Cencurity records 0 monthly visits with 0% month-over-month growth and Free pricing. Future AGI records 121,741 monthly visits with -7.8% growth and Freemium, Usage-based pricing.
Security gateway for LLM agents: block leaks, redact secrets, log every call
Build, simulate, evaluate and monitor self-improving AI agents
| Dimension / Metric | | |
|---|---|---|
| Official Domain | cencurity.com | futureagi.com |
| Pricing Model | Free | Freemium, Usage-based |
| Monthly Visits | 0 (0) | 121.74K (121,741) |
| MoM Traffic Delta | 0 (0%) | -10.26K (-7.8%) |
| Primary Market & Share | 🌐 Global (—) | 🇮🇳 India (48%) |
| Direct Visits / mo | 0 | 71.47K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |
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.
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.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
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
Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
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
The collaboration layer for AI engineering teams
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
