
SpecialistDeep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.
Aikido Security records 757,491 monthly visits with +9.6% month-over-month growth and Freemium pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | aikido.dev | openlayer.com |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 757.49K (757,491) | 48.42K (48,415) |
| MoM Traffic Delta |
| +66.27K (+9.6%) |
| -3.3K (-6.4%) |
| Primary Market & Share | 🇺🇸 United States (25%) | 🇺🇸 United States (44.1%) |
|---|
| Direct Visits / mo | 303.71K | 25.94K |
|---|
| User Rating | 4.4 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|

All-in-one AppSec platform that finds and auto-fixes vulnerabilities
SCA dependency scanning, SAST, AI code audit, secrets detection, license/SBOM generation, malware detection, and code quality in one pipeline.
AI filters false positives and generates fixes or pull requests, cutting triage time and shortening the path from finding to resolution.
CSPM for misconfigurations, IaC scanning, Kubernetes and container image scanning, VM insights, DSPM, and cloud attack-path mapping.
Continuous web/API testing, DAST, attack-surface mapping, and autonomous pentest agents that keep validating what is actually exploitable.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.

SpecialistDeep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
#2
SpecialistAttack-led AI security testing and red teaming
#3
Automates continuous red teaming and pull request security reviews using AI, but less focused on broad compliance frameworks.

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

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

SpecialistThe collaboration layer for AI engineering teams

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

SpecialistThe control plane for trusted enterprise agents and models

Agentic AI penetration testing for web apps, APIs and GraphQL
Full-stack observability with an AI SRE agent that fixes issues

Enterprise AI governance platform for agents, models, and vendors

SpecialistDeep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAttack-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
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
SpecialistThe control plane for trusted enterprise agents and models
Full-stack observability with an AI SRE agent that fixes issues