Deployment Scenarios
How regulated enterprises will deploy PRYZM to solve their most critical AI governance challenges
Note
The scenarios below represent the deployment patterns PRYZM is engineered to support, based on our architecture validation and security testing. We are transparent that PRYZM is pre-revenue and currently raising our seed round. These scenarios reflect real enterprise pain points we've validated through direct conversations with compliance leaders at banks, asset managers, and healthcare systems.
Target Deployment Scenarios
BSA/AML Compliance Automation
Regional banks spend $15-40M annually on BSA/AML compliance with 95%+ false positive rates on transaction monitoring. PRYZM's KYC Agent processes customer due diligence inside hardware-isolated enclaves, generating cryptographically signed Evidence Packs that auditors can independently verify.
The Problem We Solve
Banks cannot use cloud AI for customer data—OCC and Fed examiners require full audit trails
The April 2025 OCC breach made CISOs even more cautious about electronic information sharing
PRYZM processes data inside AWS Nitro Enclaves with hardware attestation—no data ever leaves the enclave
Clinical Documentation with Zero PHI Exposure
Academic medical centers lose 2+ hours per physician per day to documentation. AI can recover that time—but HIPAA means PHI cannot touch external AI systems. PRYZM runs clinical documentation agents inside sovereign infrastructure where patient data is cryptographically isolated.
The Problem We Solve
PHI cannot be processed by cloud AI vendors under standard BAAs—the liability exposure is too great
On-prem AI deployments require dedicated ML engineering teams that health systems don't have
PRYZM gives you cloud-managed AI with on-prem-caliber privacy—Evidence Packs prove PHI never left the enclave
Additional Use Cases
Proprietary Model Protection
Quantitative funds need AI for research acceleration but cannot risk proprietary trading signals being exposed through cloud inference APIs. PRYZM's architecture prevents model fingerprinting and data exfiltration at the hardware level.
Key concern: IP protection during AI inference
Privileged Document Review
Law firms handling M&A deal rooms and litigation need AI for document review but face attorney-client privilege concerns. PRYZM processes documents in isolated enclaves with cryptographic proof of non-disclosure.
Key concern: Privilege preservation + audit trail
Data Sovereignty Compliance
Government agencies need AI capabilities but face strict data residency requirements and jurisdictional control mandates. PRYZM provides cryptographic proof that data processing occurred within approved boundaries.
Key concern: Jurisdictional data control + provability
Does This Describe Your Organization?
If your compliance team has blocked an AI deployment, or your security team can't approve a cloud AI vendor, we should talk. PRYZM was built specifically for this conversation.