1stProtect.ai vs Osquery: 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. Osquery 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 managing macOS fleets at scale should pick Osquery for endpoint visibility that doesn't require expensive commercial EDR licensing; it ships queryable system activity data from thousands of hosts without agent bloat. The tool has been deployed by Meta, Apple, and Uber across hundreds of thousands of endpoints, proving it handles volume. Osquery excels at hunt-driven investigation and compliance baselines but doesn't include behavioral detection or automated response, so teams expecting out-of-the-box threat hunting will need to layer in separate analytics.
Data verified May 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
Osquery
Open-source tool for monitoring macOS hosts with detailed system activity insights.
Side-by-Side Comparison
Feature
1stProtect.ai
Osquery
Pricing Model
Commercial
Free
Category
Endpoint Detection and Response
Endpoint 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
Mac Os
SQL
Osquery
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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