Detect and disrupt brand impersonation and abuse before it harms customers and triggers security incidents.
Your brand has value: it builds consumer trust, reputation and the bottom line. And that’s why it is so lucrative to cybercriminals. By impersonating your brand through creating lookalike websites, spoofed support channels, fake social media profiles and apps, threat actors can trick employees and customers into sharing credentials and sensitive data or diverting payments. AI has made it easier than ever for cybercriminals to impersonate your brand, amplifying the speed, scale and sophistication of campaigns, while significantly lowering the barrier for entry. It does not take long to damage this hard-won trust and when reputation drives revenue, brand abuse becomes a real business risk.
Teams need near real-time visibility across the external digital environment to detect these threats, validate what is real and take action before customer trust of financial value is impacted.
Brand abuse is now a front-line cybersecurity issue. Brand impersonation is how many fraud and account takeovers begin. Attackers are increasingly relying on abusing a brand’s trust and identity signals — their logos, domains and single sign-on or identity provider (SSO/IdP) portal experiences — to make their scams feel more legitimate and increase the success rate of gaining an entry point to begin more broader intrusion activity. Teams need to be able to spot these early warning signs across attacker channels, validating with evidence and prioritizing based on real threat actor activity.
Brand Exposure is a solution within Intel 471’s Cyber Threat Exposure portfolio. Accessed as a mode within Verity471’s Exposure module, it helps organizations detect and investigate brand impersonation and misuse across common attacker channels. It converts external signals into prioritized findings based on each organization’s needs, supports evidence-led validation and enables pivots into relevant Intel 471 Cyber Threat Intelligence (CTI) context when correlation exists. For malicious domains, teams can also initiate a streamlined disruption request workflow through our third-party execution partner.
Brand Monitor Dashboard: Summarizes brand-specific risk through localized exposure scores, KPIs, trendlines and visualization of risk across data dimensions. Users can swiftly pivot from these summaries directly into raw captured evidence or linked Intel 471 CTI to validate active threats.
Our solution delivers a threat-based lens that helps organizations focus on what truly matters: the findings that represent real, operational risk.
Instead of reacting to noise, you can prioritize the vulnerabilities and exposures to drive measurable risk reduction.
Protect customers and brand trust:
Detect brand impersonation and misuse early across key attacker channels—including lookalike/typosquat domains, brand impersonation, and abuse across 600+ social platforms—to limit customer harm and reputational impact. For CISOs, this reduces customer harm and protects revenue and brand equity.
Reduce fraud and compromise risk:
Identify and validate credential-harvesting and phishing infrastructure (e.g., fake login portals and lookalike sites) using supporting evidence such as screenshots, OCR/logo detection, and domain registration context, plus corroboration from trusted external phishing signals to separate active threats from background noise. For SOC leads, this speeds triage and reduces false positives through evidence and corroboration.lue.
Expand visibility beyond domains:
Monitor the broader digital footprint for brand-adjacent exposure, including code repositories (shadow projects and credential leakage risk) and mobile app stores (apps referencing customer domains that may indicate fraudulent brand use). This helps practitioners surface additional high-signal leads beyond domains and shortens investigation time.
Prioritize and operationalize response:
Cut through noise using pre-configured finding rules, toggleable controls, and adjustable risk ratings, then drive outcomes via structured workflows—assign findings, track investigation history and pivot to CTI/raw evidence. This creates a predictable queue for SOC leads, with a repeatable path to follow from finding to closure.ation.
Add cyber threat context:
Enrich findings with Intel 471 context by surfacing underground mentions, relevant breach reporting, and malware targeting visibility. Prioritizing remediation based on real-world context makes escalation decisions for CISOs far easier to justify.
Initiate malicious domain disruption:
Initiate malicious domain disruption requests through a structured, partner-assisted process, helping turn validated findings into action. Empower brand protection and trust and safety leads to coordinating takedown activity and SOC leads to support cleaner escalation and handoffs across teams.
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