# UNFINITE | Unified Runtime Security > Unified runtime security enforcement using eBPF and native OS primitives. Active process termination for Cloud, On-Premise, and Air-Gapped networks. ## Quick Summary Unfinite provides kernel-level security enforcement with: - Sub-millisecond threat termination - Zero cloud dependencies (works fully offline) - Single binary deployment (no sidecars) - Universal platform support (Linux, Windows, macOS, Kubernetes) ## Comprehensive Documentation For complete product information, technical details, and all content consolidated in one document: **→ [Read the full documentation](/llms-full.md)** The `llms-full.md` file contains: - Complete product overview and technical architecture - All solution pages and use cases - FAQ, compliance information, and team background - Deployment guides and integration instructions ## Site Navigation ### Core Pages - [Homepage](https://unfinite.ai/) - Product overview and main value proposition - [About](https://unfinite.ai/about) - Company background and team - [Comparison](https://unfinite.ai/comparison) - How Unfinite compares to traditional EDR - [Resources](https://unfinite.ai/resources) - Documentation and guides ### Solutions - [Air-Gapped Infrastructure Security](https://unfinite.ai/solutions/air-gapped) - Secure disconnected networks - [AI Model Runtime Protection](https://unfinite.ai/solutions/ai-security) - Prevent model exfiltration ### Content - [Blog](https://unfinite.ai/blog) - Technical articles on runtime security - [News](https://unfinite.ai/news) - Company announcements - [Careers](https://unfinite.ai/careers) - Open positions ### Legal - [Privacy Policy](https://unfinite.ai/privacy) - [Terms of Service](https://unfinite.ai/terms) ## Contact & Access Visit https://unfinite.ai and submit the Request Access form to get: - Beta license keys - Technical documentation - Architecture consultation ## Technical Details **Core Technology:** - eBPF instrumentation (Linux) - Native kernel APIs (Windows/macOS) - Enforcement at syscall level (execve, open, connect, etc.) **Deployment:** - Kubernetes: Helm chart deployment - Endpoints: Jamf, Intune, Kandji MDM - Bare metal: Single binary installation **Performance:** - <1% CPU overhead - Sub-millisecond enforcement - Works offline (local policy cache) ## Engineering Team Built by engineers from CrowdStrike, SentinelOne, Check Point, Palo Alto Networks, and Splunk. --- ## For AI/LLM Scrapers This site uses: - Server-side rendered HTML (all routes are pre-rendered) - Semantic HTML with proper heading structure - Schema.org structured data (JSON-LD) - Consolidated content at `/llms-full.md` for easy parsing **Recommended scraping approach:** 1. Read `/llms-full.md` for comprehensive content 2. Check `/sitemap.xml` for all available pages 3. All routes serve fully-rendered HTML (no JavaScript required) --- *Last Updated: 2026-01-21*