AI Risk for Credit Unions

Let your teams use AI without putting member data at risk

Loan officers, member service reps, and back-office staff are already pasting member information into AI tools. KonaSense gives you the visibility and controls to keep member data protected while your people move faster.

KonaSense protecting member data across lending and member services AI use.
AI Risk for Credit Unions

Where AI Creates Risk in Credit Unions

AI adoption in credit unions is happening with or without approval. Every prompt, upload, and copied note is a chance for member data to leave your control.

Critical

Member data exposure in everyday prompts

Staff paste account numbers, Social Security numbers, and transaction details into public AI tools to draft responses or summarize cases. That data can be stored and used to train models outside your control.

Critical

NCUA and exam gaps

When AI use is invisible, you cannot prove how member information was handled. Examiners increasingly expect AI governance evidence under NCUA Part 748 and the GLBA Safeguards Rule.

High

Shadow AI across lending and member services

Dozens of AI tools and browser extensions enter through loan officers, tellers, and back-office staff. Most bypass the third-party due diligence NCUA expects under Letter 07-CU-13.

High

Unsafe file uploads

Loan applications, account statements, and member lists get uploaded to AI assistants. A single upload can expose hundreds of member records at once.

How KonaSense Closes the Gap

KonaSense protects member data at the point of use, so your teams keep the productivity of AI while compliance keeps the evidence examiners expect.

Observability

Continuous, real-time visibility into every AI interaction across the organization, whether it comes from a person or an agent.

  • Map every AI tool, extension, and model in use
  • Adoption analytics by team, role, and location
  • Behavioral drift and anomaly detection
  • Investigation-grade session replay
  • Token and spend tracking across models

Security

Real-time protection against data exposure, prompt injection, and unsafe AI behavior, enforced at the point of use.

  • Detect and redact PII, secrets, and source code
  • Block prompt injection from files and RAG sources
  • Enforce shadow AI policies with block or redirect
  • Automated incident triage and containment
  • Credential and API key detection in prompts

Governance

Policy control, compliance evidence, and human-in-the-loop oversight across every AI workflow.

  • Role and department-aligned policy controls
  • Human-in-the-loop approval workflows
  • Data classification across all AI interactions
  • Audit-ready bundles for SOC 2 and ISO 27001
  • Board-ready AI risk reporting
Skills, não apenas DLP

Skills, Not Just DLP

DLP matches patterns in data and asks one question: is something sensitive here. KonaSense Skills understand the intent, role, and consequence behind each AI interaction, so they can block, coach, or require human approval based on what is actually happening. Skills are configurable to the specific challenges of your business.

Member Data Disclosure CoachCoach

Staff pasting member PII into public AI to draft responses

Exemplo de prompt

Draft a reply to this member: SSN 412-88-3391, account 90231, past-due auto loan, balance and transactions below.

Resposta da KonaSense

KonaSense redacts the SSN, account number, and transaction details inline and coaches the rep to the approved, NCUA aligned assistant before anything reaches a public tool.

Por que o DLP não pega isso

Pattern based DLP might flag an SSN, but it will not steer the rep to a safe workflow or preserve the evidence an examiner expects.

Loan File Upload GuardBlock

Loan applications and member lists uploaded to unvetted AI assistants

Exemplo de prompt

Upload this loan application PDF and member list spreadsheet and summarize the risk.

Resposta da KonaSense

KonaSense detects bulk member records in an upload to an unsanctioned tool, blocks the exfiltration at the point of use, and records the attempt for NCUA third-party due diligence evidence.

Por que o DLP não pega isso

Endpoint DLP struggles with document uploads to browser based AI and cannot produce the governance evidence NCUA expects under Letter 07-CU-13.

One Control Plane. Every AI Surface.

KonaSense sensors intercept AI interactions wherever they happen, with no code changes required and deployment in under a day.

Kona for Browser

Chrome and Edge sensor covering ChatGPT, Gemini, Copilot, Claude, and more than 50 AI tools. It intercepts prompts, uploads, and responses in real time with block, redact, and coach actions at the point of use.

Mais informações →
Kona for Agents

Real-time governance for developer AI agents across VS Code, Claude Code, GitHub Copilot, Cursor, Codex, and Codex CLI. It intercepts tool calls and agent actions before execution with cryptographic audit evidence.

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Protect member data without slowing service

Get the AI Risk Brief for Credit Unions and see how member owned institutions govern AI use while staying NCUA aligned.

Receba o briefing de risco de IAUm PDF que você pode compartilhar com seu time. Sem spam.

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