Mindgard records 153,455 monthly visits with +1.3% month-over-month growth and Contact for Pricing pricing. Oberhahn records 633 monthly visits with -70.9% growth and Free Trial, Paid, Contact for Pricing pricing.
Attack-led AI security testing and red teaming
Know exactly what your AI spend bought.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | mindgard.ai | oberhahn.com |
| Pricing Model | Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 153.46K (153,455) | 633 (633) |
| MoM Traffic Delta | +1.96K (+1.3%) | -1.54K (-70.9%) |
| Primary Market & Share | 🇺🇸 United States (38.4%) | 🇵🇰 Pakistan (90.7%) |
| Direct Visits / mo | 21.56K | 259 |
| User Rating | 4.3 | 4.2 |
| Supported Platforms | Website | Website |
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.
Know exactly what your AI spend bought.
Connect coding assistants, agents, trackers and orchestration layers once, then watch every usage event flow into a single normalized ledger with no manual reconciliation.
See projected month-end spend, cost per session, spend per user, context-window use and an efficiency score, broken out by the source driving each dollar.
Every session links to real Linear, Jira or GitHub issues, so you can read cost per estimate point and see what shipped versus what sank.
Oberhahn flags oversized models, cache misses, runaway sessions and duplicate workflows, each ranked by the spend it affects so you know what to investigate first.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
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.
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.
AI workforce analytics that turn monitoring data into productivity and cost decisions.
AI workforce analytics that turn monitoring data into productivity and cost decisions.
AI value measurement platform connecting AI spend to real business outcomes
AI value measurement platform connecting AI spend to real business outcomes
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
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
