ML-powered service helps companies match and link records stored across multiple applications, channels, and data stores

ActionIQ, Amazon Ads, Best Western, LiveRamp, Merkle, TransUnion, and Unified ID 2.0 among early customers and partners using AWS Entity Resolution

Amazon Web Services, Inc. , an Amazon.com company, today at AWS Summit New York announced the general availability of AWS Entity Resolution, an analytics service powered by machine learning (ML) that helps organizations easily analyze, match, and link related records stored across applications, channels, and data stores. AWS Entity Resolution uses customizable workflows that leverage rule-based and ML techniques to join related consumer, business, and product information. Business analysts and developers can improve the fidelity of their data quickly with built-in, preconfigured workflows, or customize the workflows to fit their organization's needs. With AWS Entity Resolution, businesses can better understand how their data is related, matched, and linked and develop deeper customer insights, clearer supply chain data for improved operations, more relevant marketing campaigns, and improved complex financial investment decisions. AWS also announced plans to add two entity resolution partner integrations with LiveRamp and TransUnion, as well as interoperability with the Unified ID 2.0 open source framework. These integrations will enable customers to more easily translate or enrich their own records while better protecting their information and reducing data movement. Customers can get started with AWS Entity Resolution by visiting aws.amazon.com/entity-resolution.

Records containing information about customers, businesses, and products (e.g., product SKUs, UPCs, and manufacturer codes for the same product) are increasingly siloed in hundreds of different applications, channels, and data stores across multiple organizations. For example, companies may want to link recent consumer interactions (e.g., ad clicks, cart abandonment, and purchases) with a unique ID, so they can better understand shopping patterns across applications (e.g., ad platforms, loyalty programs, and ecommerce systems). To link those records, companies typically use a combination of home-grown complex data pipelines and integrations with external partners, but reconciling records containing disparate or incomplete information is not easy. In order to build these workflows, organizations have to spend costly developer resources, invest months of development time, and continuously update their data pipelines. Adding ML for more accurate, predictive matching requires even more specialized expertise and additional development time to collect and normalize huge amounts of curated data, train and test matching models, and deploy the ML models. Instead of building their own analytics solutions, some companies rely on external solutions to match their records, but this approach also comes with challenges. Using readily available vendors requires building and maintaining custom data pipelines with each partner, copying sensitive data to external platforms with each additional integration—increasing the risk of data leakage—and constantly updating and validating those pipelines, which is costly and requires heavy lifting from both partners and customers. As a result of these challenges, many organizations aren’t able to easily match, link, and de-duplicate records and are often unable to fully harness the insights of their data.

With AWS Entity Resolution, companies can more easily match and link related records stored across multiple applications, channels, and data stores in minutes using flexible and configurable workflows that can be customized with a few clicks, even when records contain missing or incomplete information. In the AWS Management Console, a user can easily customize rule-based workflows for any kind of record-matching and accuracy needed, and can use preconfigured machine learning (ML) matching, without any expertise in entity resolution or ML models. With AWS Entity Resolution customers can set a higher threshold to obtain exact matches, or a lower threshold to match data across a broader set of results. For example, a financial services company can use AWS Entity Resolution to help prevent fraud by precisely matching transactions across a set of accounts, credit cards, and debit cards. Or an airline can use AWS Entity Resolution to analyze and link millions of consumer interactions across ticketing, airport lounges, customer support, and loyalty programs, even when some of the customer records contain partial information for a customer profile. Using AWS Entity Resolution, customers gain a deeper understanding of how data is linked to deliver new insights, enhance decision making, and improve customer experiences based on a unified view of their records.

“AWS customers across every industry rely on accurate data for daily decision making to drive better business outcomes. Today, information about customers, products, or businesses is often fragmented and stored across organizations, making it difficult for companies to gain valuable insights to improve customer experiences, optimize their supply chain, and improve decision making without developing custom data integration and rationalization solutions, which are expensive to build and maintain,” said Dilip Kumar, vice president of AWS Applications. “With a few clicks, AWS Entity Resolution makes it easy for organizations to match records and link workflows that are flexible, scalable, and easily connect to existing applications, enabling faster and more comprehensive views of their data to unlock its value and improve business outcomes. Together with the broad AWS portfolio of analytics solutions, AWS Entity Resolution makes matching and linking data from multiple data lakes and data stores easier, helping customers keep their data where it lives, and contributing to a zero-ETL future.”

