
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
Aikido Security records 757,491 monthly visits with +9.6% month-over-month growth and Freemium pricing. Future AGI records 121,741 monthly visits with -7.8% growth and Freemium, Usage-based pricing.

Build, simulate, evaluate and monitor self-improving AI agents
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | aikido.dev | futureagi.com |
| Pricing Model | Freemium | Freemium, Usage-based |
| Monthly Visits | 757.49K (757,491) | 121.74K (121,741) |
| MoM Traffic Delta | +66.27K (+9.6%) | -10.26K (-7.8%) |
| Primary Market & Share | 🇺🇸 United States (25%) | 🇮🇳 India (48%) |
| Direct Visits / mo | 303.71K | 71.47K |
| 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.

Build, simulate, evaluate and monitor self-improving AI agents
Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.
Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.
Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.
End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together

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

Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Automates continuous red teaming and pull request security reviews using AI, but less focused on broad compliance frameworks.

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

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

Automated QA, simulation and observability for voice and chat AI agents
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do

Agentic AI penetration testing for web apps, APIs and GraphQL