Optimizing Brand Protection Services for Enterprise Security

Trust in a brand is an enterprise's most valuable asset. It cannot be bought, takes time to build, and is the foundation of all quality business sprouts. For large-scale organizations, effectively optimizing brand protection services to protect that hard-earned trust is paramount to staying ahead in the marketplace and remaining a global leader.

The best time to stop a threat to an enterprise's reputation is before it happens. Proactive brand protection services significantly reduce company costs and employee burnout. According to the Federal Trade Commission, monetary losses associated with brand abuse spiked 85% from October 2020 through September 2021, to the tune of $2 Billion in the U.S. alone.

The average cost of handling a brand abuse crisis for large-scale companies can exceed $5 million per incident. This cost is the starting point, as the remediation workload from IT and cybersecurity personnel pulls away resources from previous projects and can quickly shift an established security budget.

The sheer scale of monitoring the entire online company brand can quickly become untenable and impractical. In contrast, AI-driven solutions empower technology leaders by providing scalable protection, reporting, and ROI benefits. By securing the company's assets and data, IT and cybersecurity executives will feel confident that AI-based brand protection services will seek out brand abuse issues and automatically alert security teams without wasting time on unnecessary investigations.

The increase in brand-related attacks makes sense, as the growth of new online spaces, such as TikTok, BlueSky, Temu, and generative AI hubs, have rapidly expanded the attack surface, especially for brand protection. This reality can feel daunting as the necessary costs, complexities, and requirements for brand misuse monitoring outpace the existing knowledge, budget, and security policies.

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We have developed brand security solutions for leaders who want to take the pressure off their brand monitoring practice with immediate options and invite you to learn more about our brand protection solution.

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AI-driven solutions mitigate the stress on enterprise resources, providing relief across the entire brand-centric surface, investigating deep online spaces, and stopping malevolent actors in the dark web before potential issues affect reputational value or market share.

With robust tools, simple yet effective best practices, and collaborative strategies, enterprises can shut down brand impersonation efforts. Simultaneously, automated tools provide valuable information on how to better prevent these attacks in the future. Continue reading for a step-by-step solution for improving online brand protection across the enterprise.

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Building a Scalable Architecture for Brand Protection

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Enterprises house massive amounts of data across their brand channels. A single channel can house information ranging from public assets to sensitive business details. However, at the enterprise level, brands are active on easily over a dozen distinct platforms, with more constantly merging. Each distinct channel brings different requirements, such as securing IP, protecting domains, stopping duplicate SEO results, and other public-facing materials representing the organization. Modern brand protection services require protecting all of them through a robust technical foundation that can effectively handle the volume at scale.

With limited personnel, budget, and vulnerabilities specific to brand new channels, existing brand protection methods are quickly growing obsolete. Modern brand protection solutions utilize real-time data feeds, AI-driven threat intelligence, and cross-department collaboration to mitigate emerging threats. Continuous monitoring through SIEM (Security Information and Event Management) helps track hundreds or thousands of endpoints across branding channels. AI boosts the value with real-time insights into patterns, trends, and anomalies. With this data, security teams are alerted to exploitations in real time and are provided with breach details as the situation occurs.

There is an unfortunate reality that a security team's full scope of knowledge in traditional cybersecurity or IT does not translate to an equal level of skill for digital threat vectors across the brand-specific attack surface. The security principles that work for firewalls and ransomware may not apply correctly to social media stories, podcasting platforms, or duplicative paid ads. This is an added benefit of using AI-enhanced online brand protection services; it reduces the guesswork while boosting confidence when handling complex cybersecurity attacks across branding platforms.

Proactive AI threat intelligence takes the benefits a step further, building predictive analysis that anticipates strategies used by attackers and stops them in their tracks. Part of an enterprise-scale brand defense is equipping all departments with access to reporting tools. If anyone from marketing, security, finance, legal, or customer service encounters a brand security issue online, the reporting process needs to learn from past situations so that other departments' experiences are calculated for as well.

