1stProtect.ai vs Knockknock: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
1stProtect.ai is a commercial endpoint detection and response tool by 1stProtect.ai. Knockknock is a free endpoint detection and response tool. Compare features, ratings, integrations, and community reviews side by side to find the best endpoint detection and response fit for your security stack.
CST VerdictBased on our analysis of core features, integrations, here is our conclusion:
Mac-focused security teams with limited budgets should start with Knockknock to audit persistence mechanisms that commodity malware relies on, especially rootkits and launch agents that traditional antivirus misses. It's free and open-source, so deployment friction is near zero and you can inspect the code yourself. Skip this if you need real-time prevention or cross-platform coverage; Knockknock is a forensic scanner for macOS, not an EDR replacement.
Data verified May 2026
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1stProtect.ai
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
Knockknock
A free, open-source tool that uncovers persistently installed software on macOS, helping to generically reveal malware.
Side-by-Side Comparison
Feature
1stProtect.ai
Knockknock
Pricing Model
Commercial
Free
Category
Endpoint Detection and Response
Endpoint Detection and Response
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
File Analysis
Mac Os
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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