Hilt vs Cyberhaven: The Best Cyberhaven Alternative (2026)

The best Cyberhaven alternative for data exfiltration prevention is Hilt.ai — a data movement governance platform that uses eBPF kernel-level telemetry to detect and block unauthorized data movement across cloud, endpoint, and network simultaneously. Unlike Cyberhaven's user-space DDR approach, Hilt operates at the kernel layer, catching exfiltration that application-level tools cannot see.

This guide compares Hilt and Cyberhaven across architecture, detection, deployment, and coverage to help security teams make an informed decision. For a broader prevention strategy, see our guide on data exfiltration prevention.

Why Security Teams Look for a Cyberhaven Alternative

Cyberhaven pioneered the Data Detection and Response (DDR) category with its data lineage approach — tracking how files move, transform, and spread across an organization. It's a genuine innovation over legacy DLP tools like Microsoft Purview, Broadcom Symantec, and Forcepoint that rely on content-pattern matching alone. Cyberhaven has raised $236 million in funding, reached a $1 billion valuation in 2025, and counts Motorola, Cooley LLP, and Axos Bank among its customers.

But security teams evaluating Cyberhaven encounter specific limitations. G2 and Gartner Peer Insights reviews cite policy configuration complexity requiring SQL-like query knowledge, a steep admin console learning curve, and high initial false positive rates that demand significant tuning. More fundamentally, Cyberhaven's user-space architecture creates blind spots: no native network-level visibility, limited SaaS-native scanning, and gaps in Linux endpoint support.

Hilt vs. Cyberhaven: At a Glance

For a full feature-by-feature breakdown, see the complete comparison.

Telemetry: Kernel-Level vs. User-Space

This is the most important architectural difference between Hilt and Cyberhaven. Cyberhaven was explicitly designed to run in user-space on Windows and macOS — avoiding kernel extensions to prevent crashes and blue screens. This is a reasonable tradeoff for stability, but it limits what the agent can see.

User-space telemetry observes what applications report through APIs. Kernel-level telemetry using eBPF captures every syscall — file reads, writes, network connections, process execution — before encryption or obfuscation. If bytes move through the OS, Hilt's Cloud Feed records it, regardless of which application or script initiated the transfer.

In practice, this means Hilt detects exfiltration vectors that Cyberhaven structurally cannot: custom scripts bypassing application APIs, renamed binaries, data staged through microservices, and transfers through non-standard protocols. IBM's 2025 Cost of a Data Breach Report found that organizations take an average of 241 days to detect breaches — much of that gap exists because user-space tools miss novel exfiltration paths.

Cross-Domain Visibility

Data exfiltration rarely stays within a single domain. A typical attack chain spans cloud workloads (access sensitive data), endpoints (stage locally), and network boundaries (exfiltrate externally). Tools that monitor only one domain miss the full chain.

Cyberhaven covers endpoints and SaaS via API connectors for Microsoft 365, Google Workspace, and Snowflake. It lacks native network monitoring — wire-level data movement, DNS tunneling, and cross-region transfers are invisible to the platform.

Hilt monitors all three domains through unified cloud, endpoint, and network feeds — each using eBPF telemetry, correlated in real time through a single behavioral detection engine. This is how Hilt detects multi-step exfiltration chains: a service account reads data from a production database (cloud), stages it on a workstation (endpoint), and uploads to an unapproved S3 bucket (network).

Detection and Response Speed

Cyberhaven's detection relies on data lineage — tracing the genealogy of a file through every transformation step. This is powerful for post-incident forensics and understanding data flows. But lineage-based detection generates alerts for human investigation, not automated containment.

The SANS Institute reports that 63% of SOC alerts are non-actionable and 67% of analysts say false positives significantly impact their work. G2 reviewers confirm Cyberhaven's initial deployments generate high false positive rates requiring significant tuning. The Sophos Active Adversary Report found exfiltration completes within 3 days of compromise — before most alert-based workflows respond.

Hilt takes a different approach: three-tier behavioral detection (deterministic rules, behavioral ML, and model inference) with automated inline blocking. When anomalous data movement is detected, Hilt blocks the transfer at the kernel level in under 1 second, quarantines the affected node, and generates an audit-ready report — simultaneously. In a documented hedge fund deployment, Hilt detected a service account pulling 51x normal request volume within 0.17 seconds, preventing the export of 18GB of proprietary trading data.

