--- title: "Quality" url: "https://www.cint.com/data-quality-approach/" markdown_url: "https://www.cint.com/data-quality-approach.md" date_published: "2024-10-14T10:48:26-04:00" date_modified: "2026-10-12T05:55:02-04:00" author: "Indigo Tree" featured_image: "https://www.cint.com/wp-content/uploads/2024/10/Runner_SquareOverlay.jpg" featured_image_alt: "Aerial view of runner looking up with purple square shape overlaid" description: "Quality Confidently source insights from real people As the world’s largest research marketplace, connecting real people to real questions is the cornerstone of our offering. Bad data quality hurts.…" --- # Quality Quality ## Confidently source insights from real people As the world’s largest research marketplace, connecting real people to real questions is the cornerstone of our offering. Bad data quality hurts. Receiving poor-quality market research data is not only frustrating, but it has real implications for everyone involved in the process. Potential consequences include the limiting of research insights, additional costs, and a loss of trust. Cint is successfully taking decisive action against fraudulent actors who contribute to poor-quality data, seeking to exploit our platform and the entire online research industry at large through survey fraud. ### Cint puts security and quality first to provide researchers with data they can trust. ![Aerial top-down view of pedestrians walking across a zebra crosswalk casting long shadows, overlaid with a large purple gradient circle in the top-left corner.](https://www.cint.com/wp-content/uploads/2025/04/quality-page-banner-1.png) [Our approach](#our-approach) [How we do it](#how-we-do-it) [Credentials](#credentials) [Testimonials](#testimonials) Our approach # We detect and remove fraudulent activity so that you receive the answers that count It’s crucial to recognize the importance of fighting AI-driven research fraud with innovative technological solutions. By prioritizing security, integrity, and collaboration, we can not only protect our own business but also the industry at large. We do this by pairing advanced tech solutions with dedicated teams to ensure that your online survey responses come from real people. **Here’s how it works:** ### Advanced Tech Our AI-powered Trust Score combined with proprietary fraud fighting tech solutions — such as Server-to-Server — are reinforced by third party fraud detection solutions to remove fraud from the sample workflow. ### Dedicated Teams Our dedicated Trust and Safety experts across product, engineering, and operational teams develop tech and operational solutions to eliminate bad actors. ### Real People This powerful combination ensures real people answer real surveys. ### Quality delivered through tech and humans Read more about our multi-faceted approach to delivering real responses to your online surveys: ![](https://www.cint.com/wp-content/uploads/2025/04/Secure_lock-Purple.svg) ### Secure End-to-end encryption safeguards our sample workflow. Our server-to-server solutions guarantee secure survey entries, effectively eliminating ghost completions. We also offer a comprehensive set of technology-driven solutions to ensure the integrity of both respondents and surveys. ![](https://www.cint.com/wp-content/uploads/2025/04/Predict_chart-scatter-Purple.svg) ### Predict Trust Score proactively predicts fraud before it happens, employing AI to identify potentially fraudulent participants, and machine learning to continually evolve. ![](https://www.cint.com/wp-content/uploads/2025/04/Protect_shield-check-Purple.svg) ### Protect Cross-functional teams spanning product, engineering, and operations ensure the integrity of our market research platform through ongoing innovation, strategic program deployment, and strict policy enforcement. ![](https://www.cint.com/wp-content/uploads/2025/04/Partner_intersect.svg) ### Partner Cint uses top-tier third-party solutions that work seamlessly with our data quality protocols. Our ever-changing array of third-party vendors assist Cint in preventing attacks from automated scripted bot attacks, deduplication, fraudulent