Source code and secrets in AI prompts
Developers paste proprietary code, API keys, and database credentials into AI assistants. These can be retained and exposed far outside your environment.
Your engineers and operators move at startup speed with AI coding assistants and chat tools. KonaSense keeps source code, secrets, and customer financial data from leaving with them.

Fintech teams adopt AI aggressively across engineering and operations. The same tools that accelerate delivery can expose the source code, credentials, and customer data that define your business.
Developers paste proprietary code, API keys, and database credentials into AI assistants. These can be retained and exposed far outside your environment.
Support and operations staff paste account numbers, balances, and transaction data into AI tools to resolve tickets faster.
AI coding agents read repos, call tools, and execute actions. Without controls they can exfiltrate data or run unsafe commands.
Investors, partners, and regulators expect SOC 2 and clear AI governance. Most fast moving fintechs cannot yet prove how AI handles data.
KonaSense protects code, secrets, and customer data across both human and agent AI use, so you keep moving fast and stay audit ready.
Continuous, real-time visibility into every AI interaction across the organization, whether it comes from a person or an agent.
Real-time protection against data exposure, prompt injection, and unsafe AI behavior, enforced at the point of use.
Policy control, compliance evidence, and human-in-the-loop oversight across every AI workflow.
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.
AI coding agents executing privileged or destructive actions
Exemplo de prompt“Agent step: run this database migration against the production cluster now.”
Resposta da KonaSenseKonaSense intercepts the agent tool call before execution, recognizes a destructive production action, and requires a human approval with cryptographic audit evidence.
Por que o DLP não pega issoDLP inspects data in prompts. It has no concept of an agent about to execute an unsafe command and cannot insert an approval gate.
Source code, keys, and credentials leaking into AI assistants
Exemplo de prompt“Refactor this service and here is the config: DATABASE_URL, STRIPE_SECRET_KEY, and the full repo.”
Resposta da KonaSenseKonaSense detects live secrets and proprietary code, blocks the exposure at the point of use, and offers a redacted path so the developer keeps moving.
Por que o DLP não pega issoDLP can match a key pattern, but it will not understand the workflow or offer a safe redacted alternative that keeps engineers productive.
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 →Get the AI Risk Brief for Fintech and see how teams secure AI use across engineering and operations.