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	<title>&#45; CircleID</title>
	<link>https://www.circleid.com/blogs/</link>
	<description>Postings from  on CircleID</description>
	<dc:language>en</dc:language>
	<dc:rights>Copyright 2026, unless where otherwise noted.</dc:rights>
	<dc:date>2026-03-31T21:29:00+00:00</dc:date>

	
	<item>
		<title> How the Growth of AI May Drive a Fundamental Step-Change in the Domain Name Landscape (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postshow-the-growth-of-ai-may-drive-a-fundamental-step-change-in-the-domain-name-landscape</guid>
		<link>https://circleid.com/postshow-the-growth-of-ai-may-drive-a-fundamental-step-change-in-the-domain-name-landscape</link>
		<description><![CDATA[As artificial intelligence reshapes how users navigate the web, domain names may undergo explosive growth, potentially reaching tens of billions. A new infrastructure of trusted digital identities could become essential for AI agents. <a href="https://circleid.com/postshow-the-growth-of-ai-may-drive-a-fundamental-step-change-in-the-domain-name-landscape">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> The Commonest Domain Features: Constructing Look-Up Tables for Use as Part of a Domain Risk Scoring System (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/poststhe-commonest-domain-features-constructing-look-up-tables-for-use-as-part-of-a-domain-risk-scoring-system</guid>
		<link>https://circleid.com/poststhe-commonest-domain-features-constructing-look-up-tables-for-use-as-part-of-a-domain-risk-scoring-system</link>
		<description><![CDATA[Many previous pieces of research have focused on the desirability of a comprehensive scoring system, to be used for ranking results identified as part of a brand-protection solution, according to their potential level of threat. Such scoring systems offer the capability for identifying prioritised targets for further analysis, content tracking or enforcement actions. <a href="https://circleid.com/poststhe-commonest-domain-features-constructing-look-up-tables-for-use-as-part-of-a-domain-risk-scoring-system">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Towards a Generalised Threat-Scoring Framework for Prioritising Results From Brand Monitoring Programmes (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/poststowards-a-generalised-threat-scoring-framework-for-prioritising-results-from-brand-monitoring-programmes</guid>
		<link>https://circleid.com/poststowards-a-generalised-threat-scoring-framework-for-prioritising-results-from-brand-monitoring-programmes</link>
		<description><![CDATA[The ability to rank results according to the level of threat they pose (based on factors such as, for example, the extent to which a webpage relates to a brand of interest) is a key component of many brand protection services. The prioritisation process has a number of purposes, including the identification of: (a) priority targets for further analysis; (b) candidates for content tracking (i.e. regular reinspection of content or configuration, and the generation of an alert if high-concern findings are identified) - as may be appropriate in cases where a domain name presents a high potential level of risk but is not currently associated with any live site content; and (c) priority targets for enforcement actions. <a href="https://circleid.com/poststowards-a-generalised-threat-scoring-framework-for-prioritising-results-from-brand-monitoring-programmes">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> 'Notorious Hosting Providers': An Overview of the Highest-Threat Hosts From IP-address Blacklist Analysis (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsnotorious-hosting-providers-an-overview-of-the-highest-threat-hosts-from-ip-address-blacklist-analysis</guid>
		<link>https://circleid.com/postsnotorious-hosting-providers-an-overview-of-the-highest-threat-hosts-from-ip-address-blacklist-analysis</link>
		<description><![CDATA[One major element of many brand-protection programmes is the use of an algorithm to sort the findings identified through monitoring, according to their relevance or level of potential threat. This prioritisation process offers a number of benefits, including the identification of priority targets for further analysis, content tracking, or enforcement. <a href="https://circleid.com/postsnotorious-hosting-providers-an-overview-of-the-highest-threat-hosts-from-ip-address-blacklist-analysis">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Br'AI've New World - Part 1: Brand Protection 'Clustering' as a Candidate Task for the Application of AI Capabilities (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsbraive-new-world-part-1-brand-protection-clustering-as-a-candidate-task-for-the-application-of-ai-capabilities</guid>
		<link>https://circleid.com/postsbraive-new-world-part-1-brand-protection-clustering-as-a-candidate-task-for-the-application-of-ai-capabilities</link>