VPN usage and IP addresses. ## Our strategy is anchored by five key data quality pillars, supported by continuous assessment Our comprehensive quality strategy encompasses all areas of our operations and products, built on five clearly defined data quality pillars. A weakness in any one pillar can affect the overall quality. To support each pillar, we have established programs that allow us to take both proactive and reactive measures to maintain and improve data quality standards. Cint evaluates performance on this front across a series of absolute and relative metrics. Discover more about our approach below. ![Dynamic](https://www.cint.com/wp-content/uploads/2025/04/SupplierQuality.jpg) ## Cint’s five pillars of quality: ## Respondent quality We define high-quality respondents as those who are real, unique, representative, and engaged. ## Supplier quality We define high-quality suppliers as those who provide high-quality respondents (i.e. real, unique and representative). ## Buyer quality We define high-quality buyers as those whose online surveys provide a good experience for respondents and who are taking the necessary steps to ensure quality on their end. ## Operational/service quality We define high operational quality as a means of understanding our delivery of excellent services through a combination of critical measures. ## Product quality We commit to designing and selecting best in class products to prevent fraudulent activity and ensure the integrity of our market research platform. ![](https://www.cint.com/wp-content/uploads/2026/10/Badge-QualityTech.svg) Certified by CIRQ and aligned with ESOMAR standards, our dedicated data security specialists use advanced, adaptive machine learning to proactively eliminate fraud before it impacts your research. How we do it ## Combining proprietary and third-party security solutions Researchers depend on Cint to connect them to authentic respondents to collect high-quality consumer insights. We safeguard the Cint Exchange ecosystem by proactively developing industry-leading, AI and machine learning data security protocols to combat data fraud. Security, safety, and privacy are at the heart of our organization. As the market research industry at large adapts to changes and challenges within the sector, so do we. Cint’s dedicated Trust and Safety team is backed by decades of market research industry and engineering expertise to proactively address survey fraud. ![Aerial top-down view of colleagues working around a sweeping curved wooden desk in a modern office, with a man handing documents to a seated coworker.](https://www.cint.com/wp-content/uploads/2025/03/iStock-1268902120-copy.png) ![](https://www.cint.com/wp-content/uploads/2025/04/Secure-Survey.svg) ### Internal Programs Cint partners with underperforming suppliers to improve reconciliation rates and panel security, monitoring buyer reversal behaviors and offering guidance on best practices and improvement opportunities. Specialists analyze project-level quality issues to identify root causes of data fraud and implement corrective actions. Cint also continually updates its profiling question library to ensure researchers have access to high-quality questions. ![](https://www.cint.com/wp-content/uploads/2025/04/Third-Party.svg) ### Third-party solutions Cint leverages premium third-party solutions that integrate effortlessly with our data quality protocols. Our constantly evolving network of external vendors helps Cint safeguard against automated bot attacks, deduplication issues, fraudulent VPN usage, and suspicious IP addresses. ![](https://www.cint.com/wp-content/uploads/2025/04/Proprietary-copy.svg) ### Proprietary tech Cint is at the forefront of developing automated data integrity checks using complex algorithms and always learning AI through Trust Score to identify and stop both auto-generated bot attacks and human fraud at scale. We also offer a dedicated server-to-server API connection that securely connects sample buyers directly to the Cint Exchange helping to eliminate ghost completes and link manipulation. ## Cint Trust Score predicts fraud