Behavioral Operational Intelligence

Behavioral Visibility & Prioritization for Modern Security Teams

FoundationDx is a behavioral operational intelligence layer for healthcare security teams. We surface meaningful behavioral changes, reduce operational noise, and prioritize what may warrant attention — through hybrid AI, feature engineering, and statistical analysis — with rapid deployment and summarized operational visibility designed to complement the tools your team already uses.

Most Organizations Collect Data. Few Extract Meaningful Insight.

Healthcare organizations generate massive volumes of data across systems like DUO, Microsoft 365, EMRs, and network infrastructure.

  • Behavioral risks go unnoticed
  • Alert fatigue hides real threats
  • Manual analysis is slow and incomplete
The result: risks remain buried until it's too late.

Example Findings

Authentication · 12 accounts
Elevated after-hours authentication activity concentrated across 12 user accounts — grouped and summarized for team review.
Prioritized for operational review
Access Patterns · 47 accounts
Authentication from 3 shared IP addresses spanning 47 accounts — clustered by behavioral similarity for faster interpretation.
Cluster analysis surfaced grouping
Shift Monitoring · 14-day window
A department's access pattern shifted meaningfully over a 14-day observation window — surfaced before manual review would have identified it.
Operational alert generated
Credential Risk · Multi-user
Repeated authentication failures across a user group prioritized for review — reducing manual log investigation overhead for the security team.
Escalated to security team

A Smarter Approach to Operational Visibility

FoundationDx applies behavioral analysis and configurable rules to surface patterns that traditional tools overlook. Our platform continuously refines its understanding of your environment — so operational insight improves over time.

🔐

Authentication Irregularities

Deep analysis of DUO & Microsoft 365 authentication events to surface credential-based threats instantly.

👤

Meaningful Behavioral Changes

User-level behavioral baselines surface meaningful shifts in activity — helping teams understand what's changing before it becomes a problem.

🛡️

Operational Warning Signals

Surface concentrated areas of unusual activity that may warrant a closer operational review — across your entire environment.

📊

Operational Outliers

Surface clinical and operational inefficiencies hidden in high-volume data streams.

🔬

Cluster Analysis New

Group complex numeric and categorical data into meaningful risk clusters — revealing hidden population-level patterns invisible to rule-based tools.

What We Detect

Using real-world data, FoundationDx surfaces behavioral patterns and irregularities that are often early signals of security concerns or system misuse.

These are often early signals of security concerns or system misuse — surfaced before they become costly incidents.
  • Spray attacks across multiple user accounts
  • Impossible travel / geolocation irregularities
  • Repeated login failures (single or multi-user)
  • Authentication bursts from shared IPs or devices
  • Unusual login behavior outside normal patterns

Uncover Hidden Patterns Across Mixed Data Types

FoundationDx applies behavioral clustering to group users, devices, and events into risk-differentiated segments — combining numeric metrics and categorical attributes that traditional tools analyze in isolation.

Handles: Numeric Time-series Frequency counts Categorical Role / department Device type Location Auth method
  • 🧮
    Mixed-Mode Clustering Handles both numeric (login counts, failure rates, session duration) and categorical (role, device type, auth method) fields using hybrid distance metrics — no manual conversion needed.
  • 📐
    Automatic K Selection Statistical methods (silhouette scoring, elbow analysis) determine the optimal number of clusters for your dataset — no manual tuning required.
  • 🎯
    Risk Scoring Per Cluster coming soon. Each cluster is assigned a composite risk score based on its behavioral signature, flagging high-risk groups for immediate investigation.
  • 🔄
    Rolling Cluster Shift Monitoring coming soon. Continuously monitors cluster membership changes over time — highlighting when users or devices move into higher-risk behavioral segments.
  • 📋
    Explainable Cluster Profiles Every cluster is described in plain language: which features define it, what distinguishes it behaviorally, and which records belong to it.
Live Cluster Preview
5
Risk Clusters Identified
2,847
Records Analyzed
134
High-Risk Records

Healthcare Cluster Analysis Use Cases

Use Case 01

User Risk Segmentation

Group users by authentication behavior, role, location, and device — identifying cohorts that share elevated risk characteristics across multiple dimensions.

Use Case 02

Access Pattern Profiling

Cluster EMR access events by time, record type, volume, and department to detect physicians or staff whose access patterns deviate from their peer group.

