Financial investigations demand mathematical certainty and uncompromising confidentiality. PayTrace AI is architected from the bare metal up to isolate tenant environments, cryptographically verify audit trails, enforce dual-control human governance, and ensure customer financial telemetry is never used for foundation model training.
How our architecture defends enterprise ledgers, banking switches, and dispute workflows against data leakage and tampering.
Logical and physical tenant partitioning with dedicated cryptographic envelope keys. No cross-tenant query execution is mathematically possible within our graph nodes.
Customer telemetry, ERP vouchers, and bank feeds are processed ephemerally in isolated execution sandboxes. Data is never cached to fine-tune or train LLM weights.
Every reasoning step, OCR extraction, hypothesis probability, and ledger reconciliation is hashed into an append-only cryptographic ledger with Merkle verification.
Autonomous agents diagnose root causes and prepare balancing entries, but zero fund movement occurs without multi-party, cryptographically signed human authorization.
Role-based access control with SCIM provisioning, SAML 2.0 / OIDC federation, and mandatory FIDO2 / WebAuthn hardware token enforcement for all investigative operators.
Real-time in-stream tokenization of PANs, card numbers, Aadhaar/SSN, and customer identifiers before data enters multi-agent reasoning workers.
How PayTrace ensures zero possibility of cross-tenant data contamination or side-channel leakage across databases and memory pools.
Every enterprise tenant is assigned an independent Customer Master Key (CMK) provisioned inside dedicated Hardware Security Modules (FIPS 140-2 Level 3). Data Encryption Keys (DEKs) are rotated dynamically for every investigation session and encrypted under the tenant CMK.
Financial graph nodes, transaction indexes, and OCR document embeddings are partitioned by cryptographic tenant namespace. Multi-tenant database layers enforce Row-Level Security (RLS) and schema-level separation at the database engine kernel.
Agent execution pods run in lightweight, ephemeral MicroVMs. Once an investigation case reaches final synthesis, working memory is zeroized via cryptographic wiping techniques.
[ INCOMING ERP / BANK FEED ]
│
▼
[ TLS 1.3 mTLS INGEST GATEWAY ]
│
▼ (Tenant ID Header: tenant_corp_hdfc_01)
┌─────────────────────────────────────────────────────────┐
│ TENANT-SCOPED KMS ENVELOPE ENGINE │
│ ├─ CMK: arn:aws:kms:ap-south-1:tenant_corp_hdfc_01 │
│ ├─ DEK: Generated per Investigation Session │
│ └─ Cipher: AES-256-GCM with Authenticated Tag │
└─────────────────────────────────────────────────────────┘
│
┌─────┴─────────────────────────┐
▼ ▼
┌──────────────┐ ┌──────────────┐
│ EPHEMERAL │ │ ENCRYPTED │
│ AGENT VM │ │ GRAPH SHARD │
│ (Zeroized on │ │ (RLS Scoped │
│ Completion) │ │ Partition) │
└──────────────┘ └──────────────┘
Strict cryptographic standards applied across all ingestion pipelines, internal RPCs, and persistence tiers.
When an AI agent formulates a hypothesis or recommends an ERP reconciliation action, how do you mathematically prove the reasoning was unaltered?
Raw logs, OCR bounding coordinates, agent reasoning tokens, and user inputs are serialized into deterministic JSON and hashed via SHA-256.
Each audit log entry incorporates the hash of the preceding event (`prev_block_hash`), creating an unbreakable cryptographic chain that prevents retroactive tampering.
Enterprise compliance officers can export the full cryptographic proof receipt (`audit_receipt.json`) and independently verify mathematical integrity with standard CLI tools.
{
"audit_entry_id": "AUD-LOG-99201",
"case_ref": "PT-92881",
"actor": "AGENT::LedgerReconciler [Model: PT-FinReason-Large]",
"event_type": "HYPOTHESIS_VERIFIED",
"timestamp_utc": "2026-09-27T17:44:14.219Z",
"prev_block_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"payload_canonical_hash": "a4f89102bc6e91f1a488e9102ca93b8214fa89110029efb7189a02bc6e91f1a4",
"chain_integrity_status": "VERIFIED_VALID"
}
Every team member operates under strict privilege boundaries. No user can view raw payment payloads without explicit investigative entitlement.
