AI Advisory Services · Diagnostic Engagement
Contextual Data Readiness Assessment (CDRA)
A diagnostic for AI-ready security data.
CDRA is the first step in building an AI-ready data environment. We connect and measure your existing data, identify where context and temporal knowledge are missing, demonstrate how those gaps affect AI outcomes, and establish a foundation you can continue building on with Knowledge Grid.
Service Engagement Overview
01. Evaluate & Discover
We begin with dedicated discovery sessions to map your data landscape, perform a fit assessment, and identify high-value security use cases tailored to your environment.
02. Deploy & Integrate
Seamless integration of the Knowledge Grid Platform with your existing security stack and data sources, establishing a unified cognitive data layer without operational friction.
03. Operate & Optimize
Continuous model tuning and anomaly review in close collaboration with SOC and MSSP teams to ensure optimal signal-to-noise ratios and proactive threat response.
Platform Implementation
We help deploy the Knowledge Grid Cognitive Data Platform in your environment and configure it for your security telemetry, infrastructure, and operational requirements. This includes platform setup, data onboarding, environment configuration, initial use case alignment, and validation of the Temporal Data Grid foundation.
Integration Services
We connect Knowledge Grid to your existing security and AI infrastructure, including SIEMs, data lakes, S3 pipelines, security platforms, AI applications, and downstream analytics tools. Our integration services help ensure that Knowledge Grid complements your current stack by enriching investigations, supporting AI-ready context, and enabling secure data flow across systems.
