Cencurity records 0 monthly visits with 0% month-over-month growth and Free pricing. Mindgard records 153,455 monthly visits with +1.3% growth and Contact for Pricing pricing.
Security gateway for LLM agents: block leaks, redact secrets, log every call
Attack-led AI security testing and red teaming
| Dimension / Metric | | |
|---|---|---|
| Official Domain | cencurity.com | mindgard.ai |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 0 (0) | 153.46K (153,455) |
| MoM Traffic Delta | 0 (0%) | +1.96K (+1.3%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (38.4%) |
| Direct Visits / mo | 0 | 21.56K |
| User Rating | 4.2 | 4.3 |
| 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.
Attack-led AI security testing and red teaming
Agent-native reconnaissance maps models, agents, tools, instructions, permissions and behaviours the way an attacker would before launching attacks.
Continuous, adaptive testing of AI agents and systems against evolving attack techniques, rather than one-off audits.
Findings are backed by a knowledge base built from more than 175 publicly disclosed AI vulnerabilities across major AI systems.
Runtime protections and remediation guidance help close defensive gaps and verify that fixes actually hold.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.
SpecialistAgent observability, evaluation, and continuous improvement for production AI
SpecialistAgent observability, evaluation, and continuous improvement for production AI
Automates continuous red teaming and security reviews, but lacks Mindgard's dedicated machine learning vulnerability scanning suite.
Free / Open-sourceProvides open-source LLM simulation and guardrails, but requires more manual setup for enterprise security testing than Mindgard.
Free / Open-sourceProvides open-source LLM simulation and guardrails, but requires more manual setup for enterprise security testing than Mindgard.
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistSpecializes in real-time runtime security against prompt injections, but lacks comprehensive offline model vulnerability scanning.
SpecialistSpecializes in real-time runtime security against prompt injections, but lacks comprehensive offline model vulnerability scanning.
The collaboration layer for AI engineering teams
The collaboration layer for AI engineering teams
Offers robust LLM testing and red teaming tools, but is tailored more toward developer evaluation than enterprise security auditing.
Offers robust LLM testing and red teaming tools, but is tailored more toward developer evaluation than enterprise security auditing.
SpecialistFocuses broadly on AI governance and compliance monitoring, but offers less specialized autonomous model red teaming.
SpecialistFocuses broadly on AI governance and compliance monitoring, but offers less specialized autonomous model red teaming.
SpecialistDelivers enterprise-grade AI observability and model governance, but provides less automated vulnerability red teaming.
SpecialistDelivers enterprise-grade AI observability and model governance, but provides less automated vulnerability red teaming.
