Modern cybersecurity teams rely on accurate, context-rich asset data to understand how attackers could move through their environment. With DeepSurface’s new integration with Lansweeper, organizations can now generate far more precise attack path analyses, faster than ever.

The Challenge: Incomplete Asset Context Slowed Exploitability Scoring

DeepSurface Risk Analyzer helps organizations model exploitable vulnerabilities and visualize attack paths, but to generate accurate risk graphs, it needs detailed context on each device’s role, software profile, and business criticality. Many customers lacked up-to-date asset inventories, resulting in incomplete threat models and slower analysis cycles during time-sensitive assessments.

The Integration: Real-Time Metadata Feeds via the Lansweeper API

To solve this, DeepSurface integrated with Lansweeper’s Data API, scheduling software and hardware inventory pulls at regular intervals while using webhooks to trigger on-change updates. The integration collects software install data, OS versions, user details, device types, and lifecycle state. These enriched profiles flow into DeepSurface’s graph engine, where contextual attributes drive risk scoring and identify the most likely attack vectors.

The Outcome: Faster, More Accurate Attack Path Modeling Powered by Complete Asset Context

By integrating with Lansweeper, DeepSurface has improved the accuracy of attack path analysis by 42%, thanks to the increased fidelity in asset context. Customers conducting threat modeling for critical systems report reducing the average time to complete an assessment from 5 days to under 2 days, improving both response time and audit readiness. This enables faster insight into potential exposures and helps meet compliance and audit deadlines with confidence.