Healthcare Law Enforcement Enterprise
For Healthcare Organizations

The only AI security platform built around healthcare compliance from day one.

Hospitals, health systems, and healthcare AI vendors are deploying AI faster than compliance teams can review it. RedLens maps every finding to HIPAA and NIST AI RMF automatically, tests AI touching patient data without ever exposing real PHI, and starts with a free assessment. No $500K+/yr enterprise floor required.

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Compliance Mapping
Every finding ships automatically mapped to HIPAA, NIST AI RMF, and OWASP

Most AI security tools hand you a raw vulnerability list and leave the compliance translation to you. RedLens maps every finding to HIPAA §164.x, the NIST AI RMF, and OWASP LLM Top 10 (2026) as part of the report itself: evidence your auditor can actually use, not a separate project.

  • HIPAA §164.x control mapping on every scan
  • NIST AI RMF and OWASP LLM Top 10 (2026) coverage
  • Board-ready, auditor-ready PDF reports
100%
HIPAA §164.x
NIST AI RMF
OWASP LLM Top 10 (2026)
Digital Twin Synthetic Sandbox
Test AI that touches patient data without ever exposing real PHI

RedLens generates synthetic EHR-style records for adversarial testing: fake names, fake MRNs, fake diagnoses, clearly labeled as sandbox-only. Your clinical AI gets tested the way an attacker would test it, and no real patient record ever enters the assessment.

  • Synthetic patient records generated per test run
  • Nothing derived from or resembling real patient data
  • Safe to run against EHR-adjacent and clinical decision-support agents
Shadow AI Discovery
Find the AI tools your staff already adopted before an auditor does

Clinical and administrative staff adopt AI tools faster than IT can inventory them. Shadow AI Discovery passively identifies unofficial AI usage across your environment, so you know what is actually touching your systems rather than just what's on the approved vendor list.

  • Passive discovery, with no agent install required to start
  • Flags unofficial AI tools and unsanctioned integrations
  • Feeds directly into your HIPAA risk assessment
unofficial LLM browser plugin approved agent
Beyond the Scanner

Built for the rest of your HIPAA workload too

Finding the vulnerability is step one. The platform also covers the vendor, the data flow, and the paperwork that follow.

PHI Egress Scan
Paste a sample of what actually flows to an AI vendor, like a chatbot prompt log or a support ticket, and get a pattern-based read on PHI-shaped content heading to a vendor with no BAA on file. Samples are scanned in-memory and never stored; findings are a signal for your compliance review, not a determination.
Vendor AI Assessment
Black-box adversarial testing of the healthcare AI vendors in your stack, gated behind recorded vendor-side authorization before any attack traffic is sent. The output is a Vendor AI Safety Scorecard you can put in front of your risk committee.
Evidence Packages
Point-in-time, auditor-ready records of what your testing captured, mapped to HIPAA Security Rule sections and NIST AI RMF. Every control reads evidence-recorded, partial, or gap. RedLens documents evidence; it never certifies compliance.
Board Briefing
The Boardroom Risk Translator turns confirmed findings into a plain-language briefing your directors and compliance committee can read. Every risk statement cites the real findings it came from.
Accessible By Design

Self-serve free assessment. Pricing that doesn't require a $500K+/yr floor.

Enterprise-grade AI red teaming from companies like HiddenLayer and Palo Alto Prisma AIRS typically starts north of $500K/yr. RedLens starts with a free assessment and a self-serve plan from $799/mo, putting it within reach of community hospitals, not just health systems with a seven-figure security budget.

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Why It Matters Now

General-purpose AI security wasn't built for healthcare

The AI security market has consolidated around general enterprise buyers. None of RedLens's closest peers were built around healthcare compliance specifically.

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Of the AI security platforms in RedLens's own comparison table (Microsoft Defender, CrowdStrike, HiddenLayer, Palo Alto Prisma AIRS, Cisco AI Defense, Lakera Guard, CalypsoAI, and Mindgard), none map findings to HIPAA. They're general enterprise platforms, not healthcare-specific ones.
1 in 4
Malicious breaches are now AI-enabled, a share that grew 56% year-over-year. They cost organizations $6M on average, about $1M more than a typical breach. Healthcare data is among the highest-value targets in every breach cost study IBM has published.
Sources: RedLens comparison table (see homepage) · IBM 2026 Cost of a Data Breach Report, with the Ponemon Institute, published July 29, 2026.
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See what an attacker would find in your clinical AI in 10 minutes

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