Use Case 03

Device & Endpoint Grouping

Segment devices by OS, location, authentication method, and failure rate to surface high-risk endpoint clusters that warrant priority remediation.

Use Case 04

Operational Efficiency Clusters

Analyze clinical workflow data — visit duration, order volumes, escalation rates — to identify process clusters with systemic inefficiencies.

What Makes FoundationDx Different

FoundationDx is a purpose-built operational visibility layer — delivering behavioral prioritization, summarized interpretation, and operational context for complex healthcare data environments. Not a broad platform. Not a replacement for what you already have.

Focused, Not Generic

Purpose-built for operational visibility in complex healthcare data environments — not a generic platform trying to do everything.

Adaptive Intelligence

Our analysis uses a rolling behavioral baseline (e.g., 60-day observation window) to continuously adjust as user activity evolves.

Hybrid Detection Model

We combine behavioral analysis with configurable rules, ensuring both flexibility and precision across your unique environment.

Reduced Noise, Actionable Findings

We prioritize meaningful alerts — not overwhelming volumes of data that exhaust your security team.

Lightweight, Rapid Deployment

Delivered as a managed service at the scale and security level your organization requires — minimal configuration, no heavy infrastructure lift, and rapid time to operational value.

Built for Healthcare Scale

Designed to support lean security teams managing high data volumes — without adding operational overhead to already stretched resources.

Our Position

FoundationDx is an operational visibility layer that adds behavioral prioritization and summarized interpretation to your existing security investments — not a competitor, but a workflow enhancement.

Where FoundationDx Fits

FoundationDx is designed to complement existing SIEM, MDR, and operational security environments — not replace them. We reduce the friction between your existing tools and the decisions your team needs to make.

📊

Operational Visibility

Surfaces a clear, summarized view of behavioral activity across your environment so teams spend less time digging and more time acting.

🎯

Prioritization Support

Reduces prioritization friction by identifying what may warrant attention — helping lean teams focus on what matters most.

🔍

Behavioral Concentration

Highlights concentrated areas of behavioral change across users, devices, and systems — patterns that broad tools often flatten or miss.

📋

Simplified Interpretation

Translates complex operational data into plain-language summaries your team can act on — without requiring deep data science expertise.

FoundationDx does not replace your SIEM, MDR, or SOC workflows. It sits alongside them — helping operational teams identify what may warrant attention, reduce noise, and move from raw data to informed prioritization faster.

Built for Organizations That Need More Than Traditional Tools

FoundationDx is designed for lean security teams in healthcare organizations that generate high data volumes and need practical operational insight — without the overhead of a large-scale platform deployment.

  • Health systems and hospitals
  • Critical access facilities
  • Healthcare cybersecurity teams
  • Organizations with high data volume and lean security teams

Start with a Pilot — Not a Long-Term Commitment

Lightweight to deploy, practical to operate. No heavy infrastructure lift, no lengthy onboarding — operational insight without disrupting your existing workflows.

1

Analyze a Defined Dataset

Provide a scoped dataset from your environment — we handle the rest.

2

Surface Meaningful Behavioral Patterns

Our platform identifies meaningful behavioral changes and prioritizes what warrants your attention.

3

Deliver Clear Findings

Receive actionable recommendations you can act on immediately.

Lightweight deployment. Minimal overhead. Operational value in days, not months.

Proven in Real-World Environments

FoundationDx solutions are currently deployed in healthcare environments analyzing large-scale datasets, surfacing behavioral patterns and operational risks that would be difficult and time-consuming to identify manually.

Additional use cases include:

  • Cybersecurity log analysis
  • Predictive patient wellness initiatives
  • Data normalization and discovery projects
  • Mixed-data cluster analysis & risk segmentation

Operational Visibility Built for How Security Teams Actually Work

Lightweight to deploy and practical to operate — FoundationDx delivers operational visibility without adding overhead to your team or disrupting what's already working.

★  Special offers for underserved and 501(c) organizations  ★

Duo and Cisco Duo are trademarks or registered trademarks of Cisco Systems, Inc. and/or its affiliates in the United States and certain other countries. Microsoft 365 is a trademark or registered trademark of Microsoft Corporation in the United States and/or other countries. FoundationDx is not affiliated with, endorsed by, or sponsored by Cisco Systems, Inc. or Microsoft Corporation. All other trademarks, product names, and company names mentioned herein are the property of their respective owners.