Use Cases

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).

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Enterprise-Wide Protection

No App Changes

Govern 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

Without Notis
  • โœ•IT can't see which apps, agents, or scripts are calling AI providers
  • โœ•Shadow AI spreads across engineering, support, and analytics โ€” unmanaged
  • โœ•Each team rolls its own controls, or none at all
  • โœ•No 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.
With Notis
  • โœ“Internal DNS routes traffic for your AI endpoints through Notis
  • โœ“Apps, developers, and agents covered transparently โ€” no SDK, no per-app code changes
  • โœ“One CA, pushed through the MDM you already run, establishes trust org-wide
  • โœ“Centralized 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.

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Financial Services

GLBA / SOX

Account numbers, balances, and customer financial records flowing to AI providers

Risk: GLBA, SOX, PCI, and FINRA obligations apply to every AI call

Without Notis
  • โœ•Account numbers, balances, and SSNs sent to LLMs in plaintext
  • โœ•Advisory and trading prompts leak client identities and positions
  • โœ•No examiner-ready record of what customer data left the firm
  • โœ•Providers 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"
With Notis
  • โœ“Account numbers and SSNs tokenized โ€” format-preserving and reversible by you
  • โœ“The model sees realistic surrogates; real values never leave your boundary
  • โœ“Detokenize on the response so downstream systems get the true value back
  • โœ“Every 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.

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Consumer Data & Privacy

GDPR / CCPA

Names, emails, addresses, and SSNs flowing to AI across support, marketing, and product

Risk: GDPR penalties reach 4% of global annual revenue

Without Notis
  • โœ•Customer PII pasted into prompts across support, sales, and analytics
  • โœ•No record of which personal data went to which provider
  • โœ•Deletion and data-subject requests can't cover what you can't see
  • โœ•Cross-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"
With Notis
  • โœ“PII detected and acted on before it reaches the model
  • โœ“Per-field policy: redact emails, tokenize SSNs, monitor names
  • โœ“Every personal-data flow logged for DSAR and audit evidence
  • โœ“Consistent 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.

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Healthcare AI Assistants

HIPAA

Patient records, clinical notes, and PHI flowing to AI providers

Risk: $1.5M+ per HIPAA violation

Without Notis
  • โœ•Patient SSN, MRN, DOB sent in plaintext to Claude/GPT
  • โœ•Medications, diagnosis codes, and provider notes exposed
  • โœ•No audit trail proving HIPAA data flow controls
  • โœ•Auditor 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"
With Notis
  • โœ“SSN, MRN, DOB, ICD codes automatically redacted
  • โœ“Claude still produces useful clinical summary
  • โœ“Full OTEL audit trail with policy version and findings
  • โœ“Auditor 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 โ†’
๐Ÿ›ก๏ธ

Government & Defense

CMMC / CUI

CUI, mission data, and export-controlled information reaching commercial AI providers

Risk: ITAR/EAR violations carry criminal penalties; CUI spillage is reportable

Without Notis
  • โœ•CUI and controlled technical data sent to commercial LLMs
  • โœ•ITAR/EAR-controlled details leave the authorization boundary
  • โœ•No boundary-level record of what crossed to which provider
  • โœ•Staff 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"
With Notis
  • โœ“Controlled markings and data detected and blocked at the boundary
  • โœ“Block, redact, or monitor per policy โ€” controlled data never leaves raw
  • โœ“Boundary-level audit trail built for incident reporting and assessment
  • โœ“Runs 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.

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Production AI Workloads

PCI-DSS

RAG pipelines, AI agents, and customer-facing features calling LLM APIs at scale

Risk: $4.88M average cost of a data breach

Without Notis
  • โœ•Customer support AI sends full customer records to GPT
  • โœ•Financial analysis agents include account numbers in prompts
  • โœ•RAG pipelines embed PII from vector databases into queries
  • โœ•Thousands 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"
With Notis
  • โœ“Inline gateway inspects every request at sub-millisecond speed
  • โœ“SSE streaming preserved โ€” no buffering, no latency impact
  • โœ“Per-workload policies and rate limiting
  • โœ“Every 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.

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Developer AI Tools

IP Protection

Claude Code and Codex sending source code and secrets to AI providers

Risk: API keys, credentials, and source code exposed

Without Notis
  • โœ•Developers paste database credentials into AI prompts
  • โœ•Source code with hardcoded API keys sent to external models
  • โœ•Internal architecture and trade secrets in code context
  • โœ•Security 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..."
With Notis
  • โœ“Desktop app intercepts all AI tool traffic transparently
  • โœ“Credentials and API keys redacted before reaching provider
  • โœ“Developer experience unchanged โ€” zero friction
  • โœ“Security 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.

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