1stProtect.ai vs YARA Silly Silly: 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 Silly Silly 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:
Incident response teams who need to reverse-engineer malware samples into detection rules will find value in YARA Silly Silly's automation of the tedious rule-writing process. The tool's free cost and GitHub availability mean zero procurement friction and community visibility into its detection logic. Skip it if your team lacks malware analysis expertise or expects a polished UI; this is a practitioner's tool that assumes you know what you're hunting for before you run it.
Data verified Jun 2026
ADYour product here. Reach security decision-makers.Launch a campaign
1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
YARA Silly Silly
A semi-automatic tool to generate YARA rules from virus samples.
Side-by-Side Comparison
Feature
1stProtect.ai
YARA Silly Silly
Pricing Model
Commercial
Free
Category
Detection Engineering
Detection Engineering
Verified Vendor
Open Source
GitHub Stars
28
Last Commit
Apr 2025
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
Need help choosing?
Explore more tools in this category or create a security stack with your selections.