Soon, AWS Entity Resolution will also add partner integrations with LiveRamp and TransUnion, as well as an integration with the open source advertising framework Unified ID 2.0, to make it easier for customers to translate or enrich their records with common industry identifiers. AWS Entity Resolution will make it easier to relate commonly used industry identifiers with their own data while minimizing movement of data outside of AWS and eliminating the need to write custom code to translate or enrich their records with identity providers. Customers who want to collaborate with partners in a data clean room such as AWS Clean Rooms can use the AWS Entity Resolution automated workflows to identify common data IDs across datasets and more easily connect records. Together, these integrations make it easier for companies to analyze data with business partners for use cases such as supply chain optimization or advertising measurement, while helping protect sensitive information.

AWS Entity Resolution is generally available today in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (London), with availability in additional AWS Regions coming soon.

ActionIQ is an enterprise composable customer data platform provider solving complex data problems like audience segmentation, customer360, real-time personalization, and journey orchestration—helping brands activate data anywhere in the customer experience. “We are excited to be an early customer of AWS Entity Resolution, as the service aligns with our vision to modernize the customer data landscape. ActionIQ's platform, powered by AWS technology, is dedicated to arming marketers with seamless access to customer data and enhancing the overall customer experience for enterprise organizations,” said Justin DeBrabant, chief product officer at ActionIQ. “During our early experimentation with AWS Entity Resolution, we were impressed with the flexibility to customize the workflows and how the service quickly hit industry-class benchmarks in terms of speed and match rates. AWS Entity Resolution will help marketers augment the value of their data and harness the ongoing transformation of the identity resolution and marketing technology space.”

Amazon Marketing Cloud (AMC) is a secure, privacy-safe clean room application from Amazon Ads that supports thousands of marketers with custom analytics. “Today it can be challenging for marketers to prepare and analyze the signals used within clean rooms without heavy lifting,” said Paula Despins, vice president of Ads Measurement at Amazon Ads. “Now Amazon Ads customers can use AWS Entity Resolution to simplify the process of preparing signals before analyzing them in Amazon Marketing Cloud, for use cases like cross-channel measurement or custom audience activation through Amazon DSP."

Best Western Hotels (BWH) is a global hotel brand with a mission to deliver trusted guest experiences. “Understanding our hotel guests and their preferences is incredibly important to delivering exceptional traveler experiences. To enable this, we must consolidate our data into a unified view of each guest, such that we can more effectively communicate, personalize, and provide support around the guest journey. However, consolidating disparate sets of data is challenging, as customer information is fragmented and lives across multiple repositories,” said Joseph W. Landucci, director of Technology Management at BWH. “We are excited to be one of the first customers to test this new service and to incorporate AWS Entity Resolution workflows into our Guest Profile process. AWS Entity Resolution allows us to easily match and link these disparate records to create a 360-degree view of our customers, enabling us to deliver a more personalized guest experience at every touch point, across our portfolio of hotels around the globe.”

LiveRamp is a leading data collaboration platform that helps businesses access, manage, activate and analyze data through a consistent identity framework. “Identity resolution is a foundational requirement for companies to unlock the full value of their data, a critical need for marketing teams, analysts, and model builders focused on customer insights,” said Noel McMichael, vice president of Commercial Cloud, LiveRamp. “LiveRamp’s partnership with AWS is focused on enabling privacy-centric identity workflows, and as a lead AWS Entity Resolution integration partner, we look forward to delivering even more value to companies in the cloud by advancing customer intelligence, partner collaboration, and better business outcomes enterprise-wide.”

Merkle specializes in the creation and delivery of unique and relevant customer experiences that help drive performance across all media and devices. “We have successfully used AWS Entity Resolution to perform both deterministic and machine-learning based matching of users across multiple datasets and with high match-rates, allowing us to enhance customer experiences with more complete views of their profiles,” said Oscar Wooley, head of Data Solutions, Merkle. “Moreover, we are now able to drastically improve the level of automation for our clients, allowing them to focus on data activation and insights rather than being caught-up on data preparation.”