| ROLE / TIER | READ CASES & GRAPHS | VIEW UNMASKED PII | EXECUTE INVESTIGATION | APPROVE SETTLEMENT RELEASE | MANAGE KMS KEYS & SSO |
|---|---|---|---|---|---|
| Financial Investigator | ALLOWED | MASKED ONLY | ALLOWED | PROHIBITED | PROHIBITED |
| Finance Controller / Lead | ALLOWED | REQUIRES APPROVAL | ALLOWED | DUAL APPROVER 1 | PROHIBITED |
| Risk & Compliance Officer | ALLOWED | FULL ACCESS (AUDIT) | ALLOWED | DUAL APPROVER 2 | PROHIBITED |
| External Auditor (Read-Only) | READ ONLY | PROHIBITED | PROHIBITED | PROHIBITED | PROHIBITED |
| Security & Tenant Admin | NO DATA ACCESS | NO DATA ACCESS | NO DATA ACCESS | PROHIBITED | FULL CONFIG |
Autonomous AI reasoning powers diagnosis. Human executives retain total sovereign authority over fund movements and ERP ledger adjustments.
In mission-critical enterprise finance, AI hallucination or runaway automation is catastrophic. PayTrace AI implements a strict four-eyes verification policy on all active remediation workflows:
PayTrace AI pinpoints the root cause and constructs the exact idempotency-keyed API call to release held escrow or balance ERP ledger.
The lead finance controller inspects the supporting evidence trail and provides primary cryptographic authorization via hardware token.
A secondary independent risk or treasury officer confirms the contradiction resolution before the system releases funds to banking switches.
"We believe artificial intelligence should bring superhuman analytical speed to financial investigations, while human operators maintain strict, auditable governance over final disbursement decisions."
Your bank statements, ERP invoices, and ledger records are your intellectual and financial property. We do not use them to train any public or shared AI models.
No customer telemetry, transaction metadata, or OCR document text is retained in training datasets for foundation models or generalized embeddings.
Retrieval-Augmented Generation (RAG) indices are encrypted with tenant KMS keys and hosted in private, single-tenant vector partitions inaccessible to external systems.
Upon case resolution and client audit archiving, intermediate agent memory caches and document OCR buffers are zeroed out per DoD 5220.22-M wiping standards.
How raw payment streams are scrubbed before reaching reasoning agents and analytical graphs.
Before payment switch logs, invoice PDFs, or dispute emails are parsed by multi-agent workers, they traverse an automated sanitization proxy. This proxy identifies, tokenizes, and redacts sensitive consumer and banking data in under 2 milliseconds:
// BEFORE SANITIZATION (RAW BANK SWITCH LOG)
{
"card_number": "4111928301929012",
"account_holder": "Ramesh Kumar Sharma",
"pan_number": "ABCDE1234F",
"phone": "+91 98101 23456"
}
// AFTER SANITIZATION (INGESTED BY AGENT REASONER)
{
"card_number": "4111-XXXX-XXXX-9012",
"account_holder": "R****h K***r S****a [SURROGATE_ID_9918]",
"pan_number": "[REDACTED_NATIONAL_TAX_ID]",
"phone": "[REDACTED_PHONE_E164]"
}
Enterprise financial data is never routed over the public unencrypted Internet when connecting to client ERP or core banking systems.
Direct VPC-to-VPC private endpoint connections. Traffic between your cloud infrastructure and PayTrace remains completely within private cloud backbones.
All database clusters, Redis caches, and message queues operate in isolated private subnets with no public IP allocation and zero direct internet routability.
Intelligent Web Application Firewall with automated OWASP Top 10 rule enforcement, anomaly-based DDoS suppression, and token bucket rate limiters.
Proactive security monitoring and structured response timelines for high-severity security events.
*Includes emergency automated kill-switch protocol to sever ERP/Gateway connectors within 300ms if anomalous traffic signatures are detected.
We believe in absolute transparency. We do not display fabricated certification badges or make false regulatory claims. Here is our exact engineering design adherence:
Platform architecture is designed strictly in accordance with AICPA Trust Services Criteria across Security, Availability, and Confidentiality control baselines.
Information Security Management System designed around Annex A security controls, asset classification, and continuous risk assessment matrices.
Full support for in-region data residency, data localization within Indian and European cloud zones, and cryptographic right-to-erasure endpoints.
LEGAL & COMPLIANCE NOTICE: RadLabs Technologies Private Limited designs all PayTrace AI systems to meet or exceed global banking and financial data protection regulations. We maintain rigorous internal control records and make architectural audit artifacts available to enterprise compliance teams under mutual NDA.
For security audits, custom KMS integration reviews, penetration test reports, or to report a vulnerability to our engineering leads, reach out directly: