1.3% | Contact for Pricing | Attack-led AI security testing and red teaming | [.md](https://openaitools.app/tool/mindgard.md) |
| 6 | [Hacktron](https://openaitools.app/tool/hacktron) | 125,526 | -40.9% | Freemium, Paid, Contact for Pricing | AI-native offensive security: continuous red teaming, white-box pentests, and PR review | [.md](https://openaitools.app/tool/hacktron.md) |
| 7 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Includes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring. | [.md](https://openaitools.app/tool/future-agi.md) |
| 8 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Features strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams. | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 9 | [PromptLayer](https://openaitools.app/tool/promptlayer) | 85,899 | -4.6% | Free Trial, Contact for Pricing | Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability. | [.md](https://openaitools.app/tool/promptlayer.md) |
| 10 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure. | [.md](https://openaitools.app/tool/confident-ai.md) |

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Source: https://openaitools.app/compare/arize-com-vs-zerothreat

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