Enterprise AI Data Egress Protection
Inline inspection and policy enforcement for outbound LLM API traffic in production environments.
Single control point. Multi-layer detection. Audit-ready logs.
Your AI Calls Are Leaving the Building
Every day, sensitive enterprise data flows to external AI models without visibility, control, or audit trails.
Current State: Uncontrolled
No visibility. No policy enforcement. No audit trail.
Direct LLM Integration
Developers are integrating GPT/Claude/Gemini directly into applications without centralized oversight.
Sensitive Data Exposure
PII, PHI, financial data, and proprietary information is being sent to external AI providers.
Zero Centralized Visibility
No single view of what data is flowing to which AI models across the organization.
Compliance Blind Spots
Compliance teams can't answer auditors' questions about AI data handling and controls.
DIY Redaction Failures
Homegrown redaction solutions are inconsistent, incomplete, and prone to bypass.
A Control Plane for Production AI Traffic
Centralized enforcement for all production AI traffic. A dedicated control plane between your workloads and external LLM APIs.
Controlled State: Notis
A purpose-built control plane for the AI era.
How It Works
Four stages of inspection and enforcement. Built for production workloads with minimal overhead.
Four-Stage Enforcement Pipeline
Every outbound LLM request is inspected, evaluated, and logged before it leaves your network.
Traffic Interception
All LLM requests route through Notis via transparent proxy or SDK integration. Zero code changes required for proxy mode.
- Transparent network proxy
- SDK integration option
- Drop-in API replacement
Multi-Layer Detection
Real-time scanning using pattern detection, context-aware classification, and custom policy rules.
- PII/PHI/secrets patterns
- Context-aware classification
- Custom rule definitions
Policy Enforcement
Apply configurable actions based on detection results and policy rules. Different rules for different environments.
- Block sensitive requests
- Redact detected patterns
- Allow with audit trail
Logging & Reporting
Every request logged with full context. Structured audit records ready for compliance review.
- Immutable audit logs
- Exposure analytics
- Compliance export reports
Technical Clarity
Deployment Model
Runs in your environment (Kubernetes, VPC, or on-prem) as a customer-hosted reverse proxy. No raw data leaves your boundary unless policy allows.
TLS Handling
Acts as a forward proxy with TLS inspection. Establishes separate encrypted connections to upstream providers. Your data stays encrypted in transit.
Agent Installation
No agent required in proxy mode. Configure via environment variables or DNS. SDK integration available for deeper control if needed.
Application Compatibility
Works with any application making outbound API calls to LLM providers. Transparent to the application layer.
Data Retention
By default, only structured metadata and hashes are retained. Raw prompt retention is optional and typically disabled in production.
Failure Modes
Configurable fail-open or fail-closed behavior. Supports standard Kubernetes HA patterns with multiple replicas for production resilience.
Built for the AI Era — Not Retrofitted
Purpose-built for AI data protection from day one. Not bolted onto legacy DLP.
Policy-as-Code
Security teams define rules in YAML. Version-controlled. Environment-aware enforcement at runtime.
- YAML policy definitions
- Git version control
- Environment-specific rules
- Runtime enforcement
Deterministic First
Not just prompt filtering. Pattern-based detection with predictable behavior. Minimal overhead.
- Pattern-based detection
- Predictable behavior
- Production-safe latency
- Token-efficient
Compliance Memory Layer
Historical exposure tracking. Auditor-ready reports. Know exactly what happened, when, and why.
- Historical tracking
- Auditor-ready reports
- SIEM integration
- Full audit trail
AI-Native APIs
OpenAPI specs. Agent-callable endpoints. Ready for tool integration. Build AI workflows that are secure by design.
- OpenAPI specifications
- Agent-callable endpoints
- Tool integration ready
- Programmatic access
Enterprise-Grade Protection
Concrete, specific protection for regulated industries and sensitive workloads.
Protect PHI in Healthcare AI Workflows
Ensure patient health information never reaches external AI providers. Automatic detection and redaction of PHI in clinical AI applications.