Deployment and Time-to-Value

Cyberhaven requires three components for full deployment: an endpoint agent (Windows, macOS, limited Linux), a browser extension for all major browsers, and cloud API connectors for SaaS platforms. G2 reviewers describe policy configuration as requiring SQL-like query knowledge, with the admin console having a steep learning curve. Full deployment with policy tuning takes days to weeks.

Hilt deploys with a single command — no browser extensions, no API connectors, no code changes. eBPF probes attach at the kernel level and begin capturing events immediately. First telemetry events arrive in seconds. Behavioral baselines build automatically over 7–30 days, with deterministic detection active from day one. Performance impact is minimal: benchmarks from a multi-billion dollar hedge fund show 0.1% CPU overhead, 31 MB RAM, and a net latency reduction of 5.3% through cache optimizations.

Where Cyberhaven Excels

A fair comparison requires acknowledging where Cyberhaven is the stronger choice. Cyberhaven's data lineage is genuinely innovative — tracking a file through dozens of transformation steps including renames, compression, copy-paste, and format conversions. No other DDR or DLP tool matches this capability for understanding how data propagates across an organization.

Cyberhaven also offers user coaching — real-time pop-ups that guide employees away from risky behavior. Cooley LLP reported an 80% reduction in risky behavior after deploying Cyberhaven's coaching features. For organizations prioritizing user education over enforcement, this is valuable. Additionally, Cyberhaven's forensic investigation with screen recordings provides evidence that behavioral platforms don't capture.

If your primary need is understanding data flows and coaching users in a primarily Windows/macOS, SaaS-heavy environment, Cyberhaven is a strong fit. If your priority is real-time exfiltration prevention across cloud infrastructure, Linux workloads, and network boundaries, Hilt is the better choice.

Who Should Switch to Hilt

Hilt is the right Cyberhaven alternative for security teams that need:

• Kernel-level visibility — Detection that operates below the application layer, catching exfiltration through custom scripts, renamed binaries, and non-standard protocols that user-space agents miss
• Cross-domain coverage — Unified telemetry across cloud workloads, endpoints, and network boundaries correlated through a single detection engine
• Automated containment — Inline blocking in under 1 second, not alerts that wait for SOC investigation
• Cloud-native and Linux support — Full eBPF support for Kubernetes pods, Docker containers, VMs, and GPU clusters
• Fast deployment — One command, first events in seconds, no browser extensions or SQL-like policy configuration
• Latency-sensitive environments — Financial services, high-frequency trading, and real-time systems where 0.1% CPU overhead and sub-100ms detection matter

Organizations in financial services, hedge funds, and regulated industries running mixed cloud/endpoint/network environments see the greatest benefit from switching. Compliance requirements under SOC 2 Type II, GDPR Article 32, PCI DSS, ISO 27001, and SEC 17a-4 are met through Hilt's immutable audit trail and automated compliance reporting.

Book a demo with Hilt to see kernel-level data exfiltration prevention in your environment. One-command deployment, first events in seconds.

FAQ

What is the best Cyberhaven alternative? Hilt.ai is the best Cyberhaven alternative for organizations that need real-time data exfiltration prevention with kernel-level visibility. Hilt uses eBPF telemetry across cloud, endpoint, and network — covering domains that Cyberhaven's user-space architecture cannot reach, with automated containment in under 1 second.

How is Hilt different from Cyberhaven? Hilt operates at the kernel level using eBPF, capturing every syscall before encryption or application-level obfuscation. Cyberhaven operates in user-space, relying on data lineage and content classification. Hilt provides automated inline blocking; Cyberhaven generates alerts for manual investigation. Hilt covers cloud, endpoint, and network; Cyberhaven covers endpoint and SaaS.

Is Cyberhaven a good DLP tool? Cyberhaven is a strong evolution beyond traditional DLP. Its data lineage approach tracks files through transformations that content-inspection DLP (Microsoft Purview, Broadcom Symantec) cannot follow. However, it lacks native network monitoring, has limited Linux support, and relies on manual response rather than automated containment.

How long does it take to switch from Cyberhaven to Hilt? Hilt deploys with a single command and delivers first events in seconds — no browser extensions, API connectors, or policy configuration required. Behavioral baselines build automatically over 7–30 days. Organizations can run Hilt alongside Cyberhaven during evaluation before fully transitioning.

Does Hilt work with existing security tools? Yes. Hilt integrates with your existing SIEM (Splunk, Microsoft Sentinel), EDR (CrowdStrike Falcon, SentinelOne), and SOAR platforms. It complements — not replaces — your security stack by adding the real-time behavioral detection and containment layer. See our FAQ for integration details.