# data loss prevention

Data loss prevention (DLP) is the process and technology of identifying, monitoring, and protecting sensitive data against unauthorized access, use, or transmission.

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## How to Build an Endpoint Data Loss Prevention Strategy for Your Development Team

DevFeed: [How to Build an Endpoint Data Loss Prevention Strategy for Your Development Team](<https://devfeed.tech/articles/how-to-build-an-endpoint-data-loss-prevention-strategy-for-your-development-team-26899.md>)

Original publisher: [Read original article](<https://www.freecodecamp.org/news/build-an-endpoint-data-loss-prevention-strategy-for-your-dev-team/>)

Author: Alex Tray

Published: 2026-09-15T21:03:09Z

Content type: tutorial

Language: en

Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More](<https://devfeed.tech/sources/freecodecamp-programming-tutorials-python-javascript-git-more.md>)

Topics: [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Development](<https://devfeed.tech/topics/development.md>), [Access Control](<https://devfeed.tech/topics/access-control.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [access-control](<https://devfeed.tech/tags/access-control.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [cybersecurityawareness](<https://devfeed.tech/tags/cybersecurityawareness.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [data-protection](<https://devfeed.tech/tags/data-protection.md>), [database](<https://devfeed.tech/tags/database.md>), [development](<https://devfeed.tech/tags/development.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [endpoint-security](<https://devfeed.tech/tags/endpoint-security.md>), [hardcoded-credentials](<https://devfeed.tech/tags/hardcoded-credentials.md>), [it-security](<https://devfeed.tech/tags/it-security.md>), [net-conf](<https://devfeed.tech/tags/net-conf.md>), [remote-access](<https://devfeed.tech/tags/remote-access.md>), [secrets](<https://devfeed.tech/tags/secrets.md>), [sensitive-data](<https://devfeed.tech/tags/sensitive-data.md>), [web-development](<https://devfeed.tech/tags/web-development.md>)

### AI overview

A tutorial for development teams on building endpoint data loss prevention strategies. It covers auditing laptops for secrets and sensitive data, removing unnecessary copies, rotating exposed credentials, and establishing access controls.

### Source excerpt

A developer's laptop holds more sensitive data than most people realize: API keys, database credentials, staging environment secrets, and sometimes entire copies of production data pulled down "just f

## Building an Agentic SOC on a Stream

DevFeed: [Building an Agentic SOC on a Stream](<https://devfeed.tech/articles/building-an-agentic-soc-on-a-stream-11549.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/building-an-agentic-soc-on-a-stream/>)

Author: Pavel Lineitsev

Published: 2026-09-10T19:19:05Z

Content type: article

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [Agentic SOC](<https://devfeed.tech/topics/agentic-soc.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [Security](<https://devfeed.tech/topics/security.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-soc](<https://devfeed.tech/tags/agentic-soc.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [automation](<https://devfeed.tech/tags/automation.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [security](<https://devfeed.tech/tags/security.md>), [security-tools](<https://devfeed.tech/tags/security-tools.md>), [soc](<https://devfeed.tech/tags/soc.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This article describes an Agentic SOC that uses AI agents and a continuous streaming architecture to investigate security alerts. Its pipeline combines central triage, specialized evidence agents, adversarial evaluation, and a self-learning knowledge base to analyze every alert, escalate higher-value cases, and surface true positives for analyst review. The approach is intended to address the backlog of low-priority alerts, including Data Loss Prevention alerts, whose volume makes manual investigation impractical.

### Source excerpt

Discover how our security team built an automated multi-agent investigation pipeline that scaled alert triage throughput using a continuous streaming architecture.