TransUnion is a global information and insights company that makes trust possible by ensuring each person is reliably represented in the marketplace. “Despite continued investments in new technology and data, marketers still struggle to understand their customers and connect their interactions,” said Ryan Engle, TransUnion’s vice president of Identity Solutions and Platform Integrations for its TruAudience marketing solutions. “We look forward to applying the power of our solutions through AWS Entity Resolution to help brands and publishers leverage their data for insights, audience creation, and more while reducing data movement.”

Unified ID 2.0 is an open-source digital identity framework that aims to provide greater transparency and interoperability. “In the dynamic world of advertising, accurate data is a cornerstone for success, which is why we’re excited that AWS is expanding its capabilities through AWS Entity Resolution,” said Samantha Jacobson, chief strategy officer, The Trade Desk. “We look forward to integrating the Unified ID 2.0 framework with AWS Entity Resolution to enable AWS customers to expand their first-party data advertising tactics and deliver omni-channel campaigns across devices.”

Generative-AI powered platform built on mesh architecture accelerates security teams' ability to make risk-based decisions by 80%

Cyclops, a contextual cybersecurity search platform, today announced its emergence from stealth with $6.4M in seed funding. The funding round was led by Merlin Ventures, Insight Partners, Tal Ventures and toDay Ventures, with participation from CrowdStrike's strategic investment vehicle, CrowdStrike Falcon Fund. Celebrated cybersecurity veterans Mike Fey, CEO of Island.io; Dan Amiga, CTO of Island.io; Ofer Smadari, CEO of Torq; and Eyal Gruner, CEO of Cynet, also participated in the round. 

Founded by cybersecurity veterans Eran Zilberman (CEO), Elay Gueta (CTO) and Biran Franco (CPO), Cyclops offers an intuitive, user-friendly search engine powered by generative AI to answer critical and timely questions about the state of an organization's security posture, without the need for forensics or SIEM expertise.

"Today, organizations struggle to find answers to the most complex questions across the tools in their security stack, and get simple answers on business impact," said Eran Zilberman, Cyclops CEO. "With Cyclops, these days are over. Our main purpose is to empower security teams to proactively defend against cyber threats and prioritize addressing critical vulnerabilities with the necessary contextual data. The platform generates simple and clear responses just like Google Search or ChatGPT, providing relevant security information to help security teams make better, faster decisions."

For over a decade, the industry has seen organizations struggling to understand and manage security data, both on premises and cloud-based, across dozens of disparate and overlapping security tools – stifling productivity, visibility and the ability to prioritize security decisions and actions that matter most.

"One of the primary challenges faced by cybersecurity managers is staying abreast of the changes occurring in their work environment on a daily basis," said Shay Michel, Managing Partner, Merlin Ventures. "With the introduction of a new security search engine, they can now obtain clear answers and receive valuable recommendations. This technology has emerged as a top priority for most CISOs today, and we are proud of our investment in a company that we firmly believe will spearhead the market in this domain. Moreover, as a cyber fund, we actively seek out companies that disrupt existing categories, and Cyclops is poised to revolutionize how we approach and combat cyber-attacks."

The Cyclops platform is built on a cybersecurity mesh architecture (CSMA), and powered by generative AI to create an intuitive, user-friendly experience. Security teams can quickly and easily query Cyclops through a natural language search bar to gain meaningful insights about their environment and address vulnerabilities, security incidents and governance, risk and compliance scenarios. Cyclops enables security teams to get the most value out of their existing technology stack, improve mean time to detection (MTTD) and mean time to response (MTTR) by 80%, and help CISOs more effectively manage their cybersecurity strategy.

"Drawing inspiration from Google's groundbreaking revolution in contextual search over two decades ago, the Cyclops team is poised to make a similar seismic impact in the cybersecurity realm," remarked Mike Fey, investor and CEO of Island.io. "In a landscape plagued by alert fatigue and an ever-expanding array of security tools, Cyclops serves as the all-seeing eye, providing security teams with a unified and intuitive solution to tackle their most intricate questions. By harnessing the power of generative AI-driven search, Cyclops paves the way for a new era of data consumption and analysis, empowering security teams to navigate complexities with unprecedented efficiency and foresight."

