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Latest posts
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What Is LLMOps?
PocketOS is a startup that builds software specifically catering to car rental businesses. In April 2026, it reported that an AI coding agent had deleted their entire production database along with all volume-level backups with a single API call. As complicated as it sounds,…
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What Is Metadata Management? Definition, Benefits & Best Practices
When Microsoft’s 365 Copilot first arrived on enterprise desktops, it was a model service, rarely breaking a single permission. However, it made every single forgotten permission searchable. A Gartner survey found almost 132 IT leaders had delayed Copilot rollouts because of the…
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IAB EU TCF v2.4: What Organizations Need to Know
Interactive Advertising Bureau (IAB) Europe has updated its Transparency and Consent Framework (TCF) through its Technical Specifications v2.4 and TCF Policies v5.0.b. The changes focus on improving transparency around multi-device consent, making TCF Features easier to…
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DSPM for SaaS Applications: 2026 Guide
Key Takeaways DSPM for SaaS protects data within applications, not the perimeters around them. Robust DSPM should discover shadow data assets and deliver context-aware classification. Findings should feed the existing security stack. Top use cases include data and AI asset…
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The EU Cyber Resilience Act (CRA): A Complete Guide for Compliance
Introduction It’s not enough to have the most innovative products in the modern corporate environment without the assurance of foolproof cybersecurity resilience. Users and corporations are more wary than ever before about who they give access to their data. Any device or…
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What is Access Control? Definition, Types, & Components
The moment a security incident occurs, the first question is: who had access? This is followed by what was accessed, from where it was accessed, how much was accessed and exposed, etc. As organizations migrate to cloud services and adopt AI-driven technologies, managing access…
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What is Data Integrity? Complete Guide
Today, nearly every corporate strategic decision and forecast, customer engagement, and regulatory report depends on one thing: confidential, trustworthy, accurate, high-quality data, also known as data integrity. In a data-first realm, organizations are processing sensitive…
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What Is Data Quality? Definition, Challenges & Best Practices
If there’s one thing organizations can’t operate without, it’s good quality data. As enterprises scale their operations and data environments, maintaining accurate, reliable, and trustworthy data quality becomes an increasing challenge. Organizations today experience an average…
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What Is Data Profiling? Techniques, Tools & Benefits
Organizations invest a great deal of resources in collecting and storing data. Now imagine the data collected is processed to make critical strategic business decisions, only to find that it was inaccurate, incomplete, outdated, and simply of poor quality. This is precisely…
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DSPM Market Size 2026: Growth Forecasts & Adoption Trends
Key Takeaways The DSPM market size in 2026 is between $2.2 to $2.5 billion. North America is increasingly adopting DSPM due to cloud complexity and regulatory needs. The healthcare and retail sectors are steadily growing, highlighting growth opportunities. DSPM absorbs adjacent…
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What is the Difference Between DSPM & Traditional Data Security?
Key Takeaways Traditional data security tools are more infrastructure-focused, protecting networks, databases, endpoints, and applications. DSPM is data-centric in that it discovers and classifies sensitive data across the estate and assesses risk posture. DSPM and legacy tools…
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EU Digital Sovereignty is Moving from Policy to Procurement: What Organizations Need to Know
Digital sovereignty in Europe is moving from policy ambition toward something much more concrete: a framework that can determine how cloud services are assessed, procured, and ultimately regulated. The European Commission has already tested this approach through its Cloud…
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DSPM for AI: Extending Data Posture to Prompts, Pipelines & Agents
Key Takeaways DSPM for AI extends data security posture management to AI systems, covering sensitive data reachable training pipelines, and agent workflows. Regular DSPM answers where sensitive data lives and who can access it. DSPM for AI adds which AI systems reach that data…
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DSPM vs DLP: Key Data Security Differences Explained
Key Takeaways DSPM discovers and classifies data at rest across cloud, SaaS, and on-premises environments, and scores risk exposures. DLP inspects data in transit and at rest to enforce policy on transfers that violate the rules. DSPM finds data that organizations do not yet…
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What Is Enterprise AI Security? A Beginner’s Guide
Back in January 2024, a customer was following up on a missing package with DPD. An average Joe with little to no complicated tech knowledge decided to mess around with DPD’s customer service chatbot. A few cleverly disguised prompts later, he had manipulated the chatbot into…
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What Is Enterprise Risk Management? Framework & Best Practices
What is Enterprise Risk Management? While fortune does favor the brave, enterprises cannot afford to always be gungho in how they operate. Regardless of how brash they are in operations, they must have an appropriate measure of how much risk they’re willing to take. Doing so is…
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What is Data Transparency? Why it Matters for the Modern Enterprise
Today, every organization wants to leverage data and be data-driven. However, most lack a fundamental understanding of their data and do not truly recognize the value of their data assets. Most modern organizations today are interconnected with a web of data touchpoints where…
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How to Choose the Right DSPM Platform
Key Takeaways: Coverage should be tested against an organization's data estate. False positives are the leading reason DSPM findings are ignored. Sensitivity means little without knowing who can reach the data AI coverage is a core requirement, not a roadmap item Choosing the…
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What is Data Stewardship? All You Need to Know
Data is the powerhouse fueling innovation and strategic decisions that drive substantial growth across organizations and their data ecosystems. However, a lack of guardrails and governance, such as clear ownership, accountability, and oversight, can quickly make data a…
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What is Data Sprawl? What Every Enterprise Should Know
Collecting data is one thing, but having centralized oversight is another. Today, organizations collect data from dozens, hundreds, or even thousands of data sources. That data spans numerous data ecosystems and various on-premises, hybrid, and cloud data infrastructures, with…