PrivaShield vs. Wazuh

Wazuh is a real, widely deployed open-source security platform that unifies SIEM and XDR: endpoint agents, log analysis, file integrity monitoring, vulnerability detection, and compliance monitoring across cloud, on-premises, and containerized environments. It's free and open-source under GPLv2 -- no license fee, no per-agent charge, no feature paywall on the self-hosted core -- with managed cloud pricing available separately, starting around $571/month for 100 agents. Critically, Wazuh isn't standing still on AI either: its own 2026 integration pairs Wazuh's SIEM/XDR data with a locally-run LLM (Llama 3 via Ollama, with vectorized log data and LangChain), surfaced as a chatbot embedded in its dashboard, so an analyst can ask "who attempted to exfiltrate files this week?" in plain language and get a sourced answer built from real log forensics -- with nothing sent to an external cloud API.

What Wazuh gets right

Wazuh's maturity is real and current. It has years of production deployments, a large agent and integration ecosystem, and now a genuinely useful local-LLM query layer of its own, built the same privacy-respecting way -- logs never leave the Wazuh server. If the job is broad-spectrum SIEM/XDR coverage across a large, heterogeneous environment with an established open-source community behind it, Wazuh already does that well, at zero license cost.

Where PrivaShield differs

PrivaShield doesn't compete with Wazuh's breadth or its track record -- it's a much smaller, newer platform (Apache-2.0, built on FastAPI/PostgreSQL/NATS, using Suricata and Zeek as its own passive sensors). The actual difference is what's structurally enforced, not just what's technically present. PrivaShield's non-negotiable design rule, stated directly in its own docs, is that AI may analyze and recommend, but only deterministic policy controls anything privileged -- and that split isn't a convention, it's built into the system: every response and firewall action (block IP, isolate an interface, terminate a session, quarantine a file) runs in simulation only, with enforced=false and no privileged data-plane access at all; policy changes require an Ed25519-signed, two-person-approved envelope with rollback; every action lands in a tamper-evident, hash-chained audit log with its own verification endpoint; and the deterministic detection engines behind all of this (DLP, identity-anomaly, ransomware-behavior scoring) are checked on every change against a versioned synthetic evaluation corpus with regression thresholds that fail CI if detection accuracy drops. Wazuh's LLM integration is a natural-language query interface added onto an existing platform; PrivaShield's advisory-only/signed-governance split is the platform's own organizing principle, tested the same way its detection logic is.

The honest caveat, stated in PrivaShield's own README under a "production-readiness notice": it is explicitly not production-ready as a privileged-enforcement control today, external identity-provider integration and backup/restore qualification are still on the roadmap, and its packaged quickstart ships with authentication disabled by default for local development -- PRIVASHIELD_AUTH_MODE=local has to be turned on deliberately before any non-loopback exposure. Wazuh's years of deployments and larger ecosystem are a real, current advantage. What PrivaShield is betting on instead is that the advisory-only, cryptographically-governed shape is worth building around from day one, for a team that wants AI-assisted triage without ever making an LLM -- local or otherwise -- a privileged actor in its security posture.