See what Notis protects
Real scenarios. Real risks. One solution that works across every AI surface in your organization.
Provider-agnostic by design โ works with OpenAI, Anthropic, Azure OpenAI, Google Gemini, and any OpenAI-compatible endpoint (Perplexity, Groq, DeepSeek, xAI, Together, OpenRouter, and more).
Enterprise-Wide Protection
No App ChangesGovern AI traffic across the whole organization โ no SDK, no per-app changes
Risk: Only 5% of organizations report full visibility into their AI usage ยท Check Point, 2026 Cloud Security Report
- โIT can't see which apps, agents, or scripts are calling AI providers
- โShadow AI spreads across engineering, support, and analytics โ unmanaged
- โEach team rolls its own controls, or none at all
- โNo central policy, no unified audit trail โ every call is a blind spot
# IT security's view of AI egress: $ dig api.anthropic.com โ 160.79.104.10 (external, direct) # Which app sent it? What was in the payload? # No record. No policy. No way to know.
- โInternal DNS routes traffic for your AI endpoints through Notis
- โApps, developers, and agents covered transparently โ no SDK, no per-app code changes
- โOne CA, pushed through the MDM you already run, establishes trust org-wide
- โCentralized dashboard maps every AI data flow across the org
# 1. Route AI endpoints to the gateway (split-horizon DNS): api.anthropic.com โ notis-gateway.internal api.openai.com โ notis-gateway.internal # 2. Trust the Notis CA via existing device management: $ mdm push notis-root-ca.pem โ all managed clients # Every AI call from a managed client now flows # through policy โ no application changes required.
Deploy: Route your AI endpoints with DNS, then push the Notis CA through your existing MDM. Managed clients are covered automatically โ no SDK, no per-app config.
The dashboard shows all traffic routed through Notis; pair with your egress monitoring to surface any direct-to-provider connections that bypass it.
Financial Services
GLBA / SOXAccount numbers, balances, and customer financial records flowing to AI providers
Risk: GLBA, SOX, PCI, and FINRA obligations apply to every AI call
- โAccount numbers, balances, and SSNs sent to LLMs in plaintext
- โAdvisory and trading prompts leak client identities and positions
- โNo examiner-ready record of what customer data left the firm
- โProviders may retain regulated financial data for training
# Wealth-advisory assistant: POST api.openai.com/v1/chat/completions "Summarize this client's portfolio: Client: Margaret Chen SSN: 425-73-8291 Account: 8847-201-93 Balance: $2,480,019 Cash: $312,400"
- โAccount numbers and SSNs tokenized โ format-preserving and reversible by you
- โThe model sees realistic surrogates; real values never leave your boundary
- โDetokenize on the response so downstream systems get the true value back
- โEvery regulated field, who touched it, and the action โ in an exam-ready audit trail
# What the provider actually receives: POST gateway.notis.cloud/v1/chat/completions "Summarize this client's portfolio: Client: Margaret Chen SSN: 900-71-4412 โ reversible surrogate Account: 4021-887-55 โ reversible surrogate Balance: $2,480,019 Cash: $312,400"
Deploy: Tokenize regulated fields on the way out and detokenize on the way back โ your systems keep working, the provider never sees a real account or SSN.
Consumer Data & Privacy
GDPR / CCPANames, emails, addresses, and SSNs flowing to AI across support, marketing, and product
Risk: GDPR penalties reach 4% of global annual revenue
- โCustomer PII pasted into prompts across support, sales, and analytics
- โNo record of which personal data went to which provider
- โDeletion and data-subject requests can't cover what you can't see
- โCross-border AI calls move PII outside its allowed region
# Support copilot drafting a reply: POST api.anthropic.com/v1/messages "Draft a refund email to: Sarah Okafor sarah.okafor@gmail.com 4821 Pinecrest Ave, Austin TX SSN on file: 425-73-8291"
- โPII detected and acted on before it reaches the model
- โPer-field policy: redact emails, tokenize SSNs, monitor names
- โEvery personal-data flow logged for DSAR and audit evidence
- โConsistent enforcement across every app and team โ no SDK
# What the model actually receives: POST gateway.notis.cloud/v1/messages "Draft a refund email to: Sarah Okafor [EMAIL_1] [ADDRESS_1] SSN on file: [SSN_1]"
Deploy: Detect and act on PII at the gateway โ redact, tokenize, or monitor per field โ so personal data is governed the moment it leaves.
