What is InspectGPT?
InspectGPT is a private, enterprise-grade conversational AI that is trained on your organization's own data. Unlike general-purpose public AI services, InspectGPT stays entirely within your infrastructure giving employees accurate, context-aware AI assistance without exposing sensitive information to external systems.
It is purpose-built for enterprise SOC environments, with multi-layered guardrails that monitor and control both incoming queries and outgoing responses. Security teams retain full visibility and control over how the model is used across the organization.
InspectGPT keeps your data entirely within your own environment. It is never transmitted to or processed by external AI infrastructure.
Threats InspectGPT Addresses
Deploying AI without proper safeguards introduces several risks to enterprise data security. InspectGPT's guardrail system is designed to detect and prevent the following threats in real time:
Data Leakage
Prevents sensitive organizational data from being inadvertently surfaced in AI responses to unauthorized users.
Data Oversharing
Ensures that only relevant, permission-appropriate content is included in AI-generated responses.
Retrieval Manipulation
Detects adversarial attempts to manipulate or poison the model's knowledge base to produce misleading outputs.
Weak Access Control
Enforces role-based access so the model only responds with information each user is authorized to receive.
How It Works
1
Train on Your Data
InspectGPT is fine-tuned using your organization's private documents, policies, and domain-specific knowledge all processed within your own infrastructure.
2
User Submits a Query
Employees interact with InspectGPT through a simple chat interface. Every query is routed through the ingress guardrail layer before it reaches the model.
3
Ingress Guardrails Applied
The query is scanned for policy violations, prompt injection attempts, and sensitive data before processing. Non-compliant queries are blocked or flagged.
4
Model Generates a Response
InspectGPT generates a response based solely on your organization's approved knowledge with no reliance on external AI services.
5
Egress Guardrails Applied
The response passes through a second guardrail layer before delivery, ensuring no sensitive or unauthorized content is returned to the user.
Core Features
Private Model Training
Fine-tune the AI on your organization's own documents and data improving accuracy and relevance without sharing data externally.
Multi-Layer Guardrails
Separate guardrail checks on both incoming queries (ingress) and outgoing responses (egress) for comprehensive threat coverage.
Data Sovereignty
All data remains within your infrastructure. No queries, responses, or training data are transmitted to external services.
Role-Based Responses
The model respects user roles and permissions ensuring responses are scoped to what each user is authorized to know.
Team Collaboration
Enhances productivity across internal teams by providing instant, AI-assisted access to organizational knowledge and documentation.
Full Audit Logging
Every interaction is logged including guardrail decisions providing a complete audit trail for security and compliance reviews.
Flexible Deployment
Deploy fully on-premises or in a private cloud environment. Supports both Windows and Linux operating systems.
Compliance Ready
Designed with data privacy and AI governance requirements in mind supporting adherence to enterprise security and regulatory policies.
Compliance & Standards
InspectGPT is built to help enterprises adopt AI responsibly, maintaining compliance with data protection and AI governance frameworks while enabling productivity.
EU AI Act
ISO 42001
GDPR
SOC 2
HIPAA Ready
NIST AI RMF
The guardrail logs, audit trails, and permission enforcement records generated by InspectGPT can serve as supporting documentation in compliance assessments and internal security reviews.
