The Gaps in Traditional SIEM

Across industries, security and technology executives point to a familiar set of challenges that limit the effectiveness of their SIEM investments:

These challenges create a critical need for solutions that reduce cost, expand visibility, and leverage AI/ML to detect and respond to threats with speed and precision.

Entrada’s Gatehouse: A Next-Generation Approach to Cybersecurity 

Entrada’s Gatehouse solution addresses the shortcomings of traditional SIEM platforms by combining the scalability of the Databricks Lakehouse platform with proprietary graph networks and large language models (LLMs) to deliver a centralized, cost-effective, and highly intelligent cybersecurity foundation.

Key Features

Reduce Storage + Compute Costs: Minimize infrastructure costs while storing more data for deeper, more efficient threat-hunting.
Robust AI/ML Modeling: Deploy custom detection algorithms and automation with extended lookback periods for stronger defense.
Regulatory Compliance: Meet compliance and data retention requirements with actionable visibility and lookback windows.
360-Degree Visibility: Enrich SIEM data with contextual sources to view your complete technology footprint.
Geofencing: Detect unauthorized access attempts by analyzing IoT device location data and user behavior patterns.

Use Cases

Reference Architecture

Why Databricks Makes the Difference

For organizations already running on Databricks, the advantages for cybersecurity are clear, and Gatehouse is designed to capitalize on them:

Unified Data Foundation: Security, IT, and business data already consolidated in the Lakehouse becomes instantly usable for cyber defense. Gatehouse extends this investment, enriching raw SIEM data with contextual business and operational telemetry for deeper, cross-domain threat analysis.
AI/ML at Scale with DI4 Cyber: Databricks’ native support for advanced analytics and machine learning, coupled with the DI4 Cyber framework, enables Entrada to deliver custom detection algorithms, graph-based models, and LLM-driven insights without the limits of traditional SIEM rules engines.
Governed, Compliant by Design: With Unity Catalog and DASF 2.0, security data is automatically governed, lineage-tracked, and audit-ready, ensuring that expanded lookback windows and broader data retention align with regulatory obligations.
Open, Extensible Ecosystem: Gatehouse leverages Databricks’ open architecture and Partner Connect integrations to seamlessly connect to third-party threat intelligence, IoT telemetry, and managed services. This flexibility prevents vendor lock-in and accelerates the deployment of tailored solutions.

Why It Matters for Security Leaders

By moving beyond the limitations of traditional SIEM, organizations using Entrada’s Gatehouse gain the ability to:

Detect and respond to threats faster and with greater accuracy
Reduce security data costs while expanding visibility
Strengthen compliance posture with verifiable audit trails
Empower analysts with enriched, contextual insights instead of noisy alerts
Future-proof their security operations with an open, extensible AI-driven platform

Cybersecurity is no longer about storing logs and checking compliance boxes, it’s about building resilience and intelligence at scale. Powered by Databricks, Entrada’s Gatehouse reimagines SIEM as an intelligent, cost-optimized, and extensible solution that strengthens defenses, reduces complexity, and positions organizations for long-term success.