Healthcare AI Assistants
HIPAAPatient records, clinical notes, and PHI flowing to AI providers
Risk: $1.5M+ per HIPAA violation
- โPatient SSN, MRN, DOB sent in plaintext to Claude/GPT
- โMedications, diagnosis codes, and provider notes exposed
- โNo audit trail proving HIPAA data flow controls
- โAuditor asks 'what PHI left through AI?' โ no answer
POST api.anthropic.com/v1/messages "Summarize patient record: Patient: John Smith SSN: 425-73-8291 MRN: 847-293-001 Dx: Type 2 Diabetes (ICD-10: E11.9) Rx: Metformin 1000mg BID"
- โSSN, MRN, DOB, ICD codes automatically redacted
- โClaude still produces useful clinical summary
- โFull OTEL audit trail with policy version and findings
- โAuditor gets: 'Here are our AI data flow controls and logs'
POST gateway.notis.cloud/v1/messages "Summarize patient record: Patient: John Smith SSN: [SSN_REDACTED] MRN: [MRN_REDACTED] Dx: Type 2 Diabetes ([ICD_CODE REDACTED]) Rx: Metformin 1000mg BID"
Deploy: Change one URL or add one DNS record. Try it live โ
Try live demo โGovernment & Defense
CMMC / CUICUI, mission data, and export-controlled information reaching commercial AI providers
Risk: ITAR/EAR violations carry criminal penalties; CUI spillage is reportable
- โCUI and controlled technical data sent to commercial LLMs
- โITAR/EAR-controlled details leave the authorization boundary
- โNo boundary-level record of what crossed to which provider
- โStaff and contractor shadow AI evades policy entirely
# Analyst summarizing a controlled doc: POST api.openai.com/v1/chat/completions "Summarize this report: // CUI//SP-CTI Program: Sentinel UAV avionics Export control: ITAR USML Cat. XV Coordinates: 34.7ยฐN, 117.9ยฐW"
- โControlled markings and data detected and blocked at the boundary
- โBlock, redact, or monitor per policy โ controlled data never leaves raw
- โBoundary-level audit trail built for incident reporting and assessment
- โRuns as a dedicated, single-tenant gateway
# Notis blocks the egress: POST gateway.notis.cloud/v1/chat/completions โ 403 BLOCKED policy: controlled-data-egress finding: CUI marking + ITAR reference logged: trace gov-4471, analyst id, full payload result: request never reached the provider
Deploy: Enforce controlled-data policy at the egress boundary โ block or redact before anything reaches a commercial provider โ with an audit trail built for assessment.
Air-gapped and on-prem deployment for classified environments is on the roadmap; today the gateway runs as a dedicated single-tenant instance.
Production AI Workloads
PCI-DSSRAG pipelines, AI agents, and customer-facing features calling LLM APIs at scale
Risk: $4.88M average cost of a data breach
- โCustomer support AI sends full customer records to GPT
- โFinancial analysis agents include account numbers in prompts
- โRAG pipelines embed PII from vector databases into queries
- โThousands of API calls per hour with zero inspection
# Customer support agent: POST api.openai.com/v1/chat/completions "Help customer with billing: Name: Jane Doe Email: jane@acme.com Card: 4532-0151-1283-0366 Account: 9928374"
- โInline gateway inspects every request at sub-millisecond speed
- โSSE streaming preserved โ no buffering, no latency impact
- โPer-workload policies and rate limiting
- โEvery request logged with trace ID, findings, and actions
# What GPT actually receives: POST gateway.notis.cloud/v1/chat/completions "Help customer with billing: Name: Jane Doe Email: [EMAIL_REDACTED] Card: [CARD_REDACTED] Account: [REDACTED]"
Deploy: Point your provider base URL โ OpenAI, Anthropic, Azure, or any OpenAI-compatible API โ to Notis. Same SDK, same format, same response.
Developer AI Tools
IP ProtectionClaude Code and Codex sending source code and secrets to AI providers
Risk: API keys, credentials, and source code exposed
- โDevelopers paste database credentials into AI prompts
- โSource code with hardcoded API keys sent to external models
- โInternal architecture and trade secrets in code context
- โSecurity team has zero visibility into developer AI usage
# Developer asks Claude Code for help: "Fix this config: DB_PASSWORD=super_secret_prod_123 STRIPE_KEY=sk_live_abc123def456 AWS_SECRET=AKIA..."
- โDesktop app intercepts all AI tool traffic transparently
- โCredentials and API keys redacted before reaching provider
- โDeveloper experience unchanged โ zero friction
- โSecurity team sees every request in the audit log
# What Claude Code actually receives: "Fix this config: DB_PASSWORD=[ENV_SECRET REDACTED] STRIPE_KEY=[ENV_SECRET REDACTED] AWS_SECRET=[ENV_SECRET REDACTED]"
Deploy: Install desktop app. Click the shield. Every developer is protected.
Nothing leaves without Notis.
AI data protection for healthcare, finance, government, and enterprise. Deploy in minutes.