Security

Your data doesn't reach AI
unprotected. Ever.

CophyAI was designed for regulated industries where data security isn't a checkbox — it's the reason deals get approved or killed. Here's exactly how we handle it.

Our Approach

We built security in at the architecture level.
Not as a feature you turn on.

Every enterprise AI platform will tell you they take security seriously. We'd rather show you the specifics.

CophyAI processes sensitive data — PII, financial records, call recordings, borrower documents, customer communications. We operate in industries where a single data incident creates regulatory exposure, litigation risk, and reputational damage.

Our approach: assume the data is sensitive, protect it before it moves anywhere, and give you full control over what gets stored, processed, and retained.

Security layers

PII & PCI Obfuscation

CophyAI runs every input through an obfuscation layer powered by Presidio NLP — the same Microsoft-developed entity detection framework used in financial services and healthcare.

Entity TypeReplacement
Social Security Numbers[RANDOM_SSN]
Bank account numbers[RANDOM_ACCOUNT]
Person namesFictional character name
Phone numbers[RANDOM_PHONE]
  • Custom regex rules for organization-specific identifiers
  • Fictional name pool preserves transcript structure without exposing real identities
  • Name pool is client-configurable

Data Storage Controls

CophyAI does not store data by default beyond what's required to run your configured workflows. Every data retention decision is explicit and client-controlled.

You control:

  • Which input fields are retained after processing
  • Which output fields are stored vs. returned and discarded
  • Retention periods per data type
  • Whether raw inputs are stored or discarded after processing
  • What appears in audit logs vs. what is excluded

We don't:

  • Use your data to train models
  • Aggregate data across tenants
  • Retain data beyond your configured retention policies

Tenant Isolation

Complete data separation. No exceptions. CophyAI is a multi-tenant platform where tenant isolation is enforced at every layer — database, storage, API, and application logic.

  • Every client environment is fully isolated — no shared tables, no shared storage
  • API keys are scoped per tenant and per deployment
  • No cross-tenant data access is possible at the application or infrastructure level
  • Each tenant has a dedicated vector database for their Learning Center documents

Audit Trail & Traceability

For regulated industries, "we ran AI on this" is not enough. You need to show exactly what data was processed, which model was used, what obfuscation was applied, and what output was produced.

What CophyAI logs:

  • Every API request and response — full input/output record
  • Model used, prompt version, processing latency per request
  • Obfuscation events — what was detected, replaced, and when
  • User actions — who reviewed what, and what labels were applied
  • Workflow version active for each processed record
  • Quality experiment results — full audit history of benchmark runs

AI Guardrails

AI agents operate within boundaries you define. Every agent runs within a configurable risk framework that determines what it can read, propose, and execute.

Read Only

Retrieves and summarizes. No writes, no external calls.

Draft Action

Proposes an action. Human reviews before execution.

Committed Action

Executes directly. Requires explicit setup and sign-off.

  • Prompt injection detection
  • RAG injection watch
  • Confabulation limits — stops and flags rather than invents
  • Max iteration caps

Compliance Alignment

CophyAI was built with the compliance requirements of financial services, mortgage, insurance, and collections in mind.

  • PII/PCI handling aligned to GLBA, FCRA, and state-level data privacy requirements
  • Configurable data residency — control where data is processed and stored
  • Audit-ready logging for regulatory examination and internal audit requests
  • Role-based access controls — limit who sees what within your organization
  • Disclosure-compliant AI — configurable to support required disclosures in regulated communications

We are happy to:

  • Complete your InfoSec questionnaire
  • Provide architecture documentation for your security review
  • Discuss custom data handling requirements for your regulatory environment

See It In Action

Security controls you can configure and verify.

Obfuscation Configuration

PII obfuscation entity rules and pattern rules

RAG Injection Watch

RAG injection watch guardrail

Have specific security requirements? Let's talk through them.

We work with InfoSec and compliance teams directly. Bring your questionnaire — we'll bring the answers.