Private Deployment
Deploy on-prem or in a private cloud for total data isolation and control.
The Unseen Compliance Risks of ChatGPT for Regulated Industries
Public AI tools lack the governance, privacy, and auditability required in regulated sectors. Lyzr delivers a secure, compliant generative AI platform for your enterprise.
Secure Governance-First AI
Audit-Ready AI Outputs
Complete Data Sovereignty
Secure AI Operations:
Beyond ChatGPT
Regulated teams require controls generic AI tools lack. Lyzr provides robust access, full auditability, and private deployment for total compliance and security.
Access Control
Enforce least-privilege access with granular approvals and separation of duties.
Immutable Audit
Capture immutable logs for complete traceability and defensible compliance evidence.
Policy Engine
Implement automated guardrails, PII/PHI controls, and strict compliance policies.
Secure Retrieval
Enable governed RAG with source traceability and permission-aware data retrieval.
Compliance
Compliance
Empower compliance, risk, and IT teams to meet mandates like HIPAA, SOX, and GDPR using secure, auditable AI workflows.
Compliance Q&A
Interpret complex internal policies with cited sources and controlled data access.
Audit Evidence
Generate consistent, audit-ready narratives with fully logged data sources and user actions.
Regulated Ops
Support complex operational SOPs with PII redaction, approvals, and safe data retrieval.
Innovate confidently without risking violations. Build the essential trust with regulators under scrutiny.
Reduce Risk and Accelerate
Compliant Operations
Decrease Compliance Risk
Minimize your policy violations using automated guardrails and fully enforced workflows.
Accelerate Review Cycles
Achieve your faster approvals by using standardized outputs with traceable data.
Mitigate Data Exposure Risk
Protect your sensitive PII and PHI using automated redaction and private processing.
Demonstrate Accountability
Utilize immutable audit logs and clear data lineage for defensible decision trails.
An Enterprise Platform for
Regulated AI Use
Lyzr is built with core enterprise controls, including robust RBAC, audit logging, and flexible deployment options for your regulated environments.
Private Deploy
Deploy in your controlled environments to meet strict data residency requirements.
Immutable Audit Logs
Capture every query, user action, and system response as exportable evidence.
Granular RBAC & Approvals
Define user roles, entitlements, and layered approval chains for separation of duties.
Governed RAG System
Enable governed knowledge base access with complete source and user data traceability.
PII/PHI Controls
Automate redaction, data masking, and retention policies to ensure safe prompting.
How AI Platforms for
Industries Compare
| Feature | Public Chatbots | Compliance Tools | Lyzr |
|---|---|---|---|
| Data sovereignty | No control | Limited control | Full private control |
| Immutable audit logs | Not available | Basic logging | Complete and exportable |
| Role-based access | Single user only | Limited roles | Granular RBAC & approvals |
| PII/PHI guardrails | None available | Requires manual setup | Automated PII redaction |
| On-prem deployment | Public SaaS only | Varies by vendor | Private Cloud / On-Prem |
| HIPAA readiness | Not compliant | Partial support | Designed for full HIPAA |
| SOX compliance support | No support | Manual process | Automated SOX evidence |
| Policy enforcement | Not possible | Limited rules | Dynamic policy guardrails |
| Source traceability | No citations | Basic linking | Verifiable citations |
| Enterprise encryption | Vendor managed | Standard only | End-to-end encryption |
The AI Platform Built
for Scrutiny
Built for Scrutiny
Meet regulator and auditor expectations with defensible AI usage patterns.
Secure Architecture
Our architecture has end-to-end encryption and secure-by-default controls.
Designed Governance
Enforce policies, approvals, and continuous monitoring for total accountability.
Deployment Control
Deploy on-prem or private cloud; integrate with your existing enterprise IAM.
Trusted by Leading
Regulated Industries
Global leaders in finance, healthcare, and insurance trust Lyzr to deploy generative AI safely within their most critical, highly-regulated environments.
With Lyzr, we can finally leverage generative AI without worrying about data exposure. Our compliance team has a full audit trail for every action, our data stays within our private cloud, and workflows are faster. It's the control we needed that public tools like ChatGPT could never provide.
Head of Risk · Global Financial Services
Zero
Data exfiltration incidents
Deploy Governed AI in Four
Enterprise Steps
Define Policies
Establish compliance rules, data retention policies, and acceptable use.
Secure Deployment
Deploy to your on-prem or private cloud with secure network configuration.
Connect Knowledge
Connect governed RAG sources and map them to existing user permissions.
Monitor and Audit
Leverage continuous logging, conduct reviews, and test your controls.
Your Questions on Regulated
and Compliant AI, Answered
What is ChatGPT for regulated industries and why is it risky?
Public tools like ChatGPT lack controls for regulated industries. Key risks include data residency violations, no audit trails for accountability, potential PII/PHI data exposure, and an inability to enforce policies like GDPR or HIPAA, making them unsuitable for any enterprise use.
Can ChatGPT for regulated industries meet HIPAA or GDPR needs?
No, standard ChatGPT cannot meet these needs. Compliance requires specific controls over data processing, storage, and access that public, multi-tenant SaaS tools do not offer. True compliance demands private deployment, auditable logs, and strict access controls to protect data.
What's the best alternative to ChatGPT for regulated industries?
The best alternative is an enterprise AI platform like Lyzr. It provides the architectural foundation for compliance, including private deployment, RBAC, immutable audit logs, PII redaction, and policy enforcement, letting you innovate safely within regulatory boundaries.
How does an audit trail for AI usage work?
A comprehensive audit trail logs every user query, system response, data source accessed, and admin action. These logs are immutable and exportable, providing a verifiable record for regulators and internal auditors to review and confirm compliant usage of the AI system.
Can we deploy in an on-prem or private cloud environment?
Yes, Lyzr is designed specifically for on-prem and private cloud deployment. This ensures that all your data and AI processing remain within your secure, controlled network perimeter, satisfying data sovereignty and residency requirements for regulated industries.
How does role-based access control reduce compliance risk?
RBAC ensures users only access data and AI capabilities appropriate for their roles, enforcing least privilege. This prevents unauthorized data exposure, supports separation of duties, and provides auditors with clear, definitive evidence of your strong access governance.
How do you prevent PII/PHI exposure in prompts and outputs?
Our platform includes automated PII/PHI redaction and masking guardrails. It scans user prompts and AI-generated outputs in real-time to identify and remove sensitive data before it is processed or displayed, which prevents accidental data leakage and ensures privacy.
How do you support FINRA and SOX documentation requirements?
Lyzr supports these requirements with immutable audit trails and source traceability. All AI-assisted documentation can be traced back to the source data used, and every action is logged, creating a defensible and verifiable record suitable for regulatory submissions.
Can the system restrict answers to approved internal documents?
Absolutely. Our secure RAG capability allows you to ground all AI responses in your own curated and permissioned knowledge bases. This prevents the AI from using unverified public information and ensures all answers are accurate and compliant with your internal policies.
What does implementation look like for regulated IT leaders?
Implementation is a structured process. It begins with defining compliance policies, followed by a secure deployment into your private environment, connecting to your governed data sources, and establishing continuous monitoring and auditing protocols with our team's support.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.