SPECTRAL
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RUNTIME AI GOVERNANCE FOR HEALTH SYSTEMS

Stop Flying Blind on AI in Your Hospital.

Spectral gives you 90–95% visibility into AI usage — shadow and vendor — from inside your VPC so you can enforce policy at runtime, unblock stalled AI programs, and answer OCR and board questions with evidence.

Zero PHI stored<10ms latencyWorks with Epic, Cerner, OpenAI, Claude, internal AI
See How It Works

Trusted by CISOs, AI leaders, and compliance teams at leading health systems and payers.

Where Healthcare Is Blind

Pre-deploy GRC and DLP see only parts of the problem. Spectral sits inline and sees where AI actually happens: browser, desktop, and vendor APIs.

Approved Vendor AI

Today
  • No runtime visibility into how models are used
  • BAAs without runtime evidence (no defensible compliance)

Shadow AI

Today
  • Complete visibility blindspot
  • Zero policy enforcement

All AI (Approved + Shadow)

With Spectral
  • ~90–95% coverage
  • Policy enforcement at point of use

Spectral = real-time visibility + defensible governance for all AI in your system.

The Outcomes

Our platform is built to deliver immediate, board-ready results that unblock innovation while satisfying compliance.

Discover Every Shadow AI Tool and User in 24 Hours

Identify all unsanctioned AI tools and users across your network in under 24 hours.

  • Map your full AI risk surface

Stop Unapproved PHI & PII Leaks in Real Time

Avoid $100k–$1.5M OCR fines and multi-million-dollar PHI breach settlements by catching PHI leaks before they happen.

  • Unblock innovation teams

Create Immutable, Defensible AI Audit Logs

Give GRC the runtime telemetry they need so stalled AI pilots can move forward instead of sitting in limbo for 6–12 months.

  • Answer board & OCR questions

How It Works (in 60 Seconds)

Spectral deploys as an agentless, zero-latency proxy in your existing environment. No agents, no endpoints, no PHI ever leaves your VPC.

01 – Observe

Deploy in Your VPC

Installs as a lightweight proxy in your environment. Every AI request and response flows through — no agents, no new endpoints.

02 – Enforce

Healthcare Match Engine

Our engine inspects traffic in-memory, matching against a healthcare PII/PHI library in <10ms and enforcing vendor allow-lists and role-based policies in real time.

03 – Report

Immutable Audit Logs

Redact, block, or alert on policy violations and send immutable, audit-ready metadata logs to your SIEM and GRC systems.

Live in <48 hours. Agentless. Zero PHI leaves your environment.

7-Day Shadow AI Discovery

7-Day Shadow AI Discovery is Phase 1 of our 30-day, $100k POC — a low-friction way to see your AI risk surface before committing to a pilot.

A no-risk, one-week engagement to show you exactly what your AI risk surface looks like.

What you get:

  • Full inventory of shadow & vendor AI tools in use
  • PHI/PII risk map by department & role
  • Board-ready slides you can use next quarter
DAY 1VPC Deploy & Scan
DAY 2–3Shadow AI Discovery
DAY 4–6PHI/PII & Governance Analysis
DAY 7Full Risk Review

Design Partner Program

30-Day POC – $100k / 30 days

Prove value + surface shadow AI & PHI risk.

Most Popular
  • Includes 7-Day Shadow AI Discovery
  • Full "shadow AI" & vendor AI inventory
  • PHI/PII risk analysis & governance recommendations
  • Executive readout & OCR/board packet
  • 100% credit applied to pilot or annual

90-Day Pilot – ~$400k / 90 days

  • Enforce policies across multiple departments
  • Iterate on rules to reduce PHI events
  • Validate operational fit & ROI before full rollout

Year 1 Platform

$1M–$1.5M / Year

System-level runtime governance, browser + desktop + API coverage, and ongoing board/OCR reporting.

KPI Guarantee

100% Refund

If we don't surface material risk or unblock at least one AI initiative in 12 weeks, you don't pay. The 30-day POC pays for itself with one prevented incident or by unblocking a single high-impact AI program.

Who This Is For

Built For

  • CISOs who need to answer "what AI is running?" before the board asks
  • Compliance teams stuck explaining shadow AI risk without runtime data
  • VPs of AI blocked by GRC because there's no audit trail
  • Health systems running 500+ beds, national payers, or multi-site healthcare platforms

Not Built For

  • Organizations without active AI usage or pilots in progress
  • Teams that don't need HIPAA/OCR-grade audit logs
  • Single-hospital or ambulatory-only practices (<200 beds)
  • IT teams looking for endpoint security or traditional DLP (we do AI-specific runtime governance)

Security FAQ

Do you store PHI or PII?
Absolutely not. Spectral is a zero-PHI-storage platform. All inspection and matching happens in-memory and in <10ms. The only data stored are metadata logs (e.g., "PHI type X was redacted from request Y"), which contain no PHI/PII values themselves.
How does this impact network latency?
Our proxy adds <10ms of overhead at P95, which is imperceptible in production workflows. We've optimized every layer — from Rust-based pattern matching to connection pooling — to ensure your teams don't notice it's there.
What if we already use Datadog / Palo Alto / Zscaler?
Those are excellent general-purpose security and observability tools. Spectral is purpose-built for AI governance in healthcare: we speak the language of HIPAA, understand clinical context, and provide AI-specific risk scoring. We integrate with (not replace) your existing stack — you can send our metadata logs to Datadog or Splunk for centralized analysis.
Can this work with on-prem AI models or Epic?
Yes. Spectral is model-agnostic and environment-agnostic. Whether you're using GPT-4, Claude, a local LLaMA deployment, or Epic's AI features, we sit at the network layer and inspect HTTP/HTTPS traffic. We support cloud VPCs (AWS, Azure, GCP) and on-prem deployments.
What does "immutable audit logs" mean?
Every AI transaction creates a tamper-proof metadata record (timestamp, user, model, policy action) stored in append-only format. This gives you defensible evidence for OCR, HIPAA audits, or board reviews — you can prove exactly what happened and when, without relying on manual reporting or retrospective guesswork.
How is this different from AI risk assessment tools like Qualified Health or ALIGNMT AI?
Those platforms help with pre-deployment evaluation (vendor vetting, contract review). Spectral operates at runtime: we monitor what AI systems actually do in production, enforce policies in real time, and give you ongoing visibility into both approved and shadow AI. Think of them as complementary — they help you choose vendors, we help you govern them once deployed.

Ready to See Your AI Risk Surface?

Get your 7-day Shadow AI Discovery. No commitment. Full risk map delivered in one week.

Limited to 5 health systems per quarter