## Securing the Modern Workforce: The Evolution of Cisco Umbrella

DevFeed: [Securing the Modern Workforce: The Evolution of Cisco Umbrella](<https://devfeed.tech/articles/securing-the-modern-workforce-the-evolution-of-cisco-umbrella-20380.md>)

Original publisher: [Read original article](<https://umbrella.cisco.com/blog/securing-the-modern-workforce-the-evolution-of-cisco-umbrella>)

Author: Negisa Taymourian

Published: 2026-09-08T13:00:48Z

Content type: article

Language: en

Sources: [OpenDNS](<https://devfeed.tech/sources/opendns.md>)

Topics: [Cisco Secure Access](<https://devfeed.tech/topics/cisco-secure-access.md>), [Security](<https://devfeed.tech/topics/security.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Zero Trust](<https://devfeed.tech/topics/zero-trust.md>), [digital experience monitoring](<https://devfeed.tech/topics/digital-experience-monitoring.md>), [ThousandEyes](<https://devfeed.tech/topics/thousandeyes.md>)

Tags: [ai-security](<https://devfeed.tech/tags/ai-security.md>), [cisco](<https://devfeed.tech/tags/cisco.md>), [cisco-secure-access](<https://devfeed.tech/tags/cisco-secure-access.md>), [cloud-security](<https://devfeed.tech/tags/cloud-security.md>), [digital-experience-monitoring](<https://devfeed.tech/tags/digital-experience-monitoring.md>), [dlp](<https://devfeed.tech/tags/dlp.md>), [products-services](<https://devfeed.tech/tags/products-services.md>), [security](<https://devfeed.tech/tags/security.md>), [security-service-edge-sse](<https://devfeed.tech/tags/security-service-edge-sse.md>), [thousandeyes](<https://devfeed.tech/tags/thousandeyes.md>), [zero-trust-network-access](<https://devfeed.tech/tags/zero-trust-network-access.md>)

### AI overview

Cisco Umbrella has evolved into Cisco Secure Access, a cloud-delivered Security Service Edge solution for hybrid work. The platform retains Umbrella's DNS-layer security while adding zero trust network access, data loss prevention, digital experience monitoring powered by ThousandEyes, firewall as a service, and controls for generative AI applications and autonomous AI agents.

### Source excerpt

For years, Cisco Umbrella has been the industry gold standard for DNS-layer security. By blocking threats before a connection is even established, it provides IT teams with a critical first line of defense and the visibility needed to keep networks safe. However, the threat landscape has changed. With the rise of hybrid work, the proliferation [...] The post Securing the Modern Workforce: The Evolution of Cisco Umbrella appeared first on Cisco Umbrella.

## New in Edge for Business: AI for work, safe from day one

DevFeed: [New in Edge for Business: AI for work, safe from day one](<https://devfeed.tech/articles/new-in-edge-for-business-ai-for-work-safe-from-day-one-4246.md>)

Original publisher: [Read original article](<https://blogs.windows.com/msedgedev/2026/05/20/new-in-edge-for-business-ai-for-work-safe-from-day-one/>)

Author: Patrick Brosset

Published: 2026-05-20T16:00:11Z

Content type: article

Language: en

Sources: [Microsoft Edge Blog](<https://devfeed.tech/sources/microsoft-edge-blog.md>)

Topics: [Edge for Business](<https://devfeed.tech/topics/edge-for-business.md>), [agentic browsing](<https://devfeed.tech/topics/agentic-browsing.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Edge](<https://devfeed.tech/topics/edge.md>), [secure enterprise browser](<https://devfeed.tech/topics/secure-enterprise-browser.md>), [browser](<https://devfeed.tech/topics/browser.md>), [Security](<https://devfeed.tech/topics/security.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Multi-tab reasoning](<https://devfeed.tech/topics/multi-tab-reasoning.md>), [Purview](<https://devfeed.tech/topics/purview.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-browsing](<https://devfeed.tech/tags/agentic-browsing.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-at-work](<https://devfeed.tech/tags/ai-at-work.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-for-business](<https://devfeed.tech/tags/edge-for-business.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [enterprise-data-protection](<https://devfeed.tech/tags/enterprise-data-protection.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [microsoft-365-copilot](<https://devfeed.tech/tags/microsoft-365-copilot.md>), [microsoft-edge](<https://devfeed.tech/tags/microsoft-edge.md>), [multi-tab-reasoning](<https://devfeed.tech/tags/multi-tab-reasoning.md>), [purview](<https://devfeed.tech/tags/purview.md>), [secure-enterprise-browser](<https://devfeed.tech/tags/secure-enterprise-browser.md>), [security](<https://devfeed.tech/tags/security.md>), [shadow-ai](<https://devfeed.tech/tags/shadow-ai.md>), [tenant-data-protection](<https://devfeed.tech/tags/tenant-data-protection.md>), [uncategorized](<https://devfeed.tech/tags/uncategorized.md>)

### AI overview

Edge for Business introduces agentic browsing in limited preview, alongside new AI experiences such as a Copilot-inspired new tab page and mobile support for multi-tab reasoning and YouTube summarization. The article emphasizes enterprise controls, including policy-based enablement, site scoping, user oversight, Purview data protection, and data loss prevention.

