# Hilt

> Hilt is a data movement governance platform for cloud, endpoint, and network environments. It helps security teams understand how data actually moves so they can detect and stop unauthorized movement earlier.

## Start Here

- [Full site text](https://hilt.ai/llms-full.txt): The complete text of every public page in one document. Fetch this first to read the entire site in a single request.
- [Overview](https://hilt.ai/llms/overview.md): Category definition, primary buyers, and the core Hilt narrative.
- [Differentiation](https://hilt.ai/llms/differentiation.md): How Hilt differs from DLP, CASB/SSE, DDR, insider risk tooling, and posture-first platforms.
- [Deployment and Operations](https://hilt.ai/llms/deployment.md): Supported environments, telemetry layers, and the operating model across cloud, endpoint, and network.
- [Public Site Map](https://hilt.ai/llms/site-map.md): Canonical public pages and which page is best for which question.

## Core Pages

- [Data movement governance for real-time data exfiltration prevention.](https://hilt.ai/?from=llms_txt): Main category page for data movement governance and data exfiltration prevention.
- [Compare Hilt against the categories buyers evaluate most often.](https://hilt.ai/compare?from=llms_txt): Category comparison hub for buyers evaluating Hilt against DLP, DDR, insider risk, and other adjacent approaches.
- [Hilt vs DLP: content rules versus runtime movement prevention.](https://hilt.ai/compare/hilt-vs-dlp?from=llms_txt): Compare Hilt with traditional DLP. See where content inspection helps, where it misses behavioral exfiltration, and how runtime governance differs.
- [Hilt vs DDR: explanation-first versus containment-first.](https://hilt.ai/compare/hilt-vs-ddr?from=llms_txt): Compare Hilt with DDR to understand the tradeoff between lineage-based explanation and runtime containment for data exfiltration prevention.
- [Hilt vs insider risk: user scoring versus movement-aware prevention.](https://hilt.ai/compare/hilt-vs-insider-risk?from=llms_txt): Compare Hilt with insider-risk and UEBA tools to see where user scoring helps, where it stops, and how runtime data movement prevention changes response.
- [Cloud runtime telemetry for data movement and exfiltration detection.](https://hilt.ai/cloud?from=llms_txt): See how Hilt captures cloud workload telemetry, container-aware context, and runtime data movement across Kubernetes and adjacent cloud environments.
- [Endpoint telemetry for insider risk, shadow AI, and abnormal data movement.](https://hilt.ai/endpoints?from=llms_txt): See how Hilt captures endpoint file, process, clipboard, and behavioral telemetry to investigate unusual access patterns and risky data movement.
- [Wire-level telemetry for egress, lateral movement, and cross-boundary transfers.](https://hilt.ai/network?from=llms_txt): See how Hilt captures wire-level network telemetry, egress patterns, and cross-boundary data movement without requiring an inline deployment.
- [The platform that governs data movement, at the kernel.](https://hilt.ai/platform?from=llms_txt): Hilt is a data-movement governance platform: kernel-level, observational, metadata-only. Collect at the kernel, resolve identity, detect exfiltration patterns, respond, single-tenant in your own cloud.
- [The Hilt content hub for alternatives, guides, and proof.](https://hilt.ai/blog?from=llms_txt): Competitor alternatives, data exfiltration prevention guides, and technical explainers from Hilt. Buyer education for runtime data security.
- [Answers to common Hilt deployment, performance, and privacy questions.](https://hilt.ai/faq?from=llms_txt): Answers to common questions about Hilt, including performance, inline blocking, supported environments, deployment speed, shadow AI monitoring, and privacy.
- [Hilt builds the runtime layer for data movement governance.](https://hilt.ai/about?from=llms_txt): Learn what Hilt is building, who it is for, and how it approaches data movement governance, runtime telemetry, and data exfiltration prevention.
- [Privacy Policy](https://hilt.ai/privacy?from=llms_txt): Read how Hilt handles public-site personal data, analytics, walkthrough requests, and privacy practices.
- [Terms and Conditions](https://hilt.ai/terms?from=llms_txt): Read the terms and conditions that govern the use of Hilt's public website and related public interactions.
- [Your stack is working. Here is what it still cannot catch.](https://hilt.ai/gap?from=llms_txt): Three real scenarios. CrowdStrike, Zscaler, and Proofpoint all working as designed. All three still leaked data. This is the structural gap Hilt closes.
- [Hilt vs Cyberhaven: The Best Cyberhaven Alternative (2026)](https://hilt.ai/compare/hilt-vs-cyberhaven?from=llms_txt): Compare Hilt vs Cyberhaven for data exfiltration prevention. See how kernel-level eBPF telemetry outperforms user-space DDR for real-time data protection.
- [Hilt vs Cyera: The Best Cyera Alternative (2026)](https://hilt.ai/compare/hilt-vs-cyera?from=llms_txt): Compare Hilt vs Cyera for data exfiltration prevention. See how runtime telemetry differs from DSPM and posture-first data security.
- [Hilt vs DTEX: The Best DTEX Alternative for Insider Risk (2026)](https://hilt.ai/compare/hilt-vs-dtex?from=llms_txt): Compare Hilt vs DTEX for insider risk and data exfiltration prevention. See how kernel-level telemetry changes visibility and containment.
- [Hilt vs Nightfall: The Best Nightfall AI Alternative (2026)](https://hilt.ai/compare/hilt-vs-nightfall?from=llms_txt): Compare Hilt vs Nightfall for data exfiltration prevention. See how kernel-level telemetry differs from SaaS-first content inspection and cloud DLP.
- [Hilt vs Varonis: The Best Varonis Alternative (2026)](https://hilt.ai/compare/hilt-vs-varonis?from=llms_txt): Compare Hilt vs Varonis for data exfiltration prevention. See how runtime telemetry differs from posture, permissions, and user-space governance.