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Technical Integration & ROI

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Brand protection extends to when potential clients are searching for your services. If a user searches with specific keywords that match your profile, they won't think twice about clicking on a link to a known enterprise's website. However, if a malevolent actor has created a duplicative URL or Google Ad, it's easy for a client to fall victim to a scam and blame the enterprise organization for it. This means that enterprises' online brand protection practice involves monitoring browser and SEO activity related to their brand and taking action to mitigate reputational risk.

This can be achieved by integrating SEO services such as People Also Ask with SIEM solutions. By identifying specific keywords or search queries that present a potential exploitation scenario, large organizations can help themselves twofold.

First, they will prevent attackers from inflicting damage on potential clients, and second, genuine organizations will gain those clients for themselves in the process. The ROI for this preemptive practice is immense. Gartner expects that by 2028, marketing and cybersecurity teams will spend a collective $30 billion (or 10% of budget) combating misinformation spread by malevolent actors. By investing in it now, global companies will cultivate an enterprise-scale brand defense that expects this activity.

For additional tips on approaching enterprise-scale brand protection, we recommend that all technology leadership download the brand protection datasheet for in-depth insights, especially regarding the "technical specifications and performance benchmarks" portions. After learning how enterprises secure their brands, schedule a technical demo with our team to discuss how AI-enhanced threat intelligence platforms can integrate into your existing cybersecurity systems.

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Streamlining Continuous Monitoring and Enforcement

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Once an enterprise has established a high-quality brand security architecture, it's time to begin the next phase, which involves brand protection through perpetual scanning and monitoring. Effective online brand protection relies on continuous, automated scanning of various digital channels for potential threats.

These channels include websites (active web pages, legacy URLs), social media (executive leadership LinkedIn profiles, TikTok or BlueSky accounts), apps (first-party and third-party mobile applications), and additional channels (e-commerce, publicly available digital documents, cryptocurrency). While the mission of securing each individual brand channel is the same, the actual methods for implementing the protections tend to be quite distinct and nuanced.

With a vast array of different channels, this can quickly feel confusing. That is why Doppel has invested significant resources into developing AI specifically for real-time monitoring across brand channels and a user interface that allows easy application of the data gathered by the brand protection tool suite.

However, brand-new channels can become prime suspects for brand abuse, and keeping up with all of them can become acutely frustrating. This is with good reason, and the feeling is a shared one.

Digital branding platforms are unique because their goal is the widespread interaction between organizations and between individuals. New channels crop up constantly, and many digital marketing platforms utilize similar underlying strategies. From a cybersecurity perspective, an already patched vulnerability on an existing platform can easily be exploited on a brand-new space that hasn't yet protected its systems.

Advanced tools and machine learning coordinate to protect organizations when these issues occur. Smart, automated responses significantly reduce the manual oversight needed to monitor these channels or stop a problem in real time.

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Automated Takedowns & Threat Response

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The value of automated tools is immense. They are highly accessible to enterprises and flexible, lending themselves to be an easy aspect of integrated security infrastructure and providing a speedy output to their designated task. Of course, the realistic flipside is that attackers can use this technology to try and hack into an enterprise's online brand protection system. With increasingly complex attack strategies comes the need for more robust protection tools.

Let's examine brand impersonations or fraudulent domains as an example. With powerful and accessible software, malevolent actors can acquire fake domains, mimic an enterprise's brand identity, and steal internet traffic from any unsuspecting users who click on the website. Similarly, a fraudulent domain can quickly be bought with a seemingly accurate homepage and e-commerce shop. If a user falls victim to the trick, their sensitive details can be stolen, and they may ask the company for help or proclaim they are being scammed as the user expects an order that never arrives.

The solution is to take down the fraudulent issue, but this process is not inherently immediate or straightforward. Traditional domain takedown vendors use manual reviews for their process. This often gets delayed due to bureaucratic issues, such as administrative red tape, legal complexities, or a simple lack of expertise. Without automated real-time monitoring, identifying and analyzing sufficient evidence for a takedown can range from days to even weeks. This leaves duplicitous content online and viewable for a much lengthier period of time.

In comparison, AI solutions are 200% faster when it comes to fraud detection, and Doppel's AI-driven workflow is far more swift in its takedown strategies. Once Doppel's brand protection suite identifies an issue, it rapidly protects the enterprise by automatically removing harmful domains. This protection works at scale, securing multiple browsers and integrating with the latest digital platforms to create an effective automated response to threats.

