Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cyberhaven

A New Data Age Demands A New Way of Thinking About DSPM

Jan 26, 2026 By Nishant Doshi In Cyberhaven
We are living through one of the most profound shifts in how humans interact with information. Everyone is talking about AI for productivity, but this moment is so much bigger than that. We are witnessing a once-in-a-lifetime change in how knowledge, insight, and decision-making are embedded into every aspect of business and human life.
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cyberhaven

DSPM vs CSPM: Choose Your Cloud Security Strategy

Jan 23, 2026 By Cyberhaven In Cyberhaven
Data security posture management (DSPM) and cloud security posture management (CSPM) both play vital roles in cloud security, but they serve distinct purposes. DSPM focuses on protecting sensitive data across SaaS, IaaS, and PaaS environments, while CSPM focuses on cloud infrastructure. For organizations managing sensitive data in multi-cloud setups, DSPM often offers superior visibility, real-time monitoring, and regulatory alignment.
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cyberhaven

DSPM for the Modern Enterprise: One Unified View of Data Risk Everywhere

Jan 22, 2026 By Kasi Annamalai In Cyberhaven
Security teams today aren't struggling with a lack of data, they're struggling with a lack of clarity. Sensitive data now lives and moves across endpoints, SaaS applications, cloud infrastructure, and AI systems. Understanding where that data is, how it's used, and when it becomes risky has never been more important — or more difficult.
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Cyberhaven Product Launch: Uniting DSPM & DLP to Secure Data in the AI Era

Jan 21, 2026 By Cyberhaven In Cyberhaven
AI is rewriting data risk. On Feb 3, see how to fight back. Every week, AI makes your team faster—and your data more exposed. Files jump between new tools, models train on sensitive inputs, and traditional DLP is blind to the context that matters most. On February 3 at 11:00 AM PST, we’re pulling back the curtain on Cyberhaven’s unified DSPM & DLP platform—and showing how a single, AI‑native platform can finally keep up with how data actually moves.
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cyberhaven

DSPM for AI: Securing Data in the Age of Artificial Intelligence

Jan 12, 2026 By Wil Tranchell In Cyberhaven
Organizations across industries are adopting AI at a rapid pace. From utilizing this newer technology to process data and conduct business-critical tasks to individual employees experimenting with Gen-AI to enhance their workflows, artificial intelligence now touches multiple points of an organization's operations.
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5 Best Global HR and Payroll Platforms With Strong Data Protection Standards

5 Best Global HR and Payroll Platforms With Strong Data Protection Standards

Jan 9, 2026 By SecuritySenses In SecuritySenses
Running global HR and payroll means handling personal data at a massive scale. Bank account numbers, tax identifiers, salary information, performance reviews, and employment records flow through these systems constantly. A security lapse doesn't just create operational problems. It triggers regulatory penalties, erodes employee trust, and exposes the organization to legal risk across multiple jurisdictions.
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cyberhaven

IRM in the Real World: Why Culture Is Just as Important as Controls

Jan 8, 2026 By Derrick Udarnauth In Cyberhaven
In security, we love to talk about tools. Detection engines, behavioral analytics, identity governance platforms, and data classification tags. We invest millions in building systems that can track, monitor, and block unauthorized activity. And when it comes to insider risk, many organizations respond by doubling down on controls implementing tighter access permissions, more restrictive policies and stricter monitoring.
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cyberhaven

The ROI of Modern DLP Solutions: Why It's Worth the Investment

Jan 5, 2026 By John Loya In Cyberhaven
Every security leader is tasked with a difficult balancing act: reducing risk while controlling cost. Cybersecurity budgets aren’t unlimited, and executive teams demand clear justification for every new tool. Data loss prevention (DLP) has often struggled to prove its value in this context. Traditional solutions were expensive to deploy, noisy in practice, and often delivered more frustration than measurable protection.
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