Agent Monitoring vs ManaTI Project: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Agent Monitoring is a commercial ai threat detection tool by NeuralTrust. ManaTI Project is a free ai threat detection tool. Compare features, ratings, integrations, and community reviews side by side to find the best ai threat detection fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams deploying large language model applications need Agent Monitoring because it's the only platform that gives you real-time visibility into what your AI agents are actually doing at execution time, not just what they were supposed to do. NeuralTrust maps to four NIST CSF 2.0 functions across detect and respond, with particular strength in continuous monitoring and incident analysis through live trace correlation. Skip this if your AI workloads are still experimental or confined to a single application; the value compounds once you're managing agents across multiple LLMs and cloud platforms at scale.
Security analysts who need to rapidly triage and contextualize alerts without waiting for external threat intel feeds will find value in ManaTI Project's interactive ML-driven analysis, particularly for spotting behavioral patterns in existing logs that traditional rules miss. The free, open-source model means you can run it on your own infrastructure with zero licensing friction and inspect the actual logic behind its classifications. This is not for organizations expecting a polished UI or vendor support; it's a practitioner tool that rewards teams comfortable reading Python code and tuning models themselves.