The to-do list for global organizations dealing with takedown and threat response needs is never-ending. If an enterprise only schedules its threat scans, there is a large sense of irritation when the IT team slowly discovers an issue that is days or weeks old. With real-time alerting, AI systems continuously scan the brand surface, automatically informing IT personnel of any potential issues. Like any cybersecurity scenario, protection through an AI or machine learning integrated security infrastructure starts with understanding.

We have guided resources to help leaders and executives explore essential concepts of brand protection and deepen their understanding without getting lost in the weeds. To address ongoing brand misuse concerns within your company, explore our website and request a personalized threat assessment that incorporates your team and industry requirements.

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Leveraging AI and Analytics for Proactive Defense

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As previously mentioned, the latest machine learning algorithms can detect brand fraud 200% faster than legacy systems. Leveraging AI for proactive brand protection services reduces manual requirements and identifies genuine brand fraud instances without overwhelming teams with false positives. Over time, this precision creates a sense of trust in the alerts and provides actionable metrics for teams and leadership, eliminating unnecessary investigations and reducing alert fatigue for response teams.

Protecting client PII and other sensitive details includes following compliance requirements such as the GDPR and industry-specific compliance needs, such as HIPAA, PCI DSS, and ESG. Using AI-enhanced brand infringement solutions lends itself to a solution that alerts security teams to compliance issues and security breaches. Through machine learning, Doppel's brand protection services learn from itself, establishing best security practices and compliance practices. Additionally, when compliance needs change, simple adjustments to the automated system allow an enterprise's wide-ranging compliance practice to change in response.

This guide has discussed multiple reasons why constant brand infringement threats occur, so any sense of anxiousness or dread felt by technology leaders is well founded. However, there are solutions to establish quality brand protection and to feel genuine peace of mind.

Analytics-forward solutions track all insights gained through brand protection, allowing leaders to easily report metrics and explain long-term trends from brand infringement solutions to colleagues. Machine learning brand protection services can analyze immense volumes of digital activity, providing teams with easy indicators of attempted brand fraud and impersonation. This proactive approach is faster, costs less, and more effective than manual reviews that are reaction driven.

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Collaboration and Reporting

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Once an enterprise establishes an automated brand protection practice, the impactful ROI from the security and business perspectives becomes easily explainable to non-technology executives and finance, marketing, or legal departments.

This easy and exciting momentum is crucial, as establishing clear benefits helps gain the support of other departments. With this support comes a unified enterprise cybersecurity method and the resources to implement it. This cross-functional strategy helps clear any confusion about how departments should respond during an incident. It helps carry teams forward when they wonder why they need to take specific actions and what they need to do during a crisis scenario.

As non-technical departments begin to understand the "whys" and "hows" of brand protection services, essential teams, such as finance, legal, and e-commerce, will start to speak up, expressing what needs to happen so the enterprise meets any regulatory standards that IT and cybersecurity departments are not yet aware of.

For a reference on how to best report the trends and outcomes from machine learning analysis, begin by studying case studies from Fortune 500 implementations to learn how to showcase the ways advanced analytics drive results while providing a quality return on investment. For additional proof, please read through our blog to see how AI is transforming brand defense strategies.

To kickstart the brand protection implementation, we've compiled a guiding document to help IT and cybersecurity teams discover actionable steps to enhance your brand security that builds upon the AI-driven brand protection framework.

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Leverage Leading Technologies with Doppel

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Optimizing enterprise brand protection services is an ongoing process that has reached its height in scope, importance, and required resources. These factors are still growing, and Doppel's brand protection suite equips enterprises with a scalable architecture framework, machine learning-focused continuous monitoring tools, and AI-enhanced insights to guard against their real-time threats. With robust brand protection features, an impressive cybersecurity ROI, and easily explainable benefits, leaders will feel confident and ready to advance into the next stage of their brand protection strategy.

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To boost your enterprise's brand protection, visit us to get a broader view of our cybersecurity solutions and start building a proactive brand protection roadmap immediately.

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