Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cyberhaven

AI Inference Risk: The Data Exposure Your DLP Can't See

Jun 25, 2026 By Cyberhaven In Cyberhaven
Your DLP controls are correctly configured. Classification policies are in place. Sensitive data is labeled. And your AI tools are quietly building a picture of your organization that none of those controls can see. Most AI-related data exposure does not arrive as a file transfer event.
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The 5 Questions Every Leak Investigation Needs to Answer

Jun 25, 2026 By Cyberhaven In Cyberhaven
In this video, you will learn the five questions every data leak investigation must answer to be defensible — what the data is, where it originated, who accessed it, where it spread, and the fastest containment step — and why the visibility gap in most security stacks makes those questions impossible to answer instantly. You will also learn how combining DSPM baseline inventory with real-time data lineage replaces the high-stress scramble with surgical containment and audit-ready proof, so you move from "I think we're safe" to "here is the proof.".
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cyberhaven

From Paralysis to Action: Why First-Wave DSPM Left Security Teams Drowning in Data They Could Not Use

Jun 25, 2026 By Michelle Marshall In Cyberhaven
Boards are investing more in data security than ever before. Analysts have declared data security posture management (DSPM) one of the fastest-growing categories in cybersecurity. And yet CISOs across industries are standing in front of dashboards filled with findings, flags, and risk scores, completely unable to move to action.
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cyberhaven

Data Governance vs. Data Security

Jun 24, 2026 By Cyberhaven In Cyberhaven
Most organizations treat data security and data governance as parallel tracks managed by separate teams with separate tooling. Security owns the controls; governance owns the policies. The two programs rarely share a roadmap, and the gaps between them are where data risk actually lives. Governance without security enforcement leaves policy on paper. Security without governance context produces alerts without the underlying understanding of what the data is, who owns it, or why it matters.
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cyberhaven

How DSPM Improves Data Access Governance

Jun 22, 2026 By Cyberhaven In Cyberhaven
Data access governance (DAG) is the set of policies, controls, and processes that determine who can access sensitive data, under what conditions, and with what level of oversight. For most organizations, the policies exist. What's harder to verify is whether those policies reflect the actual state of data across cloud storage, SaaS platforms, and data pipelines.
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Your Sensitive Data Isn't in One Place Anymore - It's in 47 Copies

Jun 18, 2026 By Cyberhaven In Cyberhaven
In this video, you will learn why locking down source systems like your CRM, HR database, and S3 buckets leaves your real risk surface exposed, how one regulated file fragments into CSV exports, screenshots, scripts, and AI prompts that shed their security context at every hop, and why both legacy DLP and traditional DSPM fail to act on these invisible derivatives. You will also learn how lineage-focused DSPM tracks the provenance of the data payload itself — every copy, paste, and save — so you can enforce policy on fragments instead of guessing from patterns.
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cyberhaven

GDPR Data Security: How DLP and DSPM Support Article 32 Compliance

Jun 17, 2026 By Cyberhaven In Cyberhaven
Article 32 of the General Data Protection Regulation (GDPR) does not specify which tools to use, however it requires organizations to implement "appropriate technical and organisational measures" to protect personal data, proportionate to the risk. What that standard’s vague wording demands in practice is where most compliance programs run into trouble.
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cyberhaven

Shadow AI Is Not a People Problem. It's a Governance Problem

Jun 16, 2026 By Cyberhaven In Cyberhaven
Most organizations responded to shadow AI the way they responded to shadow IT a decade ago: awareness campaigns, acceptable use policies, and training programs. The assumption was that if employees understood the risk, they would stop using unsanctioned tools. That approach did not work for shadow IT, and it won't work for shadow AI. The key difference is governance architecture.
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cyberhaven

The CIO's AI Security Checklist: 10 Questions Before Deploying Agents

Jun 15, 2026 By Cyberhaven In Cyberhaven
You approved the AI tools. You funded the infrastructure. Now your teams want to deploy AI agents, and the ask sounds reasonable: automate the research workflow, connect the agent to the CRM, let it draft and send. The productivity case is clear. What is less clear is who owns the security exposure when that agent starts moving data across systems it was never explicitly authorized to touch. The answer, increasingly, is you.
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