Cyclops' founders have decades of experience building and delivering high-end cybersecurity products in the domains of SIEM, asset management and XDR, with particular expertise in product development, security strategy and sales. Cyclops CEO Eran Zilberman's extensive career has included roles such as regional sales director of RSA and general manager of the cyber security division at We Ankor. Elay Gueta, CTO of Cyclops, most recently served in the Office of the Prime Minister of Israel as an R&D group leader, served in the Israel Defense Forces as a security researcher and software developer, and led security research efforts at Cynet Security and Cellebrite. Cyclops CPO Biran Franco previously led product development and management at Axonius, Microsoft Defender for Endpoint, and SentinelOne, and also served as Company Commanding Officer in the Israel Defense Forces.

"To combat ever-increasing modern, sophisticated cyber attacks, organizations have turned to numerous discrete tools, inadvertently creating one of the most prominent security challenges – security silos," said Gur Talpaz, vice president corporate development and ventures at CrowdStrike. "We're excited to support Cyclops through CrowdStrike's Falcon Fund because of its innovative approach to enhancing organizational security. Cyclops' platform enables collaboration across tools and controls, eliminating silos, and drastically reducing individual security incidents."

The funding will help scale the company to meet demands from its growing customer base, hire more developers to continue product innovation and expand capabilities, and fuel its go-to-market strategy. Cyclops is generally available now and already serves existing customers in the fintech, insurance, hi-tech, and manufacturing verticals by significantly improving their efficiency around risk validation, vulnerability prioritization, posture management and compliance monitoring.

PlumResearch, a company specializing in measuring viewership on streaming platforms, announces the launch of its new audience sub-panel dedicated to Netflix users in the U.S. This sub-panel specifically targets the Spanish-speaking population, recognizing a need for more granular data from Hispanics, one of the fastest growing communities in the U.S. Given that predominantly Spanish-speaking Hispanics constitute 19% of the total US population, it's essential to measure their viewing habits separately. This approach allows businesses to identify and understand popular trends within this community more accurately.

"To effectively respond to the advanced needs of our clients, PlumResearch's new sub-panel will distinguish between English speakers and Spanish speakers within the U.S. Netflix audience. Our first step in this direction is to reach a Spanish-speaking audience," said Łukasz Jeziorski, CEO at PlumResearch. "Audiences from six Latin American countries and the U.S. Hispanic population may exhibit similar behaviors in terms of their viewing preferences, but treating the LATAM region as a whole is a sweeping generalization that oversimplifies things. Viewer behavior varies subtly between each country in LATAM. In the same vein, the Spanish-speaking population in the U.S. exhibits different viewing habits compared to the general U.S. population."

The company has carefully selected individuals who use Netflix with Spanish language settings or browse the web in Spanish. Due to the nature of streaming platforms, the sub-panel doesn't have to be built based on the demographics of subscribers. Preliminary research stemming from this sub-panel group allows PlumResearch to draw initial conclusions about viewership trends among Spanish speakers in the U.S.

Dun & Bradstreet Holdings, Inc. , a leading global provider of business decisioning data and analytics, announced today the appointment of Kirsten M. Kliphouse to the company’s board of directors, effective immediately.

Kliphouse brings to Dun & Bradstreet decades of leadership, extensive knowledge of technology, information security, and data privacy matters, as well as deep experience in delivering growth and innovation to several of the world’s largest global organizations, most recently Google Cloud Americas.

“Kirsten is a well-respected leader in the technology industry, and we are delighted to welcome her to Dun & Bradstreet’s board of directors,” said William P. Foley, II, Executive Chairman, Dun & Bradstreet. “Her deep technological expertise and significant leadership experiences at some of the biggest brands in the industry will convey valuable perspective to Dun & Bradstreet’s board.”