## Key Articles

- [CSPM Limits: Why Cloud Security Posture Management Is Not Enough](https://hilt.ai/blog/cloud-security-posture-management-limits?from=llms_txt): Cloud security posture management finds misconfigurations but misses runtime threats. Learn why CSPM is necessary but insufficient for cloud security.
- [SOC Efficiency: Why Alert Volume Is the Wrong Metric](https://hilt.ai/blog/security-operations-center-efficiency?from=llms_txt): Security operations center efficiency isn't about fewer alerts. It's about higher fidelity detection that lets analysts focus on real threats.
- [IP Theft Prevention: How Enterprises Protect Their Most Valuable Data](https://hilt.ai/blog/ip-theft-prevention-enterprise?from=llms_txt): IP theft prevention requires kernel-level visibility into data exfiltration patterns. Learn how enterprises detect trade secret theft before damage occurs.
- [Threat Hunting at the Kernel: What EDR Telemetry Leaves Out](https://hilt.ai/blog/threat-hunting-without-edr?from=llms_txt): EDR filters syscalls before you see them. Kernel telemetry captures raw execution context for threat hunting techniques that catch fileless malware and evasion.
- [Telemedicine Data Security: PHI Protection Beyond Encryption](https://hilt.ai/blog/telemedicine-data-security?from=llms_txt): Telemedicine data security requires more than encryption. Learn how behavioral anomaly detection stops PHI exfiltration that encryption can't prevent.
- [Gaming and Casino Cybersecurity: Compliance, IP Protection, and the Insider Threat](https://hilt.ai/blog/gaming-industry-cybersecurity?from=llms_txt): Gaming industry cybersecurity faces unique challenges: PCI-DSS compliance, state regulations, IP protection, and insider threats. How runtime detection helps.
- [Kernel-Level Security: What It Is and Why It Matters for Enterprise](https://hilt.ai/blog/kernel-level-security-explained?from=llms_txt): Kernel level security monitors threats at the OS core where application-layer tools can't reach. Here's what it means for enterprise security teams.
- [Zscaler Alternative: When Network Control Isn't Enough for Insider Risk](https://hilt.ai/blog/zscaler-alternative?from=llms_txt): Zscaler controls network access but can't see behavioral anomalies in permitted traffic. Learn when you need kernel-level visibility for insider risk.