before it happens Cint’s proprietary Trust Score is the centerpiece of our global data quality commitment to deliver genuine insights and survey data from real people. The Cint Trust Score model is powered by AI and machine learning, grading respondents each time they enter the survey workflow, performing survey data quality checks. Designed to proactively predict when a session may result in a negative reconciliation it is powered by machine learning. The model is vigilant, adaptive, and ready to consume data signals to adjust to new patterns in fraudulent activity. The Trust Score model uses artificial intelligence to grade survey participants based on a complex set of criteria, ensuring that potentially fraudulent behavior is flagged promptly, with the survey session in question being terminated with immediate effect. Its inherent learning capability means it can adapt to the ever-evolving landscape of survey data quality. ## Proactive prediction Trust Score predicts when a session may result in a reversal, allowing for timely intervention and market research fraud risk mitigation. ## Vigilant and adaptive Trust Score continuously tracks trends and patterns, enabling Cint to leverage machine learning for regular updates to the model. ## Continuous monitoring Trust Score is continuously monitoring the impact and effectiveness across supplier, buyer, and country levels, providing valuable market research data to improve strategies and decision-making. ## Country level thresholds Trust Score balances fraudster catch rate with false positives, adjusted based on country, ensuring optimal accuracy and efficiency in detection. ![Dynamic](https://www.cint.com/wp-content/uploads/2025/04/ProductQuality.jpg) Credentials ## Quality validated by leading industry bodies Cint is proud to be linked with the following global organisations that demonstrate our commitment to industry standards and excellence. ![Global Data Quality logo](https://www.cint.com/wp-content/uploads/2025/04/social_backup.jpg) ## Global Data Quality initiative We are a proud and active member of the [Global Data Quality initiative](https://www.globaldataquality.org/) involved in a range of working groups to align on an industry-wide solution to our industry-wide problem. ![ESOMAR logo](https://www.cint.com/wp-content/uploads/2025/04/ESOMAR-logo.png) ## ESOMAR We are committed to being a transparent sample provider. Take a look at our responses to [ESOMAR questions.](https://www.cint.com/esomar/) ![CIRQ, certification institute for research quality](https://www.cint.com/wp-content/uploads/2024/10/CIRQ-certification-institute-for-research-quality.svg) ## Certification Institute for Research Quality (CIRQ) **Global HQ** CIRQ, a subsidiary of the Insights Association, was established in 2009 to provide assessment and certification services to marketing research, insights and data analytics firms seeking certification to ISO and other industry standards. A 501(c)(6) non-profit entity, CIRQ is in compliance with all ISO requirements for certification bodies and is managed with oversight from an independent Board of Directors and an annual review by external authorities on ISO requirements. [CIRQ Certificate 20252 Cint Australia](https://www.cint.com/wp-content/uploads/2024/10/tc-7001-15-certificate-of-compliance-iso20252-cint-exp-2026.pdf) [www.cirq.org](http://www.cirq.org) Testimonials ## Here’s what Cint customers have to say Don’t just take out word for it. Here’s what some of Cint’s valued customers say about our ongoing efforts to maintain the highest standard of quality possible. ![Headshot o James "JT" Turner. Founder and CEO of Delinate](https://www.cint.com/wp-content/uploads/2026/10/Turner-JamesJT-Headshot2.jpg) “The reasons we selected Cint are global coverage, a shared vision in technology with a great roadmap for improvements, **but also the commitment to quality.”