“I am excited to join Dun & Bradstreet’s talented board of directors,” said Kirsten Kliphouse. “I am eager to contribute my strategic and technological knowledge and expertise toward Dun & Bradstreet’s continued innovation, growth, and success and look forward to working with the board to further strengthen the company’s position in the market."

Background on Kirsten M. Kliphouse

She served as President of Google Cloud Americas, where she was responsible for leading and growing the sales, go-to-market, customer engagement, channel and services organizations, from March 2022 until her retirement in July 2023. At Google Cloud, she also served as the Global Chair of the Aspiring Leadership Academy and Women@GoogleCloud. Previously, Kliphouse served as President of the North American division of Google Cloud from July 2019 until March 2022. Kliphouse has also served as a director of Laboratory Corp. of America Holdings since October 2022.

Prior to Google Cloud, Kliphouse was Senior Vice President at Red Hat, Inc., a subsidiary of International Business Machines Corporation, from January 2018 to June 2019; Chief Executive Officer of Yardarm Technologies, a hardware and software solutions company, from February 2017 to December 2017; and founder and Chief Executive Officer of Scaling Ventures, a technology investment and advisory firm. Prior to her position at Yardarm, Kliphouse spent more than 25 years at Microsoft, Inc., where she was part of the executive leadership team and held numerous executive positions in Enterprise Sales, Original Equipment Manufacturers (OEM), Partner and Channels, and as Corporate Vice President of Customer Support, Success and Professional Services, during which she led more than 10,000 employees globally. Kliphouse is a recipient of the Microsoft Founders Award for her superior leadership and contributions to the business. Kliphouse holds a degree in Computer Information Sciences and Business from Muhlenberg College.

mondayDB 1.0 offers significant performance enhancements, particularly for large and complex boards

monday.com Ltd. , a work operating system (Work OS) where organizations of any size can create the tools and processes they need to manage every aspect of their work, announced mondayDB 1.0, the initial release of its brand-new infrastructure for the monday.com Work OS platform, has been completed and rolled out to all over 186,000 customers.

A new data infrastructure created and tailored to the multi-product platform's unique requirements, mondayDB was built to improve performance, scale, and stability for all customers. Its schema-less architecture provides unique flexibility and stability, allowing organizations of any size to build and manage complex and dynamic workflows, at scale, while enjoying exceptional technical performance.

mondayDB 1.0, the released foundational version, allows loading boards with thousands of items up to 5X faster, enabling customers to work with data-intensive and complex workflows. Additional releases are planned throughout the coming years, providing additional speed improvements, scale, and extended functionality.

“Our unique Work OS platform was built to be flexible and let our customers handle an ever-growing number of use cases and boards across our suite of products. As our customers continued to scale their workflows, we knew we needed a specialized solution that could handle the intricacies that come with being a multi-product company,” says Daniel Lereya, Chief Product and Technology Officer at monday.com. “Built from the ground up, mondayDB’s schema-less architecture will support a larger scale of boards and dashboards at speed, countless new use cases and custom workflows, as well as extended API and data manipulation capabilities. Shifting our infrastructure to mondayDB was a herculean effort and our team successfully mitigated any and all risks from the process, all while delivering mondayDB 1.0 ahead of schedule. This is just the beginning for mondayDB and we’re confident it will enable many more opportunities in the years ahead.”

mondayDB’s redefined data infrastructure will enable any organization to achieve its business goals, with its key capabilities including:

• Major performance improvements: With mondayDB's ability to reach high performance by scaling compute resources, customers will experience improved speed across billions of boards to support their growth and most complex workflows.
• Elasticity at scale: With a schemaless architecture that can store, retrieve, and query any data type, mondayDB supports customers’ unique needs and adapts to the way they work best as they continue to add users, data tables, and query volume.
• Build any software for any workflow: mondayDB extends the monday.com open API and provides unique data analysis capabilities, allowing developers to build any app on top of the monday.com platform.

mondayDB 1.0 has successfully set the necessary infrastructure to ensure seamless and optimized rollouts of upcoming releases. The company will begin its rollout of mondayDB 1.1 by the end of this year, making it easier for customers working with large reports to share and aggregate data from a variety of different boards. In the first half of 2024, mondayDB will provide increased scale for the entirety of the Work OS platform with the release of mondayDB 2.0.

