Confidential and material nonpublic data
Staff paste deal terms, client portfolios, and material nonpublic information into AI tools, creating leak and insider risk.
AI Risk for Finance
Give your teams AI with the controls regulators expect
Analysts, advisors, and back office teams use AI for research, reporting, and client work. KonaSense keeps material nonpublic information and client data protected while you meet your regulatory duties.
Where AI Creates Risk in Finance
Financial institutions operate under strict rules for data, supervision, and record keeping. Unmanaged AI use puts confidential information and regulatory standing at risk every day.
Supervision and record keeping gaps
Regulators expect supervision and retained records of business communications. AI chats happen in tools your compliance team cannot see or capture.
Client PII and trust
Advisors paste client names, account details, and financial profiles into AI assistants, exposing sensitive data and breaking client trust.
Inconsistent controls across the firm
Different desks and offices use different AI tools with no shared policy, making firm wide compliance impossible to demonstrate.
How KonaSense Closes the Gap
KonaSense gives finance firms the visibility, controls, and records they need to let teams use AI while staying inside their regulatory obligations.
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, 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.
Material nonpublic information used in insider sensitive prompts
Exemplo de prompt“Summarize this draft deal memo and predict how the stock moves on announcement.”
Resposta da KonaSenseKonaSense recognizes material nonpublic information combined with a market prediction intent. It blocks or coaches the user and captures a supervised, retained record for compliance.
Por que o DLP não pega issoDLP might flag a ticker or account number, but it cannot see the insider risk intent or satisfy supervision and record keeping duties.
Advisors exposing client portfolios and PII to AI tools
Exemplo de prompt“Draft a portfolio review for client Maria Lopez, account 4471, holdings and balances below.”
Resposta da KonaSenseKonaSense redacts client identifiers inline and steers the advisor to the firm approved assistant, preserving the productivity without breaking client trust.
Por que o DLP não pega issoDLP can detect an account number, but it will not coach the advisor toward a compliant tool or preserve a supervised record of the interaction.
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.
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 →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.
Mais informações →AI productivity with regulatory confidence
Get the AI Risk Brief for Finance and see how firms govern AI use while meeting supervision and data duties.