1stProtect.ai vs InQuest Labs: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
1stProtect.ai is a commercial detection engineering tool by 1stProtect.ai. InQuest Labs is a free detection engineering tool. Compare features, ratings, integrations, and community reviews side by side to find the best detection engineering fit for your security stack.
CST VerdictBased on our analysis of core features, integrations, here is our conclusion:
Security teams running high-volume email environments will find InQuest Labs useful for rapidly triaging unknown files and URLs against its malware corpus before they reach end users. The platform's free tier removes budget friction for teams piloting email threat detection, and its integration with common email gateways means deployment happens in days, not months. Skip this if you need threat intelligence feeds for broader network defense or incident response context; InQuest is narrowly built for email-specific payload analysis.
Data verified Jun 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
InQuest Labs
The Trystero Project is a threat intelligence platform that measures email security efficacy and provides various tools and resources, while VMware Carbon Black offers endpoint protection and workload security solutions.
Side-by-Side Comparison
Feature
1stProtect.ai
InQuest Labs
Pricing Model
Commercial
Free
Category
Detection Engineering
Detection Engineering
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
Cyber Threat Intelligence
Threat Feed
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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