New offering uses deep learning to enrich B2C and B2B product catalog data — saving ecommerce teams time and increasing conversions, engagement and revenue

 Constructor, the leading AI-powered product discovery and search platform for enterprise ecommerce companies, today announced Attribute Enrichment, a solution that improves online product catalog quality using deep learning and machine vision, both forms of AI. Attribute Enrichment combines raw product catalog data with buyers' behavioral clickstream data across touchpoints — correcting and auto-enriching product attributes to help buyers discover the items they'll find most attractive, while improving personalization across their customer journey.

Attribute Enrichment addresses one of the most common pain points today among both ecommerce companies and their consumers. For ecommerce companies, needing to work around bad or missing product data is a problem as old as ecommerce itself, with site merchants either forgoing that data altogether or needing to rely on poorly tagged data from third parties. For B2C shoppers and B2B buyers, this leads to time-consuming and frustrating product discovery and search experiences. For instance, less than 3 in 10 buyers say their product-finding experiences are "quick," and 62% will leave an ecommerce site if they can't find what they're looking for.

Ecommerce companies seek to remove this friction and provide visitors with highly contextual, hyper-relevant experiences that increase engagement and conversions. Consistent, comprehensive, well-categorized product data helps power these experiences… but getting it is often easier said than done. Relying on vendor attributes — the product information and categorization from third-party suppliers — is a gamble that often leaves "holes" hindering product discovery and personalization. And do-it-yourself efforts among ecommerce teams — including manual enrichment, categorization, retagging and harmonizing third-party data into a consistent catalog — is time-intensive and can be error-prone.

Enter: AI-powered Attribute Enrichment from Constructor. The solution automatically identifies and enriches key product attributes to optimize product discoverability, unburden ecommerce teams and deliver business outcomes that matter. The enrichment functionality is available to optimize site visitors' search results, browse experiences, product recommendations, product finders and more.

How it works
Constructor's Attribute Enrichment uses deep learning techniques: that is, training AI models to identify products, categorize them and generate new product attributes to enrich product data and increase discoverability. The newly enriched data is delivered straight to ecommerce companies' websites, without any effort on their behalf — giving visitors immediate access to better and more complete product information that drives purchases.

Attribute Enrichment provides ecommerce companies — including B2C retailers, D2C brands, distributors, manufacturers, wholesalers and other B2B organizations — with:

• Out-of-the-box enrichment capabilities to address common retail use cases, including category enrichment, color enrichment, style enrichment, flavor enrichment and many more. For example, if a shopper is searching for "Spanish red wine" on a grocery or beverage site, Attribute Enrichment can augment existing product catalog data to populate flavor profiles and regions to help the shopper better find what they're looking for. And as an example of category enrichment, an impact driver on a construction supply site might be classified in the "tools" category. Using everything it knows about the item and others like it, Attribute Enrichment can automatically associate additional categories (e.g., "power tools," "drills and drivers," "cordless drills and drivers") with the product, making it easier for buyers to find it as they search, browse and filter.
• Custom attribute enrichment capabilities tailored to ecommerce companies' needs and catalogs.
• Personalized enrichment experiences, predicting attributes that are best aligned to buyers' affinities, such as the style of dress they like, whether they prefer organic products, whether they prefer scented or unscented cleaning products, whether they typically buy cat food or dog food, and many more.
• The ability to automatically generate and associate new attributes with products, based on trends in customer behavior (e.g., if searches for "keto" or "vegan" become prevalent, tying those attributes to various items).
• Reporting capabilities, including reports that display the most important attributes for buyers and calculate Attribute Enrichment ROI.

Benefits of Attribute Enrichment
By incorporating Attribute Enrichment into their product discovery strategies, ecommerce companies can:

• Increase revenue per visitor and average order value by displaying more attractive and strategic products to buyers.
• Improve the customer experience and increase customer satisfaction, delivering experiences that enable buyers to find the right products faster and easier.
• Increase consistency in item classification and categorization across complex and extensive product catalogs.
• Optimize product discoverability and relevance.
• Increase operational efficiency by automating previously manual tasks and harmonizing supplier product data to enable field sales teams, customer support teams and distributors.
• Improve search engine optimization (SEO) through accurate and more complete product descriptions, contributing to higher search engine rankings and lower bounce rates.
• Extend the value of their product data by sharing the newly enriched data with their upstream systems and their other partners for use in improving discoverability of products in third-party marketplaces, improving ad placement and more.

