Fragmented identity
A brand can appear across different names, channels and digital addresses.
We’re developing preventive intelligence to help organizations identify signals of digital impersonation and protect what takes years to build.
An identity takes years to earn trust. A similar address can put that trust in question.
When people recognize a company’s name, they may assume that a similar web address belongs to the same organization. That association can be exploited to create confusion, impersonation and attempted fraud. Registering the primary domain is only part of the picture.
A brand can appear across different names, channels and digital addresses.
Without a dedicated team, new signals can go unnoticed.
Discovering an issue through a complaint can increase the work needed to clarify and respond.
We want to turn scattered digital signals into understandable information and better-informed decisions.
Identify potential points of confusion associated with a digital identity.
Contextualize signals to distinguish coincidences from situations worth investigating.
Organize relevant signals while reducing noise and unnecessary alerts.
Support the evaluation of preventive measures and response processes.
How easily could a digital identity be confused?
Our first proof of concept builds on an experimental similar-domain analysis tool originating in ETNRLZ Lab. A concrete starting point for the broader vision we want to build.
Explore the demoThe public integration is in preparation. Explore a clearly labeled illustrative example, without live queries or real results.
A company’s identity extends across channels, communities and digital relationships.
Digitalization expands the places where people need to recognize a brand.
Small and mid-sized organizations need useful intelligence without relying on large specialist teams.
Initial segments we want to listen to and understand during validation.
Businesses whose reputation and customer relationships depend on digital channels.
People and organizations with public identities recognized by their audiences.
Businesses seeking greater digital protection maturity with lean teams.
Companies whose interactions with users depend on credibility and trust.
We believe AI can turn fragmented information into more useful contextual analysis. Our vision combines automation and applied intelligence to support consistent, explainable assessments proportionate to the signals identified.
Principles guiding development. AI capabilities still require research and validation.
Each stage needs to generate learning before opening the way to the next.
Experimental similar-domain analysis, usability evaluation and interest validation.
Move from one-off analysis toward tracking changes and contextual interpretation.
Expand analysis and prioritization capabilities through artificial intelligence.
Evolve into a B2B SaaS product for operations, collaboration and response support.
BrandGuard AI is a product project in development, conceived by the founder of Vexio Studio. It builds on an ability to identify problems, integrate technologies and turn concepts into working tools.
Founder of Vexio Studio · Creator of BrandGuard AI
Hands-on experience in web applications and systems, process automation, platform integration, infrastructure and AI applications. His academic background and interest in Cyber Defense connect with entrepreneurial experience building solutions for businesses.
We want to hear from people facing this problem and connect with those who can help build the solution.
Explore the opportunity, business vision and current stage of development.
View the project overview