Secure Financial Data in AI Copilots
Protect account numbers, transaction data, and financial PII from exposure through AI assistant integrations.
Prevent Source Code Leakage
Stop proprietary code and secrets from being transmitted to external AI coding assistants. Protect your IP.
Protect Tax & Legal Documents
Safeguard client data, case information, and tax records when using AI for document analysis and research.
Control Internal AI Assistant Data
Govern what data flows through internal AI assistants and chatbots. Policy enforcement at scale.
Integration & Deployment
Notis delivers a unified enterprise control plane for AI traffic — designed for safe, compliant, and centralized governance.
Deploy as a gateway within your existing infrastructure. No application code changes required.
Deployable Where You Run
Runs as a containerized proxy that centralizes LLM traffic through a policy and audit layer within your infrastructure.
Container-First Architecture
Supported deployment modes include Docker containers and Kubernetes clusters, fitting into existing DevOps workflows.
Private Infrastructure Control
Runs fully inside your cloud or on-premises environment — your data and traffic remain within your control boundary.
Extensible Platform Foundation
Architected to support future extensions such as SDK integrations, transparent proxy modes, and deeper deployment automation.
Compliance & Governance
Produce trusted audit trails that integrate with SIEMs and support compliance frameworks.
SOC 2
Provide evidentiary logs for every prompt and response to support audit, regulatory review, and internal governance. Immutable records include timestamps, user context, and policy decisions.
- Immutable event logs
- Access controls
- Encryption at rest
HIPAA
Detect and enforce policy on PHI before it reaches external AI models. Automatic redaction ensures sensitive patient data never leaves your network boundary without authorization.
- Real-time PHI detection
- Inline redaction
- BAA-ready architecture
GDPR
Enforce data minimization by detecting PII in outbound AI requests. Audit trail shows exactly what personal data was processed, when, and by whom — critical for GDPR Article 30 compliance.
- PII pattern detection
- Data minimization enforcement
- Right-to-audit exports
PCI DSS
Prevent credit card data and payment details from leaking to third-party AI providers. Inline detection and blocking before transmission reduces scope and compliance burden.
- Card pattern detection
- Pre-transmission blocking
- Cardholder data logs
Enterprise Governance Features
Incident Reporting
Automatic incident logs when sensitive data is detected. Timeline reconstruction for investigations.
Exportable Audit Reports
One-click compliance reports for auditors. Export in PDF, CSV, or JSON formats.
Policy Versioning
Full history of policy changes. Know exactly what rules were active at any point in time.
Role-Based Access
Granular permissions for security teams, developers, and auditors.
Your Security is Our Priority
Your Infrastructure
Data never leaves your VPC or private cloud
No Model Training
We never train on your data
BAA Available
For healthcare customers
Design Partner Program
Built alongside security leaders from healthcare, finance, and enterprise organizations. The product reflects real-world requirements from teams managing sensitive data and compliance obligations.
Interested in shaping Notis with your real-world requirements?
Enterprise pricing based on request volume and deployment model.
Contact us for a custom quote tailored to your organization.
Technical Overview
Built for engineering teams. Flexible policies, structured logs, and clean APIs.
Policy-as-Code
Define detection rules and enforcement policies in YAML. Version control with Git.
Structured Audit Logs
Every request logged with metadata, detection results, and policy actions. SIEM-ready exports.
REST API
OpenAPI specification available. Query events, update policies, integrate with your tooling.
Low Overhead
Designed for production workloads. No perceptible impact on request latency.
Full documentation, API references, and sample policies available during evaluation.
Frequently Asked Questions
Quick answers for security and engineering leaders.
As AI adoption accelerates, the risk isn't using AI — it's using it without control.
Notis controls what data leaves your boundary through external LLM APIs.
Ready to take control?
See Notis in action. Get a personalized demo and learn how we can help you achieve compliance-ready AI operations.
Questions about architecture or integration?