AI Security for Banks and Financial Institutions

Zero Day Security helps banks, insurers, asset managers and large enterprises take control of the AI now running across their business. We tell you what AI is in use, where it is exposed, and the order in which to govern and control it. You get a single, board-ready picture instead of a scattered set of pilots no one fully owns.

The problem the board is already asking about

Copilots are embedded in productivity suites. Automations move money and data between systems. Agents read customer records, draft decisions, and call internal tools. Most of this arrived through individual teams and vendors, not through a single program, so no one can state with confidence what is deployed or who is accountable when it goes wrong.

For a financial institution, that uncertainty is a fiduciary exposure, not just a technical one. Boards and risk committees are expected to oversee material risk, and AI that can act inside core systems is becoming material. The honest first question is not which product to buy. It is whether you can even see what you are exposed to.

What we actually do for you

• AI inventory. We surface the copilots, automations, agents and AI-enabled vendor features actually in use across the business, including the ones that never went through a formal review.
• Exposure map. We show where that AI touches sensitive data, customer-facing decisions, money movement and privileged systems, and where it can act without a human in the loop.
• Governance and ownership. We help you fix the unanswered question of who owns AI risk, so accountability sits with named roles and a real oversight cadence, not with whoever shipped the pilot.
• Third-party and vendor AI risk. We assess the AI features your suppliers turned on inside your environment, since their model behavior becomes your liability.
• Board-ready reporting. We translate the findings into language a board and a risk committee can act on, mapped to recognized frameworks so it stands up to scrutiny.

Measured against frameworks your auditors recognize

We ground the work in frameworks built for this, not invented for a sales deck. The NIST AI Risk Management Framework and ISO/IEC 42001 set the governance bar for managing AI risk. The OWASP Agentic Security Initiative, the OWASP LLM Top 10 and MITRE ATLAS describe how AI systems are actually attacked. Where you also carry SOC 2, ISO 27001 or GDPR obligations, the assessment lines up with the evidence those programs already require.

Visibility comes first, but it is not a control

Discovering and scanning your AI shows what you have and where it is weak. On its own it stops nothing at runtime. The hardest gaps tend to be architecture, such as an agent holding standing access to a system it should only touch under supervision, and no product closes those for you. We will name those gaps plainly and tell you when a problem has no off-the-shelf fix, rather than sell you a tool that only watches it happen.

That is also why this page diagnoses and does not prescribe. The free assessment shows you what is wrong and in what order it matters. The detailed remediation, the architecture changes and the runtime controls are the engagement that follows. We would rather you start from a clear, honest picture than a generic checklist.