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The latest News and Information on Data Security including privacy, protection, and encryption.

Difference between Network DLP vs Endpoint DLP vs Cloud DLP

Oct 6, 2026 By Prashant Bhivsane In miniOrange
When it comes to protecting business-sensitive data, understanding the difference and the scope of Network DLP, Endpoint DLP, and Cloud DLP is essential. Each of these Data Loss Prevention solutions (DLP) plays a unique role in securing data across various environments, whether it is on the Network, on individual devices, or in the Cloud. Knowing how each solution works can help you determine the best approach to safeguard your organization's sensitive information.
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nightfall

Meta Muse in the Enterprise: Data Security for Personal Autonomous Agents

Oct 5, 2026 By The Nightfall Team In Nightfall
The deployment of personal AI agents like Meta's Muse represents a structural shift in enterprise data loss prevention. Unlike conversational web chatbots where data movement is limited to manual user prompts, autonomous personal agents operate in cloud virtual machines, run continuous background tasks, and connect directly to enterprise SaaS platforms through OAuth integrations.
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nightfall

September 2026 Product Updates

Oct 5, 2026 By The Nightfall Team In Nightfall
September was the month Nightfall's control layer reached inside the model call. Five releases shipped: Claude Inference Hooks, MCP Gateway, expanded endpoint exfiltration controls, personal file classifiers, and PII coverage across 30 countries. Together they close the gap between what security teams can control when a person moves data and what they can control when an AI agent does.
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CrowdStrike

Falcon Data Security for SaaS Secures Sensitive Data in Microsoft 365

Oct 5, 2026 By Dana Larson In CrowdStrike
For many organizations, Microsoft 365 environments are essential to data security strategy. Their strategic plans live in SharePoint; their employee records and customer data are stored in OneDrive. Teams use these tools to collaborate on projects every day, and increasingly, AI tools like Microsoft Copilot can access the information they rely on.
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cyberhaven

How to Build a Data Security Program for Generative AI

Oct 1, 2026 By Cyberhaven In Cyberhaven
Ask five security leaders what "data security for generative AI" covers and you'll get five different answers. Some may point to an existing DLP rule for ChatGPT, while others would point to an AI acceptable use policy. Some operate under the assumption that their DSPM vendor already handles genAI security. The confusion isn't about effort, as most teams are actively trying to get ahead of GenAI risk.
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acronis

AI data security: protecting sensitive information across AI tools

Sep 28, 2026 By Acronis In Acronis
An employee uploads a spreadsheet to find a sales trend. Another pastes a support conversation into a chatbot to draft a reply. Neither intends to expose business information. Even so, both may send sensitive material outside the systems where your business normally controls it. SMB IT decision-makers need to know what employees share and decide which interactions are acceptable, without building a specialist AI security team.
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cyberhaven

Modern Data Security Should Be Anchored To Your Data's Lineage

Sep 23, 2026 By Franklin Nguyen In Cyberhaven
New AI tools appear every day. The novelty and utility they bring, along with the constant pressure to be more productive, pull employees toward them to get work done faster. The intent is good but the effect can range from problematic to damaging, because while there are rules in place for sanctioned tools, there are none for the ones that quietly show up in between.
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Protect Sensitive Data in LibreChat with Protecto | PII Masking Demo

Sep 15, 2026 By Protecto In Protecto
Most DLP tools can mask a PII value on the way into a model. Almost none of them can make that value usable again when the AI needs to call a tool with it, so the masking breaks the workflow instead of protecting it. This is Protecto Privacy Gateway for AI Chat, live in a self-hosted LibreChat deployment. Watch what happens when a masked account number needs to resolve at a tool boundary — and comes back correct.
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Why Network Privacy is Becoming a Critical Layer of Modern Cybersecurity

Why Network Privacy is Becoming a Critical Layer of Modern Cybersecurity

Sep 8, 2026 By SecuritySenses In SecuritySenses
In 2026, network privacy has become a critical layer of modern cybersecurity. With cyber threats becoming increasingly advanced and businesses embracing hybrid work, cloud platforms, and interconnected systems, network security can protect data moving across networks and reduce exposure to cybercrime. This article will explore why network security is so important in 2026, the risks associated with unsecured connections, and how businesses can strengthen their posture. Read on to find out more.
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