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 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 (source-available with a paid business license, built on FastAPI/PostgreSQL/NATS, using Suricata alerts and Zeek connection logs as its sensors). The difference is what's structurally enforced, beyond 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 is built into the system rather than left as a convention: every response and firewall action (block IP, isolate an interface, terminate a session, quarantine a file) runs in simulation only, with no privileged data-plane access at all, and is refused unless the active Ed25519-signed policy allows it and a second, separately authenticated person approves it; policies are re-verified every time they're used, and rolling back to an earlier approved revision is recorded; every action lands in an HMAC-chained audit log with a separately stored signed checkpoint, so edits and deleted entries are detected on verify; and the deterministic detection engines behind all of this (DLP, identity-anomaly, ransomware-behavior scoring) are checked on every change against a 16-case versioned evaluation set, with thresholds that fail CI if detection accuracy drops. Card numbers, SSNs and credentials are redacted as events arrive. Wazuh's active response, by contrast, executes scripts on its agents. 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: PrivaShield is pre-production (version 0.1.0) and is not a privileged-enforcement control -- responses are simulations by design. Identity is local bearer tokens only (no SSO yet), only Zeek's connection log is wired up, and it ships without a Suricata ruleset (you run suricata-update). Authentication is on by default and the installer generates every secret. Wazuh has a far larger ruleset, host agents and multi-tenant scale. 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.