1stProtect.ai vs YARA for Visual Studio Code: 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. YARA for Visual Studio Code 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:
Threat hunters and malware analysts who write YARA rules regularly will appreciate this extension for cutting out the friction of rule syntax; code completion and snippets collapse the time between idea and testable rule. The 63 GitHub stars signal modest adoption, which is honest for a free tool addressing a narrower practitioner base than general-purpose security extensions. Skip this if your team rarely touches YARA directly or needs a full malware analysis platform; this is IDE assistance, not a sandbox or detonation environment.
Data verified Jun 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
YARA for Visual Studio Code
YARA extension for Visual Studio Code with code completion and snippets
Side-by-Side Comparison
Feature
1stProtect.ai
YARA for Visual Studio Code
Pricing Model
Commercial
Free
Category
Detection Engineering
Detection Engineering
Verified Vendor
Open Source
GitHub Stars
63
Last Commit
Jan 2023
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
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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