1stProtect.ai vs WMI Monitor: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
1stProtect.ai is a commercial endpoint detection and response tool by 1stProtect.ai. WMI Monitor is a free endpoint 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:
Security teams at mid-market organizations running Windows-heavy environments should use WMI Monitor to catch living-off-the-land attacks that standard EDR misses, since WMI abuse is a favorite pivot point for attackers who already have a foothold. It's free and maintained actively on GitHub with 124 stars, so you can run it alongside existing tools without budget friction. Skip this if you need broader endpoint visibility beyond WMI; it's a single-purpose instrument, not a replacement for full EDR coverage.
Data verified May 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
WMI Monitor
Monitor WMI consumers and processes for potential malicious activity
Side-by-Side Comparison
Feature
1stProtect.ai
WMI Monitor
Pricing Model
Commercial
Free
Category
Endpoint Detection and Response
Endpoint Detection and Response
Verified Vendor
Open Source
GitHub Stars
124
Last Commit
Feb 2018
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
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
0
Bookmarks
User Reviews
No reviews yet
No reviews yet
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