"Constructor helps ecommerce companies turn their websites and apps into personal shopping assistants, and our new Attribute Enrichment solution is an important part of this," said Eli Finkelshteyn, CEO, Constructor. "For too long, an excuse among search and discovery vendors for bad results was that the data they were given was bad. Attribute Enrichment aims to take away that excuse. We want to guarantee we'll give the most compelling results to our customers and their shoppers, even in cases where their product catalogs aren't perfect. Our goal is to not give excuses for poor results, but to give solutions. And Attribute Enrichment is just that.

"Using modern data science methods like machine vision, mixed with customer feedback via clickstream and behavioral data, we're able to generate and auto-enrich product attributes, categories and metadata, all at the speed of AI. It's a win-win for both buyers and ecommerce companies alike: fueling the best product discovery experiences for buyers, while driving sales and giving ecommerce teams time back in their days to focus on strategic initiatives."

Agnidipta Sarkar, former Group CISO at Biocon, joins ColorTokens as VP CISO Advisory to support the company's growth in the Zero Trust security market

ColorTokens Inc., a leading Unified Zero Trust Platform provider, announced today that Agnidipta Sarkar has started as Vice President, CISO Advisory.

In his new role, Agni will provide strategic direction for ColorTokens as it continues to innovate and expand in the field of Zero Trust. ColorTokens' solutions are used by global enterprises to address cybersecurity issues with confidence by automating, simplifying, and accelerating their Zero Trust framework. It is the industry's only platform that offers comprehensive Zero Trust cybersecurity coverage across cloud, containers, micro-services, hybrid, on-premise, data center, and remote users—powered by ColorToken's innovation, agility, and execution. 

With over three decades of experience in cybersecurity, crisis management, privacy protection, and risk optimization, Agni brings a wealth of knowledge to ColorTokens. In the past, he has served in many technical and executive leadership positions, most recently as the Group Chief Information Security Officer at Biocon, an Indian biopharmaceutical company that specializes in healthcare innovation and is transforming digitally. In his role at Biocon, Agni ensured that the Group's digital transformation program was resilient at every step of the journey by continuously adapting its cybersecurity capabilities and posture with applicable threats and risks. Agni also has auditing experience and continues to contribute to standardization through various panels on international standards bodies like the ISO, CSA, NIST, and BCI.

"Agni is a well-respected industry leader in cybersecurity with a fresh perspective on how to optimize digital resiliency through structured approaches like Zero Trust," said Rajesh Khazanchi, CEO and Co-Founder at ColorTokens. "We couldn't be happier that he is joining our team to provide strategic direction as we continue innovating in the Zero Trust security market."

Agni believes in the mantra "do what you can, with what you have, where you are." Agni's hallmark has always been to ensure a steady balance between enabling the economic objectives of the digital business and investing in the control objectives that can build abilities to defend, withstand, and recover from cyber threats. "A disruptive CISO always wears two hats—one as a business leader with razor-sharp focus on changes essential for digital transformation, and the other as a technology evangelist who can direct cybersecurity strategies to leverage tools, techniques, and procedures to achieve those business goals," maintains Agni. Before Biocon, Agni worked with some of the top global technology companies such as DXC Technologies, HPE, HP, Wipro, and HCL.

Upon joining ColorTokens, Agni said, "Zero Trust is a highly misunderstood subject in the industry, yet it needs to be at the core of every cybersecurity program. I am thrilled to join ColorTokens and leverage the company's leadership position to learn and evangelize every powerful Zero Trust cybersecurity story from our customers, partners, and practitioners to help carve out context-specific programs and help the world adopt Zero Trust. There is a huge need to have zero trust ambassadors and ColorTokens is the perfect platform to launch it as a community-driven program."