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Practitioner perspectives on getting only appropriate, compliant data into enterprise AI pipelines — from our team and the broader AI data community.

AI Infrastructure Fails When the Wrong Data Enters the Pipeline Organizations are pushing hard to scale their AI initiatives to drive faster decisions, improve operational efficiency, and unlock new business…
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When OpenAI open-sourced its Privacy Filter (OpenAI Privacy Filter GitHub), the enterprise AI community took notice — and rightly so.
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If your organization is running AI agents or has connected LLMs to internal knowledge bases, there’s a governance gap already open inside your AI program, and your current security stack is most likely not…
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There is a number that keeps appearing in enterprise AI conversations, and most teams would rather not talk about it.
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Enterprises spent years treating data sovereignty as a geography problem.
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Most enterprise AI teams are solving the wrong problem first.
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A company building the world’s most capable AI model left thousands of sensitive internal files in a publicly searchable data store.
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“HUMANS, as you know, make MISTAKES.” And that single fact is enough to unravel everything your ChatGPT Enterprise license promised to protect.
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If you believe ChatGPT Enterprise, Microsoft Copilot, and Claude are secure for enterprise use, consider these uncomfortable facts: ChatGPT has already suffered a bug that exposed users’ conversation…
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ChatGPT Enterprise prevents OpenAI from training on your data, but it doesn’t stop sensitive data exposure, unauthorized transmission, or regulatory violations.
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“ALERT: SENSITIVE INFORMATION IS LEAKING FROM YOUR SOURCE TO ANOTHER!” Your over-helpful bot would never say that.
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Did you know that Samsung banned ChatGPT & the use of Gen-AI company-wide in 2023?
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Using Data Classification for Effective Compliance When working toward ISO 42001 compliance, data classification is essential, particularly for organizations handling large amounts of data.
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Laying the Groundwork for ISO 42001 Compliance Starting the journey toward ISO 42001 compliance can seem complex, but with a strategic approach, companies can lay a strong foundation.
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VRM deals with managing and considering risks commencing from any third-party vendors and suppliers of IT services and products.
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A Data Subject Access Request (DSAR) is the means by which a consumer can make a written request to enterprises to access any personal data they hold on them.
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There has been a phenomenal revolution in digital spaces in the last few years which has completely transformed the way businesses deal with advertising, marketing, or any kind of data sharing.
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In 2023, the California Privacy Rights Act (CPRA) will supersede the California Consumer Privacy Act (CCPA), bringing with it a number of changes that businesses need to be aware of.
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With organizations storing years of data in multiple databases, governance of sensitive data is a major cause of concern.
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For years, tech companies have developed AI systems with minimal oversight.
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Navigating the Shift in AI Compliance Regulations The latest revisions in the Justice Department’s corporate compliance guidelines signal a significant shift for companies that rely on AI technologies.
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Introduction The threat landscape around data security evolves each year due to factors like a lack of robust security measures, improper data handling, and increasingly sophisticated cyberattacks.
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On July 25, 2024, the European Commission released its Second Report on the Application of the General Data Protection Regulation (GDPR), offering an in-depth look into the evolving landscape of data privacy…
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In today’s fast-paced technological landscape, the intersection of AI, data security, and compliance has become a focal point for enterprises aiming to leverage AI’s capabilities while safeguarding sensitive…
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Today Artificial Intelligence (AI) is a part of our day-to-day activities, and knowingly or unknowingly, it impacts our actions and decision-making.
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Growing concerns over data breaches have led to a flurry of data regulations around the world that are aimed at protecting sensitive information about individuals.
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Single platform, privacy-driven security is the future To our colleagues in the data privacy and security space, Over the past few months, I’ve been asked about the White House’s executive order on artificial…
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Data Subject Request.
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It’s not often a cyberattack affects a substantial portion of Americans.
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Inventorize personal information with data mapping and meet compliance requirements Organizations have numerous data sources spread across their IT landscape, which they use to collect, store, and process…
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The State of Washington passed the My Health My Data Act (MHMDA), which is a groundbreaking data privacy law focused on protecting personal health data.
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Essential CPRA Compliance Checklist: Ensuring Business Adherence to California’s Data Privacy Regulation The residents of California have a legal right to know what personal information is collected by…
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Reduce Attack Surface for Data Breaches with Data Minimization The General Data Protection Act (GDPR) introduced many regulations around data privacy and how organizations should implement certain rules to…
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What inspired the rise of LLMs and why now?
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A Structured Explanation of Unstructured Data To corporate Privacy teams, the term “unstructured data” is frequently thrown around.
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In today’s data-driven world, where privacy concerns loom large and regulations become increasingly enforced, Privacy teams face the formidable task of safeguarding their organization’s sensitive information…
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AI Data Governance for Fair Decision-making Today Artificial Intelligence (AI) is a part of our day-to-day activities, and knowingly or unknowingly, it impacts our actions and decision-making.
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Understanding what is CPRA’s Do Not Sell or Share my Personal Information To protect the privacy of California residents, the state of California introduced the California Consumer Privacy Act (CCPA) data…
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In a significant development, the Securities and Exchange Commission (SEC) implemented new rules effective December 2023, aimed at enhancing transparency and consistency in the disclosure of cybersecurity…
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As of 2021, we are creating 1.145 trillion MB of data per day.
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Secuvy’s unsupervised machine learning algorithms (“self-learning AI”) play a pivotal role in enhancing data discovery and classification processes with our customers.
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Global privacy and security laws, such as General Data Protection Regulation (GDPR) and the latest edition in India the Digital Personal Data Protection Act (DPDPA) have significantly altered the landscape of…
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Introduction The data discovery challenge is undergoing a profound transformation driven by cloud-native technologies and the rapid pace of application development, fueled by advances in generative AI.
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The Digital Personal Data Protection Act (DPDPA) marks a significant milestone in India’s legislative history, culminating after years of negotiations and false starts.
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A Primer on India’s Digital Personal Data Protection Act In an era where personal data has become a digital currency, the need to strengthen data privacy has never been more evident.
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An organization can make use of universal data governance to stay ahead of its competitors.
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Privacy Impact Assessment (PIAs) are one of the most important tools that help to access the personal information across the organisation.
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What every privacy & legal team needs to know.
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What inspired the rise of LLMs and why now?
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Data Security – The Other side of Data Privacy Privacy has been a buzzword for years, discussed and talked about at different forums for different reasons.
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California Consumer Privacy Act (CCPA) came into implementation from Jan 1st 2020.
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Healthcare Organisations have massive amount of Unstructured data.
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How Secuvy AI Automates Data Discovery for GSuite Gmail and GDrive are the paramount emails and cloud-based services worldwide.
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