** James “JT” Turner Founder and CEO, Delineate ![Logo for Delinate](https://www.cint.com/wp-content/uploads/2026/10/Delinate-Logo.png) ![Thami Ndlovu Headshot. Founder of Datavise](https://www.cint.com/wp-content/uploads/2026/10/ThamiNdlovu-Headshot.jpg) “We are interested in investing further in data quality and insights. **We want to use Cint's robust quality control mechanisms** and analytics tools to help us with that.” Thami Ndlovu Founder, Datavise ![](https://www.cint.com/wp-content/uploads/2025/06/Datavise-logo.png) ![Mark Wiser Headshot. Founder of Wiser insights group](https://www.cint.com/wp-content/uploads/2026/05/MarkWiser-Headshot.jpg) “One of the things that I like with Cint and I'm confident about going forward in the future is that Cint will be staying **a certain number of steps ahead of this bad part of the industry and helping to keep our data as accurate and clean as possible.”** Mark Wiser Founder, Wiser Insights Group ![Wiser insights group logo](https://www.cint.com/wp-content/uploads/2025/11/WiserInsights.png) ![Headshot of Nichola Quail. Founder of Insights Exchange](https://www.cint.com/wp-content/uploads/2026/10/NicholaQuail-Headshot.jpg) “The US is a tricky market and a big market to be able to reach and **having access to a good quality, far-reaching panel that we can tap into from Australia is fantastic.** It makes things so much easier on our end.” Nichola Quail Founder, Insights Exchange ![Insights exchange Logo](https://www.cint.com/wp-content/uploads/2025/06/insights-exchange.png) ![Headshot of Karen Nelson-Field. Founder of Amplified](https://www.cint.com/wp-content/uploads/2026/10/Karen-Nelson-Field-headshot.jpg) “It's really important that the quality of the data that we collect is absolutely best in class, and the most rigorous. **And that's what Cint helps us with.”** Karen Nelson-Field Founder, Amplified ![Amplified Logo](https://www.cint.com/wp-content/uploads/2026/05/Amplified-Logo.png) Resources ## Read more about Cint's commitment to quality At Cint we use our research technology platform to match your research to the right people, gathering real data to meet your business needs. Read our latest customer stories, press releases, blog posts and much more. - ![A repeating pattern of 3D padlocks on a textured purple background, alternating between open grey locks and closed bright purple locks with light blue shackles, representing Cint's SOC 2 Type 1 compliance achievement and enhanced data security standards.](https://www.cint.com/wp-content/uploads/2026/09/SOC2-Type1-BlogCover.jpg) September 10, 2026 ## [Raising the bar for data quality: Cint achieves SOC 2 Type I Compliance with zero exceptions](https://www.cint.com/blog/raising-the-bar-for-data-quality/) Discover how Cint’s zero-exception SOC 2 Type I audit validates our security controls to stop bad actors and safeguard your data. [Raising the bar for data quality: Cint achieves SOC 2 Type I Compliance with zero exceptions](https://www.cint.com/blog/raising-the-bar-for-data-quality/ "Raising the bar for data quality: Cint achieves SOC 2 Type I Compliance with zero exceptions") - ![Conceptual 3D graphic representing AI-driven dynamic fraud detection, continuous multi-layered defense architecture, and respondent data verification in market research technology platforms.](https://www.cint.com/wp-content/uploads/2026/09/GettyImages-2227030139_thumbnail.jpg) September 2, 2026 ## [Why market research deserves dynamic AI defenses](https://www.cint.com/blog/why-market-research-deserves-dynamic-ai-defenses/) Discover why data quality requires a continuous, multi-layered defense system and not a biannual score update. [Why market research deserves dynamic AI defenses](https://www.cint.com/blog/why-market-research-deserves-dynamic-ai-defenses/ "Why market research deserves dynamic AI defenses") - ![An isometric cluster of 3D circular smiley face icons in shades of pink, purple, and teal on a deep purple background, symbolizing a positive, high-quality user experience for survey respondents.](https://www.cint.com/wp-content/uploads/2026/06/ReclaimingTheRespondentExperience-Blog-cover.jpg) June 12, 2026 ## [The importance of reclaiming the respondent experience](https://www.cint.com/blog/the-importance-of-reclaiming-the-respondent-experience/) Jimmy Snyder explores how to keep research human and empathetic