### Source excerpt

TL;DR: Edge for Business adds agentic browsing in limited preview, a Copilot-inspired new tab page, and mobile availability for multi-tab reasoning and YouTube summarization. These experiences are built on a secure enterprise browser foundation w The post New in Edge for Business: AI for work, safe from day one appeared first on Microsoft Edge Blog.

## Improving Firefox Stability in the Enterprise by Reducing DLL Injection

DevFeed: [Improving Firefox Stability in the Enterprise by Reducing DLL Injection](<https://devfeed.tech/articles/improving-firefox-stability-in-the-enterprise-by-reducing-dll-injection-4144.md>)

Original publisher: [Read original article](<https://hacks.mozilla.org/2025/03/improving-firefox-stability-in-the-enterprise-by-reducing-dll-injection/>)

Author: Haik Aftandilian

Published: 2025-03-25T18:31:16Z

Content type: article

Language: en

Sources: [Mozilla Hacks - the Web developer blog](<https://devfeed.tech/sources/mozilla-hacks-the-web-developer-blog.md>)

Topics: [Firefox](<https://devfeed.tech/topics/firefox.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Security](<https://devfeed.tech/topics/security.md>), [Windows](<https://devfeed.tech/topics/windows.md>), [Mozilla](<https://devfeed.tech/topics/mozilla.md>)

Tags: [blog](<https://devfeed.tech/tags/blog.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [feature](<https://devfeed.tech/tags/feature.md>), [firefox](<https://devfeed.tech/tags/firefox.md>), [mozilla](<https://devfeed.tech/tags/mozilla.md>), [security](<https://devfeed.tech/tags/security.md>), [web-browser](<https://devfeed.tech/tags/web-browser.md>), [windows](<https://devfeed.tech/tags/windows.md>)

### AI overview

Firefox 138 will provide an alternative to DLL injection for enterprise Data Loss Prevention deployments. The article explains how third-party DLLs injected into Firefox can cause incompatibilities, crashes, security bypasses, and other unpredictable behavior, especially as the browser changes frequently.

### Source excerpt

Beginning in version 138, Firefox will offer an alternative to DLL injection for Data Loss Prevention (DLP) deployments in enterprise environments. DLL Injection DLL injection into Firefox is a topic we've covered on the Hacks blog before. In 2023, we blogged about the Firefox capability to let users block third-party DLLs from being loaded. We [...] The post Improving Firefox Stability in the Enterprise by Reducing DLL Injection appeared first on Mozilla Hacks - the Web developer blog.

## Controlling ChatGPT Security Risks: Keeping Your Users Productive & Your Data Safe

DevFeed: [Controlling ChatGPT Security Risks: Keeping Your Users Productive & Your Data Safe](<https://devfeed.tech/articles/controlling-chatgpt-security-risks-keeping-your-users-productive-your-data-safe-20375.md>)

Original publisher: [Read original article](<https://umbrella.cisco.com/blog/controlling-chatgpt-security-risks-keeping-your-users-productive-and-data-safe>)

Author: Tom Baumgartner

Published: 2023-05-17T08:00:00Z

Content type: article

Language: en

Sources: [OpenDNS](<https://devfeed.tech/sources/opendns.md>)

