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How CISOs Should Use DSPM to Inform Risk Decisions

🔎 Data security posture management (DSPM) is less about buying a single product and more about adopting a mindset: identify where sensitive data lives, quantify its value-at-risk, and use that information to prioritize remediation and investments. Full DSPM platforms can demand one to three dedicated FTEs to maintain, so many organizations should start with manual inventories, lightweight scanners or existing DLP outputs. The piece highlights practical scenarios—patch prioritization, M&A integrations, and IAM reviews—and warns that rising agentic AI and vendor access requirements make timely, measurable data discovery increasingly urgent in 2026.
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Google Cloud Enables Default AI and Cloud Security

🔒 Google Cloud now enables essential AI and cloud security by default via an enhanced Security Command Center (SCC) Standard tier automatically turned on for eligible customers. The free Standard tier includes a unified AI protection dashboard with detection for unprotected Gemini inference, LLM and agent guardrail reporting, and four baseline AI posture controls. It also adds expanded misconfiguration checks, DSPM, Compliance Manager, agentless vulnerability scanning, and in-context findings in Cloud Hub, GCE, and GKE dashboards.
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CrowdStrike Extends DSPM to Runtime for Cloud Data

🔒 CrowdStrike Falcon Data Protection for Cloud is now generally available, extending traditional DSPM into runtime to provide continuous visibility and protection for sensitive data in motion. Leveraging eBPF-powered monitoring, it detects unauthorized or risky data transfers across APIs, SaaS, containers, databases, and cloud storage without proxies or added infrastructure. The solution combines unified classification with integrated investigation and automated response, plus SIEM streaming and a lightweight Linux sensor for rapid deployment.
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Data Security Posture Management: Top DSPM Tools Reviewed

🛡️ Data Security Posture Management (DSPM) tools help organizations discover, classify and manage sensitive data across dynamic cloud environments. They focus on locating "shadow data" in known and unknown repositories and typically collect metadata via agentless or API-based scans to avoid moving raw data. DSPM dashboards catalog findings, map lineage and assess compliance, while remediation often integrates with SOAR, SIEM or CNAPP solutions. Many vendors now combine discovery with some automated "fix it" capabilities to streamline response.
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