in an age of AI. [The importance of reclaiming the respondent experience](https://www.cint.com/blog/the-importance-of-reclaiming-the-respondent-experience/ "The importance of reclaiming the respondent experience") - ![A close-up portrait of a Black woman looking forward, viewed through a blurred circular lens or tube on a bright magenta background, symbolizing the process of focusing on and verifying real human respondents in market research.](https://www.cint.com/wp-content/uploads/2026/05/VerifyingTheRespondent-BlogCover.jpg) May 27, 2026 ## [Why verifying the respondent is the future of data integrity](https://www.cint.com/blog/why-verifying-the-respondent-is-the-future-of-data-integrity/) Learn how Cint's dual-pronged approach to data integrity is helping researchers get back to what matters most: confidence in their data. [Why verifying the respondent is the future of data integrity](https://www.cint.com/blog/why-verifying-the-respondent-is-the-future-of-data-integrity/ "Why verifying the respondent is the future of data integrity") - ![A crowd of white figures forming an infinity sign on a purple background, symbolizing endless collaboration, unity, and a collective community.](https://www.cint.com/wp-content/uploads/2026/02/BlogCover-Collective.jpg) March 5, 2026 ## [The Quality Check: Why data quality is a shared responsibility](https://www.cint.com/blog/quality-check-shared-responsibilities/) This episode of The Quality Check explores how everyone has a role to play when it comes to maintaining data quality standards. [The Quality Check: Why data quality is a shared responsibility](https://www.cint.com/blog/quality-check-shared-responsibilities/ "The Quality Check: Why data quality is a shared responsibility") - ![Five architectural pillars on a purple background representing the core foundations or key principles of quality.](https://www.cint.com/wp-content/uploads/2026/02/BlogCover-5Pillars.jpg) March 5, 2026 ## [The Quality Check: Cint’s five pillars of quality](https://www.cint.com/blog/quality-check-five-pillars-of-quality/) Learn more about how Cint evaluates different aspects of data quality. [The Quality Check: Cint’s five pillars of quality](https://www.cint.com/blog/quality-check-five-pillars-of-quality/ "The Quality Check: Cint’s five pillars of quality") - ![Five ladders on a purple background representing progress and success, with the longest ladder reaching a gold goal or sun.](https://www.cint.com/wp-content/uploads/2026/03/BlogCover-5Ladders-3.jpg) March 5, 2026 ## [The Quality Check: Five top tips for suppliers](https://www.cint.com/blog/quality-check-supplier-tips/) Get expert advice on supply-side quality issues with this episode of The Quality Check. [The Quality Check: Five top tips for suppliers](https://www.cint.com/blog/quality-check-supplier-tips/ "The Quality Check: Five top tips for suppliers") - ![Five vintage-style Edison light bulbs with glowing filaments hanging against a solid purple background.](https://www.cint.com/wp-content/uploads/2026/03/BlogCover-5bulbs.jpg) March 5, 2026 ## [The Quality Check: Five top tips for buyers](https://www.cint.com/blog/quality-check-tips-for-buyers/) Get the lowdown on five tips for buyers looking to ensure and maintain high standards of data quality. [The Quality Check: Five top tips for buyers](https://www.cint.com/blog/quality-check-tips-for-buyers/ "The Quality Check: Five top tips for buyers") - ![](https://www.cint.com/wp-content/uploads/2026/02/QualityFeedbackloop-Image.jpg) February 12, 2026 ## [Introducing the Global Data Quality feedback loop](https://www.cint.com/blog/introducing-the-global-data-quality-feedback-loop/) Exploring a new framework for collective industry standards around data quality. [Introducing the Global Data Quality feedback loop](https://www.cint.com/blog/introducing-the-global-data-quality-feedback-loop/ "Introducing the Global Data Quality feedback loop") - ![](https://www.cint.com/wp-content/uploads/2025/08/GettyImages-1441650535_thumbnail.jpg) January 16, 2026 ## [What is data quality and why is it crucial for business