1stProtect.ai vs Androguard module for Yara: 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. Androguard module for Yara 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 performing static APK analysis at scale will benefit from Androguard module for Yara if they already own Yara infrastructure and need to avoid building a separate mobile analysis pipeline. The module integrates directly into Yara rules, eliminating tool fragmentation for shops that rely on Yara for malware detection across endpoints. Skip this if you need pre-built mobile threat intelligence or lack the engineering capacity to recompile Yara; the GitHub community size signals limited vendor support for production incidents.
Data verified Jun 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
Androguard module for Yara
Integrates static APK analysis with Yara and requires re-compilation of Yara with the androguard module.
Side-by-Side Comparison
Feature
1stProtect.ai
Androguard module for Yara
Pricing Model
Commercial
Free
Category
Detection Engineering
Detection Engineering
Verified Vendor
Open Source
GitHub Stars
5
Last Commit
Sep 2015
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
YARA
Android 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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