
Detect & take down online scams in real time with Outtake
Outtake gives RBI one platform to detect impersonation across domains, ads, social accounts, apps, loyalty and ordering, and franchise identities, connect isolated artifacts into the operation behind them, and coordinate action against the infrastructure attackers reuse.
01 four brand estates and market-specific domains
02 loyalty, ordering, franchise, and recruiting identities
03 shared infrastructure connects separate abuse
A global restaurant company increasingly powered by digital ordering, AI, and restaurant technology.
RBI operates four brands through a predominantly franchised system. The customer experience now spans restaurants, mobile and web ordering, loyalty, kiosks, delivery, restaurant technology, inventory, compliance, and franchise operations.
The customer and restaurant technology layer is becoming more connected.
RBI is investing across digital, restaurant technology, remodels, equipment, and operations through Reclaim the Flame. BK Assistant now puts AI-powered guidance, inventory management, and compliance tracking into restaurant workflows.
Customer trust moves through an external surface RBI does not fully control.
Every trusted brand touchpoint creates an opportunity for impersonation outside owned systems. Outtake follows those signals into the shared infrastructure, identities, and delivery paths behind them.
Four connected exposure zones. One trust problem.
Outtake searches across the portfolio, digital commerce layer, and franchise ecosystem, then connects what looks like separate abuse into one investigation the security team can act on.
RBI already treats cyber risk as enterprise risk. Impersonation belongs inside the same operating model.
These first-party statements and filings provide operating context. They are not evidence from the Burger King India Recon investigation.
BK Assistant
RBI introduced an AI-powered tool that gives Burger King managers and team members instant access to operational guidelines, inventory management, and compliance tracking. With approximately 41% of RBI's balance-sheet assets represented by its brands, the trusted identity around those workflows is part of the risk surface.
RBI describes the cyber threat environment as increasingly sophisticated.
The filing names malware, ransomware, phishing, denial-of-service attacks, and other disruptive behavior. It also says AI use by RBI, franchisees, and vendors may heighten cybersecurity risks.
RBI's stated program explicitly includes franchisees and external users.
RBI describes a risk-based approach to cybersecurity risks presented by vendors, service providers, franchisees, and other external users across its operating model.
RBI already warns that scams use imposter websites, email, and text messages.
The company says none of these offers are legitimate and states that it does not require candidates to make purchases, payments, or provide banking details before employment begins.
From piecemeal impersonation, to detection and dismantling at the root.
Outtake combines cross-surface detection, autonomous investigation, campaign correlation, and coordinated action in one workflow. RBI gets the evidence graph and response path, not another disconnected alert queue.
A Burger King India portal led to shared campaign infrastructure.
The detailed evidence preserves confidence, attribution boundaries, active status, shared hosting, certificate and cPanel relationships, and recommended investigation paths.
Built for teams protecting high-trust brands, executives, products, and customer journeys.

See how Outtake turns external scams into a threat graph RBI can disrupt.
In 30 minutes, review the Burger King India evidence, see how Outtake connected nine impersonation sites through shared infrastructure and template reuse, and discuss extending the same detect-to-dismantle workflow across RBI’s four brands and more than 120 countries and territories.