Topics: [Security](<https://devfeed.tech/topics/security.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Cisco Secure Access](<https://devfeed.tech/topics/cisco-secure-access.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [CASB](<https://devfeed.tech/topics/casb.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [casb](<https://devfeed.tech/tags/casb.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [cisco](<https://devfeed.tech/tags/cisco.md>), [cisco-secure-access](<https://devfeed.tech/tags/cisco-secure-access.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [dlp](<https://devfeed.tech/tags/dlp.md>), [dns-layer-security](<https://devfeed.tech/tags/dns-layer-security.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [products-services](<https://devfeed.tech/tags/products-services.md>), [security](<https://devfeed.tech/tags/security.md>), [swg](<https://devfeed.tech/tags/swg.md>)

### AI overview

This Cisco article explains how organizations can manage ChatGPT and other generative AI security risks while preserving productivity. It describes Cisco Umbrella and Cisco Secure Access capabilities for discovering, controlling, and monitoring AI application use, preventing unsafe ChatGPT downloads, notifying users about blocked transfers, and mitigating data leakage through DLP and CASB controls.

### Source excerpt

The CISO Dilemma How can information security leaders ensure that employee usage of artificial intelligence (AI) tools to help increase organizational productivity is not putting sensitive company data or intellectual property (IP) at risk of leakage or other harm? We addressed this dilemma last week at Cisco Live in Amsterdam with the unveiling of exciting [...] The post Controlling ChatGPT Security Risks: Keeping Your Users Productive & Your Data Safe appeared first on Cisco Umbrella.

## Implementing ETL on GCP

DevFeed: [Implementing ETL on GCP](<https://devfeed.tech/articles/implementing-etl-on-gcp-22998.md>)

Original publisher: [Read original article](<https://bravenewgeek.com/implementing-etl-on-gcp/>)

Author: Deepmala

Published: 2020-07-15T20:53:17Z

Content type: tutorial

Language: en

Sources: [Brave New Geek](<https://devfeed.tech/sources/brave-new-geek.md>)

Topics: [DataOps](<https://devfeed.tech/topics/dataops.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [BigQuery](<https://devfeed.tech/topics/bigquery.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>), [Low code](<https://devfeed.tech/topics/low-code.md>), [No-code](<https://devfeed.tech/topics/no-code.md>), [olap](<https://devfeed.tech/topics/olap.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [analytics-pipeline](<https://devfeed.tech/tags/analytics-pipeline.md>), [bi-tools](<https://devfeed.tech/tags/bi-tools.md>), [bigquery](<https://devfeed.tech/tags/bigquery.md>), [cdap](<https://devfeed.tech/tags/cdap.md>), [cloud-data-loss-prevention](<https://devfeed.tech/tags/cloud-data-loss-prevention.md>), [cloud-dataflow](<https://devfeed.tech/tags/cloud-dataflow.md>), [cloud-dataprep](<https://devfeed.tech/tags/cloud-dataprep.md>), [cloud-dataproc](<https://devfeed.tech/tags/cloud-dataproc.md>), [cloud-pub-sub](<https://devfeed.tech/tags/cloud-pub-sub.md>), [cloud-storage](<https://devfeed.tech/tags/cloud-storage.md>), [cloud-tasks](<https://devfeed.tech/tags/cloud-tasks.md>), [data-analytics](<https://devfeed.tech/tags/data-analytics.md>), [data-fusion](<https://devfeed.tech/tags/data-fusion.md>), [data-lake](<https://devfeed.tech/tags/data-lake.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [elt](<https://devfeed.tech/tags/elt.md>), [etl](<https://devfeed.tech/tags/etl.md>), [gcp](<https://devfeed.tech/tags/gcp.md>), [no-code](<https://devfeed.tech/tags/no-code.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [sql](<https://devfeed.tech/tags/sql.md>)

### AI overview

A practical guide to building ETL pipelines on Google Cloud Platform using Google-managed services. It explains a two-phase architecture with Cloud Storage as a data lake, Cloud Data Loss Prevention for sensitive-data detection or redaction, and BigQuery as the curated data warehouse, with attention to low-code and no-code approaches.

### Source excerpt

ETL (Extract-Transform-Load) processes are an essential component of any data analytics program. This typically involves loading data from disparate sources, transforming or enriching it, and storing the curated data in a data warehouse for consumption by different users or systems. An example of this would be taking customer data from operational databases, joining it with data from Salesforce and Google Analytics, and writing it to an OLAP database or BI engine.