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By Cyberhaven
Data security budgets are under more scrutiny than ever. When a CISO brings a new tool to the table, finance and the board want to know: What does this buy us, and how do we measure it? Data security posture management (DSPM) is one of the harder investments to quantify on paper, largely because its primary value is risk reduction rather than revenue generation. But that framing undersells it.
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By Cyberhaven
In enterprise software, winning a deal is not just about product fit. The buying process matters just as much. Even when a customer is committed to moving forward, procurement friction can slow or stall a deal. New vendor setup, contract reviews, billing workflows, approval chains, and budget constraints all add complexity that extends timelines and increases the risk of deals falling apart. That is why procurement flexibility is not a back-end operational concern. It is a customer experience issue.
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By Cyberhaven
Most organizations believe they have a handle on where their sensitive data lives. A closer look usually reveals a different picture. Classified files on unmanaged endpoints, customer records replicated into SaaS tools no one approved, and AI-generated content containing proprietary context that was never meant to leave a controlled environment. The gap between perceived and actual data security posture is exactly where breaches happen.
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By Cyberhaven
AI security compliance is the practice of applying security controls, data governance policies, and regulatory requirements specifically to how AI systems are deployed, used, and monitored within an organization.
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By Cyberhaven
Most organizations treat AI security as a finishing touch: A policy written after an incident or a product category evaluated after the core stack is already in place. That sequencing is the problem. AI has fundamentally changed how sensitive data moves inside an organization, through prompts, agents, summarization tools, and third-party models that operate entirely outside traditional security perimeters.
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By Cyberhaven
Employees move sensitive data into AI tools every day. Someone pastes customer records into ChatGPT to draft an email. A developer feeds proprietary source code into a coding assistant to fix a bug. A project manager drops a confidential contract into Gemini to summarize it for a meeting. According to research from Cyberhaven Labs, 39.7% of the data employees share with AI tools is sensitive, and enterprise adoption of endpoint-based AI agents grew 276% in the past year alone.
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By Cyberhaven
Enterprise AI adoption is no longer a future problem. The average organization uses 54 generative AI (genAI) applications, and endpoint AI agent adoption is accelerating, with Cyberhaven research tracking 276% growth in 2025. Security programs have struggled to keep pace with either trend. The AI security gap is technical, not philosophical. Most organizations have AI acceptable use policies.
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By Cyberhaven
AI adoption does not happen uniformly across an organization. Some employees have integrated generative AI (genAI) tools into core parts of their workflow. Others have barely opened one. Most are somewhere in between, experimenting on an ad hoc basis, without consistent visibility into what data those tools handle or where it goes. That variance is the problem. Security programs built around either universal AI adoption or zero AI adoption will miss most of the actual risk.
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By Cyberhaven
Consider this common scenario: The executives of an organization have approved the AI strategy, the vendors have been selected and the tools launched into production. Within days the internal security team finds out that employees have been pasting customer contracts into a generative AI (genAI) summarization tool for six months before anyone noticed. All that work didn’t stop unintentional data leaks.
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By Franklin Nguyen
Security budgets are tightening, and tool consolidation reviews keep landing on the same three categories: data security posture management (DSPM), data loss prevention (DLP), and AI security. At the same time, vendor marketing has done little to clarify the differences among the three and the path for organizations needing to enhance data security efficiently.
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By Cyberhaven
On this episode of Founder Stories, Nishant Doshi, Cyberhaven CEO, and Dr. Volodymyr Kuznetsov, Co-founder and Chief Technology Officer at Cyberhaven, join the show to discuss their transition from founder-led leadership.
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By 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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By Cyberhaven
Cyberhaven is excited to introduce Data Security Posture Management, now in Early Access. Existing DSPMs helped security teams inventory sensitive data across cloud repositories, but they stop short of delivering meaningful protection. They identify what data organizations have and where it resides, but not who owns it, where it came from, or how it’s being used. As data moves through modern organizations, copied between applications, repos, and endpoints, summarized into AI tools, and shared externally, those systems lose visibility and therefore their ability to protect data.
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By Cyberhaven
Resolve incidents 5x faster, detect 40% more critical incidents, and reduce future incidents by 90% with Linea AI by Cyberhaven. Linea AI thinks like the smartest security analyst, precisely spotting insider risks across billions of workflows and every piece of data. It understands how people work the way a human would, but it never loses focus and can apply human-like insight at an incredible scale.
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By Cyberhaven
In this video, we break down the concept of data lineage — a way to track how data moves, changes, and is used across your organization. Data lineage provides visibility into the lifecycle of sensitive information, from where it originates to where it flows, and who interacts with it. Understanding data lineage helps organizations improve security, ensure compliance, and reduce insider risk. Watch now to learn what data lineage is, why it matters, and how it helps protect your most valuable data.
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By Cyberhaven
In this video, we break down these two important but often-confused terms in cybersecurity. Insider risk refers to the potential for harm that comes from employees, contractors, or partners who have access to sensitive data — whether accidental or intentional. Insider threat is when that risk becomes an actual malicious or negligent action that puts your organization at risk.
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By Cyberhaven
In this video, we explain the basics of insider risk management — the practice of identifying, assessing, and reducing the risks that come from employees, contractors, or partners who have access to sensitive data. Insider risk management goes beyond traditional data loss prevention by addressing both malicious and accidental insider threats. From protecting intellectual property to preventing data leaks, insider risk management helps organizations secure their most valuable information.
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By Cyberhaven
Unlock the secrets of Information Security (Infosec)! In today's digital age, protecting your data is paramount. This video breaks down what Infosec truly is, going beyond just digital threats to cover all forms of information – from physical files to conversations.
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By Cyberhaven
Enterprises are drowning in data — and struggling to see what really matters. The explosion of data volume has created a visibility crisis that makes it harder than ever to protect sensitive information and stop insider threats. In this short video, we explain why traditional tools can’t keep up, what makes visibility so critical, and how organizations can regain control over their data. Watch now to learn.
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By Cyberhaven
A data breach doesn’t just cost money — it costs customers. Trust is hard to win and easy to lose, and cyberattacks often push loyal customers to walk away. In this short video, we explore how cyber incidents lead to customer churn, the hidden cost of lost trust, and why protecting sensitive data is critical to retaining your customer base. Watch now to learn: How cyberattacks impact customer trust and loyalty.
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By Cyberhaven
Dive into our expertly curated DLP program checklist that will align with your organization's ambitious business and catapult them forward.
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By Cyberhaven
In this guide we demystify DLP to distill the basics of DLP program development. Learn the essentials required to create scalable data security and data protection programs.
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By Cyberhaven
Data is leaving your company in ways that didn't exist years ago-AirDrop, generative AI, and more. Legacy DLP hasn't kept up; now it's time to invest in more forward-looking solutions.
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By Cyberhaven
DDR makes it possible to stop data exfiltration across all channels with one product and one set of policies.
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Cyberhaven detects and stops the most critical insider risks to your most important data.
Let’s face it, data security products never lived up to our expectations and now that the way we work is changing they can’t keep up. Cyberhaven solves these challenges so companies can finally protect their data.
Data Detection and Response:
- Understand how data flows: See what systems store different types of data and how data moves within the company to new places and people.
- Stop data exfiltration anywhere: Block important data from leaving your control via cloud, web, email, removable storage, Bluetooth/AirDrop, and more.
- Accelerate internal investigations: Quickly understand an incident to determine user intent with a complete record of events before and during an incident.
- Detect and stop risky behavior: Instantly detect when a user handles important data in a risky way, stop them in real time, and coach them.
Trace your data to protect it like never before.