COGNNA Agentic AI SOC vs ManaTI Project: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
COGNNA Agentic AI SOC is a commercial ai threat detection tool by COGNNA. 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 SOCs drowning in alert volume will find real value in COGNNA Agentic AI SOC's automated incident response; it collapses the time between detection and mitigation by letting AI agents handle triage and containment without human intervention. The platform covers four of NIST CSF 2.0's core functions (Continuous Monitoring, Adverse Event Analysis, Incident Management, and Mitigation), with particular strength in the Detection and Response functions. Skip this if your team needs deep forensic capabilities or investigation-led workflows; COGNNA prioritizes speed over depth, which works only if you're willing to trust autonomous remediation decisions.
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.
