1stProtect.ai vs Wazuh: 2026 Comparison
1stProtect.ai is a commercial endpoint detection and response tool by 1stProtect.ai. Wazuh is a free extended detection and response tool. Compare features, ratings, integrations, and community reviews side by side to find the best endpoint detection and response fit for your security stack.
CST VerdictBased on our analysis of core features, integrations, here is our conclusion:
Teams running hybrid infrastructure who can't justify a $500K annual XDR bill will find Wazuh's free tier genuinely capable for threat detection and log analysis across endpoints and cloud workloads. The platform handles agent deployment at scale without licensing friction, and it covers NIST Detect functions well enough that most mid-market organizations won't feel the gap. Skip Wazuh if your team needs managed SOC services or hands-off threat hunting; this is a build-it-yourself platform that demands internal ops expertise to tune detection rules and manage alert noise.
Data verified Apr 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
Wazuh
Wazuh is an open-source security platform offering unified XDR and SIEM protection for endpoints and cloud workloads, integrating various security functions into a single architecture.
Side-by-Side Comparison
Feature
1stProtect.ai
Wazuh
Pricing Model
Commercial
Free
Category
Endpoint Detection and Response
Extended Detection and Response
Verified Vendor
Company Information
Company
1stProtect.ai
Headquarters
Founded, Size & Funding
Use Cases & Capabilities
Runtime Security
Sigma
Ransomware Prevention
Data Exfiltration
Process Injection
Syscalls
Kubernetes Security
Active Directory
MCP Security
USB Security
Open Source
NIST CSF 2.0 Coverage
NIST CSF 2.0 Mapping
Access NIST CSF 2.0 data from thousands of security products via MCP to assess your stack coverage.
Access via MCPCore Features
- Single user-space SIGMA engine replacing multiple legacy security engines (EPP, EDR, DLP, IAM, ITDR, SASE)
- 22 protection modules covering credential theft, ransomware, data exfiltration, process injection, browser attacks, and agent self-defense
- Offline-first policy enforcement with local policy engine cached in kernel memory — no cloud dependency required
- Sub-0.04ms threat enforcement latency with less than 1% CPU overhead, no kernel modules
- On-host MCP server for AI-based forensic investigation without cloud round-trip
- Immutable forensic snapshots captured at syscall level with JSON-structured telemetry
- Kubernetes DaemonSet deployment with no sidecars and no kernel module compilation
- Audit Mode for policy baselining before switching to active enforcement
- No features listed
Integrations
Splunk
Datadog
Elastic
Sumo Logic
Okta
Azure AD
Ping
JumpCloud
AWS
GCP
No integrations listed
Community
Community Votes
0
2
Bookmarks
User Reviews
No reviews yet
No reviews yet
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