Shadow AI
Employees paste customer data into unsanctioned chatbots. Often no SOC (Security Operations Center) alert, no ticket, and a ban that kills competitive speed.
Balteus is a real-time AI enabler: visibility and explainable allow / block on AI traffic, so your firm can adopt AI without betting the franchise on a policy PDF.
Built for Chief Information Security Officers (CISOs, cybersecurity), Heads of AI, Chief Technology Officers (CTOs, technology), and risk owners who must answer the board when Shadow AI, copilots, and agents touch customer data.
Policy decks and approved-tool lists fail when the risk is an HTTPS session to a personal AI account - or an agent that acts without a ticket.
Employees paste customer data into unsanctioned chatbots. Often no SOC (Security Operations Center) alert, no ticket, and a ban that kills competitive speed.
Enterprise seats for copilots and chat are not a control plane. Licensed tools still move sensitive content through prompts and connected systems.
Agents and retrieval systems turn leak risk into wrong action or wrong answer - credit, support, and compliance workflows included.
Balteus sits on the path of AI traffic (where your topology allows), surfaces destinations and intent, and produces allow / block decisions with reasons your auditors can read.
Mid-market fintech purchases stall when AI risk, security, and technology disagree. Balteus is framed for the seats that unblock that conversation.
| Stakeholder | What is at stake | What changes |
|---|---|---|
| CEO / Board | Speed vs reputational catastrophe | Enable AI without invisible franchise risk |
| CFO / Risk | Unpriced exposure; insurance renewals | A paid pilot sized to prove value before a large commitment |
| CRO / Compliance | Audit findings; regulatory scrutiny | Deterministic decisions tied to policy language |
| CISO / CTO / Head of AI | Shadow AI, agent sprawl, tool fatigue | One surface for visibility and explainable control |
Early conversations die on process fear, not feature checklists. The program is designed around those objections.
Paid pilot, not a multi-year enterprise suite. Topology fit first. Kill early if there is no usable path.
Evidence and reason codes first. Enforcement only where the path and change windows allow - not day-one rip and replace.
Fit calls expect a technical sponsor and an executive sponsor. We help frame the shared narrative for both seats.
Partners get early access, influence on how evidence and benchmarks are shaped for fintech, and a path to production pricing aligned with AI adoption - not a ticket in a vendor queue.
Tell us where AI exposure is highest today, what a long detection delay would cost you, and whether board-ready proof would unlock faster AI adoption.