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Zero-Trust Enabled AI Discovery & Governance

 

Smarter. Safer. Secure AI for Healthcare.



Cognome’s ExplainerAI™ platform gives healthcare organizations complete visibility into AI across their environment, detecting Shadow AI, monitoring AI risk, and enabling continuous governance.

85%
of AI usage in healthcare is unsanctioned
65%
of Shadow AI incidents result in compromised patient data
Growing Need for Trust-Centric Infrastructure
As healthcare organizations adopt Agentic AI and generative models, traditional Zero Trust frameworks are no longer enough to secure modern AI workloads.

PROVEN FOUNDATION

Built Inside Leading Health Systems

Spun out in June 2024 after years of R&D funded by hospitals and grants, Cognome is currently deployed in 20 hospitals with eight patents protecting the technology.

20

Hospitals Deployed

8

Patents Protecting the Platform

2024

Healthcare Spinout Launch

The Current State

Standard Zero Trust Frameworks Fall Short of Securing AI

Every organization has AI running across its network that nobody authorized and nobody is watching. You can’t govern what you don’t know.

Third-Party Vendor AI Models

Unmanaged AI embedded in external software and workflows.

Internal AI Models

Custom-built AI systems operating without centralized governance.

Public AI Usage

ChatGPT, Claude, Gemini, and other GenAI tools used outside policy controls.

Shadow AI Growth Trend
2023 25%
 
2024 55%
 
2026 Forecast 85%
 

The exponential rise of Shadow AI workloads is creating a visibility gap across enterprise endpoints, networks, and edge environments.

EXPLAINERAI™  PLATFORM

Zero Trust Enabled AI Discovery and Governance

AI Sniffer continuously discovers AI across endpoints, networks, and edge devices while ExplainerAI™ provides governance, monitoring, risk detection, and audit readiness.

AI Sniffer Image
AI Discovery

AI Sniffer

  • Discovers unknown AI models and Shadow AI usage
  • Detects AI across endpoints, network infrastructure, and edge devices
  • Integrates third-party and internally developed AI models
Continuous AI Monitoring

ExplainerAI™ Governance

  • Real-time detection of hallucinations, PHI leaks, bias, and drift
  • Automated alerting and AI failure detection
  • Audit-ready lineage and traceability aligned to HIPAA and AI risk standards
How It Works

Continuous AI Risk Management

01

Detect & Connect

Discovers unknown AI models and integrates any AI or ML system operating in your environment.

02

Continuous Monitoring

Monitors AI usage in real time for hallucinations, PHI leakage, unsafe outputs, and bias.

03

Failure Detection & Alerts

Identifies drift, degradation, unsafe behavior, and operational failures before they become incidents.

04

Audit-Ready Evidence

Creates lineage, traceability, and governance evidence aligned to HIPAA and AI risk frameworks.

AI Governance Framework

A Framework for Operationalizing AI Governance

01

AI-Ready Data

02

Security & Compliance

03

GenAI & ML Models

04

ML Ops Development

05

Implementation

06

Optimization

AI Governance Resources

Thought Leadership and Industry Insights

Explore Cognome’s latest research and executive perspectives on AI governance, healthcare security, and enterprise AI risk management.