Capital-markets and compliance teams want AI on the most sensitive material they hold. Globenova lets them use it without leaking material non-public information, breaching tipping-off rules, or losing the evidence an examiner will ask for.
Deal-team research, client records, and transaction data are exactly where AI assistants add value and exactly where a leak is most costly. Material non-public information under embargo, suspicious-transaction context under anti-money-laundering law, and payment data under PCI all carry rules a general-purpose AI tool does not understand. Under prudential technology-risk supervision, such as OSFI B-13 or the EU's DORA, the institution must be able to evidence its controls. The need is to let analysts work while the controls hold at the moment of use, and while every decision becomes evidence rather than risk.
Every prompt, retrieval, tool call, and response your teams' AI makes passes through Sentinel first. It classifies what is flowing and who is handling it, then allows, redacts, blocks, or escalates in real time, and records every decision to a tamper-evident log. For financial work it redacts or blocks material non-public information under embargo before it reaches a model, respects tipping-off constraints under anti-money-laundering law, and produces evidence a prudential examiner can review.
Forge generates high-fidelity synthetic data inside your environment, so models can be built and tested without the protected source ever leaving custody. Teams get synthetic equivalents of client and transaction data for model development and testing, supporting portability and consent obligations under your data-protection law without exposing the originals.
An analyst summarizes research with an AI assistant. Globenova redacts or blocks material non-public information under embargo before it reaches the model, and records the decision for the audit trail.
A compliance officer reviews potential tipping-off with AI-assisted analysis. Globenova keeps documents carrying suspicious-transaction markers inside the regulated boundary.
Every decision is written to a tamper-evident log, so third-party-risk and control attestations under prudential technology-risk supervision are supported by records, not assertions.
Forge produces synthetic equivalents inside your environment, so models are built and tested without exposing real client or transaction data.
Globenova is built for these frameworks and is designed to support them in deployment. These statements describe what the platform is engineered toward, not a claim of certification by any regulator.
A short working session on where AI tools in your firm reach material non-public information, client data, and transaction context today, where the controls are thin, and what Globenova would inspect. Your environment, your synthetic data, no commitment.