1stProtect.ai vs yara-parser: 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-parser 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 need to automate YARA rule modifications at scale should reach for yara-parser; it's the only Go library that lets you programmatically edit metadata, rename rules, and batch-transform rulesets without parsing YARA syntax by hand. The 85 GitHub stars and active maintenance reflect real adoption in incident response workflows where rule tuning happens hundreds of times per investigation. Skip this if your team writes rules once and treats them as static artifacts, or if you need a GUI-based rule editor instead of code-first automation.
Data verified Jun 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
yara-parser
A Go library for manipulating YARA rulesets with the ability to programatically change metadata, rule names, and more.
Side-by-Side Comparison
Feature
1stProtect.ai
yara-parser
Pricing Model
Commercial
Free
Category
Detection Engineering
Detection Engineering
Verified Vendor
Open Source
GitHub Stars
85
Last Commit
Dec 2022
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
Rule Engine
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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