		<description><![CDATA[As counterfeit networks grow more elusive, AI-driven clustering could revolutionize brand protection. By linking disparate findings, identifying serial infringers, and enabling bulk enforcement, AI offers a smarter approach to monitoring and takedown efforts. Yet, challenges remain - from data reliability to analyzing complex content. Companies that master AI-driven clustering may gain a significant advantage in the fight against brand abuse. <a href="https://circleid.com/postsbraive-new-world-part-1-brand-protection-clustering-as-a-candidate-task-for-the-application-of-ai-capabilities">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Unregistered Gems Part 6: Phonemizing Strings to Find Brandable Domains (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsunregistered-gems-part-6-phonemizing-strings-to-find-brandable-domains</guid>
		<link>https://circleid.com/postsunregistered-gems-part-6-phonemizing-strings-to-find-brandable-domains</link>
		<description><![CDATA[The UnregisteredGems.com series of articles explores a range of techniques to filter and search through the universe of unregistered domain names, in order to find examples which may be compelling candidates for entities looking to select a new brand name (and its associated domain). The previous instalment of the series looked at the categorisation of candidate names according to the phonetic characteristics of its constituent consonants, using a simple one-to-one mapping between each consonant and a corresponding phonetic group. <a href="https://circleid.com/postsunregistered-gems-part-6-phonemizing-strings-to-find-brandable-domains">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Unregistered Gems Part 5: Using Groupings to Find Brandable Domains (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsunregistered-gems-part-5-using-groupings-to-find-brandable-domains</guid>
		<link>https://circleid.com/postsunregistered-gems-part-5-using-groupings-to-find-brandable-domains</link>
		<description><![CDATA[The initial instalment of my recent series of articles on domain name discovery1 considered the use of phonotactic analysis - that is, the measure of the similarity of a string to the 'corpus' of other words in a language - to identify available unregistered candidate domains which may be of interest for potential brandability. <a href="https://circleid.com/postsunregistered-gems-part-5-using-groupings-to-find-brandable-domains">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> A Review of the 2024 Threat Landscape and Implications for Domain Security (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsa-review-of-the-2024-threat-landscape-and-implications-for-domain-security</guid>
		<link>https://circleid.com/postsa-review-of-the-2024-threat-landscape-and-implications-for-domain-security</link>
		<description><![CDATA[The cybersecurity landscape in 2024 has been characterised by unprecedented complexity and rapidly evolving threats, presenting significant challenges for organisations across all sectors. As the digital attack surface expands and threat actors employ increasingly sophisticated techniques, domain security has emerged as a critical component of a robust cybersecurity strategy. <a href="https://circleid.com/postsa-review-of-the-2024-threat-landscape-and-implications-for-domain-security">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Availability Analysis of Brandable Variant-String Domain Names (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsavailability-analysis-of-brandable-variant-string-domain-names</guid>
		<link>https://circleid.com/postsavailability-analysis-of-brandable-variant-string-domain-names</link>
		<description><![CDATA[For any entity looking to launch a new company or other initiative, a primary requirement is often the selection of an appropriate brand name and the acquisition of a relevant associated domain name. In light of the increasing shortage of short, unregistered memorable names on popular domain name extensions (TLDs), many organisations are choosing to adopt novel or invented brand names and/or consider the use of alternative TLDs. <a href="https://circleid.com/postsavailability-analysis-of-brandable-variant-string-domain-names">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Further Ideas in Mark Similarity Measurement (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsfurther-ideas-in-mark-similarity-measurement</guid>
		<link>https://circleid.com/postsfurther-ideas-in-mark-similarity-measurement</link>