success?](https://www.cint.com/blog/what-is-data-quality-and-why-is-it-crucial-for-business-success/) We explore quality and explain why clean, reliable data is the foundation of trustworthy insights and smart business decisions. [What is data quality and why is it crucial for business success?](https://www.cint.com/blog/what-is-data-quality-and-why-is-it-crucial-for-business-success/ "What is data quality and why is it crucial for business success?") - ![](https://www.cint.com/wp-content/uploads/2025/12/GhostCompletesPast-BlogCover.jpg) December 23, 2025 ## [The ghost completes of past, present, and future](https://www.cint.com/blog/the-ghost-completes-of-past-present-and-future/) Get an insight into how Cint has adapted to one of the biggest problems facing the market research industry. [The ghost completes of past, present, and future](https://www.cint.com/blog/the-ghost-completes-of-past-present-and-future/ "The ghost completes of past, present, and future") - ![](https://www.cint.com/wp-content/uploads/2025/11/ThankfulQuality-BlogCover.jpg) November 27, 2025 ## [Quality-related reasons to be thankful ](https://www.cint.com/blog/data-quality-review-2025/) Looking back at our efforts to combat fraud in 2025. [Quality-related reasons to be thankful ](https://www.cint.com/blog/data-quality-review-2025/ "Quality-related reasons to be thankful ") - ![Patrick Comer, CEO of Cint participates in a panel discussion at this years ESOMAR conference](https://www.cint.com/wp-content/uploads/2025/10/Esomar-Blog-Cover.jpg) October 17, 2025 ## [Discussing data quality at ESOMAR Congress 2025](https://www.cint.com/blog/esomar-2025-data-quality/) Get the low down on what Cint CEO Patrick Comer and VP of Trust and Safety Jimmy Snyder had to say about combating fraud while protecting the respondent experience. [Discussing data quality at ESOMAR Congress 2025](https://www.cint.com/blog/esomar-2025-data-quality/ "Discussing data quality at ESOMAR Congress 2025") - ![](https://www.cint.com/wp-content/uploads/2025/09/iStock-2154151768_thumbnail.jpg) September 26, 2025 ## [“Too good to be true”: The illusion of quality in the age of AI-generated survey responses](https://www.cint.com/blog/too-good-to-be-true-the-illusion-of-quality-in-the-age-of-ai-generated-survey-responses/) Cint’s Jimmy Snyder explores how we’re entering an era where survey responses may be polished and articulate — but not necessarily real. [“Too good to be true”: The illusion of quality in the age of AI-generated survey responses](https://www.cint.com/blog/too-good-to-be-true-the-illusion-of-quality-in-the-age-of-ai-generated-survey-responses/ "“Too good to be true”: The illusion of quality in the age of AI-generated survey responses") - ![](https://www.cint.com/wp-content/uploads/2025/09/iStock-1843067485-thumbnail.jpg) September 22, 2025 ## [Data quality drives return on investment — here’s how](https://www.cint.com/blog/data-quality-return-on-investment/) Learn how reliable, accurate survey data leads to stronger decision-making, better targeting, and optimized resource allocation for effective insights. [Data quality drives return on investment — here’s how](https://www.cint.com/blog/data-quality-return-on-investment/ "Data quality drives return on investment — here’s how") - ![](https://www.cint.com/wp-content/uploads/2025/09/iStock-1618103025_thumbnail.jpg) September 19, 2025 ## [Why poor quality data poses risks in market research](https://www.cint.com/blog/why-poor-quality-data-poses-risks-in-market-research/) Understanding the negative impacts of poor quality data on the research industry. [Why poor quality data poses risks in market research](https://www.cint.com/blog/why-poor-quality-data-poses-risks-in-market-research/ "Why poor quality data poses risks in market research") - ![](https://www.cint.com/wp-content/uploads/2025/08/AILandscape-BLog.jpg) August 15, 2025 ## [Exploring AI, ethics, and data quality](https://www.cint.com/blog/exploring-ai-ethics-and-data-quality/) AI isn’t going anywhere, so how do researchers incorporate it ethically and with quality in mind? [Exploring AI, ethics, and data quality](https://www.cint.com/blog/exploring-ai-ethics-and-data-quality/ "Exploring AI, ethics, and data quality") - ![](https://www.cint.com/wp-content/uploads/2025/07/BedsheetGhost-intheCrowd.jpg) July 24, 2025 ## [What is a ghost complete?](https://www.cint.com/blog/what-is-a-ghost-complete/) Learn what ghost completes are, why they’re an issue, and what Cint is doing to combat them. [What is a ghost complete?](https://www.cint.com/blog/what-is-a-ghost-complete/ "What is a ghost complete?") - ![](https://www.cint.com/wp-content/uploads/2025/06/VelocityAttack-Cover-Punch3.jpg) June 4, 2025 ## [What is a velocity attack?](https://www.cint.com/blog/what-is-a-velocity-attack/) Learn what velocity attacks are, why they’re an issue, and what Cint is doing to combat them. [What is a velocity attack?](https://www.cint.com/blog/what-is-a-velocity-attack/ "What is a velocity attack?") - ![](https://www.cint.com/wp-content/uploads/2025/05/ClickFarmer-Cover.jpg) June 4, 2025 ## [What is a click farm?](https://www.cint.com/blog/what-is-a-click-farm/) Understanding what click farms are, how they operate, and how they can be combated. [What is a click farm?](https://www.cint.com/blog/what-is-a-click-farm/ "What is a click farm?") - ![](https://www.cint.com/wp-content/uploads/2025/05/Aerial-Chess.jpg) May 2, 2025 ## [Effective strategies for combatting fraud in the Restech industry](https://www.cint.com/blog/effective-strategies-for-combatting-fraud-in-the-restech-industry/) Fraud is an ongoing issue in the research and insights space. Here’s how buyers and suppliers can fight back. [Effective strategies for combatting fraud in the Restech industry](https://www.cint.com/blog/effective-strategies-for-combatting-fraud-in-the-restech-industry/ "Effective strategies for combatting fraud in the Restech industry") - ![](https://www.cint.com/wp-content/uploads/2025/03/AdobeStock_618032077_adj_v1.png) March 12, 2025 ## [Why is data quality so important when it comes to programmatic research?](https://www.cint.com/blog/why-is-data-quality-so-important-when-it-comes-to-programmatic-research/) Two experts explain why when you’re working with programmatic research, quality is key. [Why is data quality so important when it comes to programmatic research?](https://www.cint.com/blog/why-is-data-quality-so-important-when-it-comes-to-programmatic-research/ "Why is data quality so important when it comes to programmatic research?") - ![](https://www.cint.com/wp-content/uploads/2025/01/BotsVsBots-1.jpg) February 7, 2025 ## [Fighting bots with bots: how to combat AI-driven fraud](https://www.cint.com/blog/fighting-bots-with-bots-the-importance-of-combating-ai-driven-fraud-with-advanced-technology/) Cint’s Jimmy Snyder, Vice President of Trust and Safety, and Shelby Downes, Senior Program Manager, discuss a range of approaches for taking action against the bots. [Fighting bots with bots: how to combat AI-driven fraud](https://www.cint.com/blog/fighting-bots-with-bots-the-importance-of-combating-ai-driven-fraud-with-advanced-technology/ "Fighting bots with bots: how to combat AI-driven fraud") - ![](https://www.cint.com/wp-content/uploads/2024/10/AdobeStock_738868914_adj.jpg) October 29, 2024 ## [Inside the thinking AI brain](https://www.cint.com/blog/cint-trust-score-inside-the-thinking-ai-brain/) Cint’s experts break down the importance of our Trust Score model [Inside the thinking AI brain](https://www.cint.com/blog/cint-trust-score-inside-the-thinking-ai-brain/ "Inside the thinking AI brain") - ![How Cint keeps your data safe — and secure](https://www.cint.com/wp-content/uploads/2024/10/c1176-blogcover-image.jpg) September 3, 2024 ## [How Cint keeps your data safe — and secure](https://www.cint.com/blog/how-cint-keeps-your-data-safe-and-secure/) A conversation with Cint experts Dhruv Mathur, Vice President, Information Security and Caroline Tahon, Data Protection Officer, on keeping data as safe and secure as possible. [How Cint keeps your data safe — and secure](https://www.cint.com/blog/how-cint-keeps-your-data-safe-and-secure/ "How Cint keeps your data safe — and secure") [Explore our Quality Hub](https://www.cint.com/quality-hub/)