SecureBank Copilot

An AI copilot that translates cyber incidents into financial loss, regulatory exposure, and executive actions — before damage occurs.

Powered by Gemini 3, SecureBank Copilot simulates cyber incidents and quantifies financial and regulatory impact before incidents occur.

The problem

Financial institutions invest billions in cybersecurity, yet executives still struggle to answer a fundamental question:

“If this control fails, what will it actually cost us?”

That uncertainty leads to delayed decisions, regulatory fines, capital loss, and board-level accountability — after it’s too late.

Existing tools focus on technical alerts, compliance checklists, or post-incident reports — not on decision-ready financial and regulatory insight.

The solution

SecureBank Copilot turns cybersecurity from a reactive technical function into a proactive financial and regulatory decision system.

Using Gemini 3 as a multi-layer reasoning engine, the system simulates realistic cyber incidents and translates them into quantified loss, regulatory exposure, and operational impact — before damage occurs.

  • • Pre-incident scenario simulation
  • • Financial and regulatory impact quantification
  • • Executive-ready summaries
  • • “What-if” decision support

How it works

SecureBank Copilot uses Gemini 3 as a multi-layer reasoning engine to connect identity, transaction, control, and regulatory domains into a single decision graph — something traditional rule-based security tools cannot do.

The output is not alerts or raw metrics, but clear decision paths executives can act on.

Built with Gemini 3 · SecureBank™ Framework