		<description><![CDATA[In the final three articles in my series looking at algorithms for measuring the similarity of marks, I extend the ideas to provide a more sophisticated and adaptable framework. Article 4 introduces a similarity score based on color distance in RGB space, offering a quantitative approach to trademark similarity. Article 5 refines word mark similarity by using the International Phonetic Alphabet to improve phonetic analysis. The final article presents a method for sorting colors by dominant shade, aiding in trademark review and potential guidelines for color mark protection. <a href="https://circleid.com/postsfurther-ideas-in-mark-similarity-measurement">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Further Developing a Word Mark Similarity Measurement Framework (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsfurther-developing-a-word-mark-similarity-measurement-framework</guid>
		<link>https://circleid.com/postsfurther-developing-a-word-mark-similarity-measurement-framework</link>
		<description><![CDATA[Expanding on a framework for quantifying word mark similarity by examining algorithms and proposing enhancements. This article assesses consistency with UK trademark case decisions and a search tool, explores subsequence analysis for similarity, and suggests using IPA phonetics to measure aural likeness. The objective framework could improve consistency in trademark assessments, despite the inherent subjectivity of legal tests. <a href="https://circleid.com/postsfurther-developing-a-word-mark-similarity-measurement-framework">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Further Developing a Colour Mark Similarity Measurement Framework: Building a Database (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsfurther-developing-a-colour-mark-similarity-measurement-framework-building-a-database</guid>
		<link>https://circleid.com/postsfurther-developing-a-colour-mark-similarity-measurement-framework-building-a-database</link>
		<description><![CDATA[In my recent article on mark similarity measurement, I discussed a possible framework for protecting colour marks. The framework involves the specification of each colour according to its RGB (red-green-blue) specification (in which each component is expressed as an integer value between 0 and 255), with the suggestion that the protection afforded by a colour trademark could incorporate not only this exact colour, but also all similar colours around it up to a certain 'distance'... <a href="https://circleid.com/postsfurther-developing-a-colour-mark-similarity-measurement-framework-building-a-database">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Towards a Quantitative Approach for Objectively Measuring the Similarity of Marks (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/poststowards-a-quantitative-approach-for-objectively-measuring-the-similarity-of-marks</guid>
		<link>https://circleid.com/poststowards-a-quantitative-approach-for-objectively-measuring-the-similarity-of-marks</link>
		<description><![CDATA[Central to many intellectual property disputes is an assessment of the degree of similarity of two contested marks. A determination of similarity is fundamentally a subjective decision involving a range of relevant tests, which include consideration of the perception of the relevant consumer and recognition of the existence of degrees of similarity within a spectrum (from high to low). <a href="https://circleid.com/poststowards-a-quantitative-approach-for-objectively-measuring-the-similarity-of-marks">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Unregistered Gems Part 4: Other Brandable Domain-Name Styles (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsunregistered-gems-part-4-other-brandable-domain-name-styles</guid>
		<link>https://circleid.com/postsunregistered-gems-part-4-other-brandable-domain-name-styles</link>
		<description><![CDATA[In the fourth in this series of articles exploring how the application of appropriate tools, algorithms and analysis techniques can identify the existence of attractive, unregistered brandable domain names, I consider the prevalence of a few additional styles of name. <a href="https://circleid.com/postsunregistered-gems-part-4-other-brandable-domain-name-styles">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Unregistered Gems Part 3: Keeping Your -ize on the Prize (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20240916-unregistered-gems-part-3-keeping-your-ize-on-the-prize</guid>
		<link>https://circleid.com/posts20240916-unregistered-gems-part-3-keeping-your-ize-on-the-prize</link>
		<description><![CDATA[The previous two articles in this series have outlined techniques for 'mining' brandable domain names -- that is, domain names of potential interest to entities looking to launch a new brand name and associated website -- from the enormous dataset of unregistered names (determined via zone file analysis). The key element of the identification process is the implementation of filtering techniques to identify... <a href="https://circleid.com/posts20240916-unregistered-gems-part-3-keeping-your-ize-on-the-prize">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
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