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Özge Aykaç

Özge Aykaç

Industry Analyst
16 Articles
Stay up-to-date on B2B Tech
Özge is an industry analyst at AIMultiple focused on data loss prevention, device control and data classification.

She is a member of the AIMultiple DLP benchmark team and evaluates the effectiveness of the top DLP providers.

Latest Articles from Özge

DataDec 19

IT Documentation Benchmark & Review

We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. Benchmark findings *NinjaOne auto-saves drafts but doesn’t display them separately.

CybersecurityNov 30

Top 10 Free USB Blocking Software

Data loss prevention software uses USB blocking to prevent data breaches by blocking data exfiltration via USBs and removable storage devices. Control over peripheral devices, such as USBs, includes whitelisting and blacklisting, authorizing read-only access, and enforcing predefined policy rules.

DataSep 3

Top 10 Data Crowdsourcing Platforms in 2026

With the spread of AI tools like generative AI and chatbots, the demand for AI data services has also increased. One such service is data crowdsourcing platforms, which leverage large groups to gather data, enhancing collection efforts with fast, detailed insights.

Enterprise SoftwareAug 21

Top 5 Open Source MDM Software

Mobile devices are a significant source of business data breaches. While some companies require sophisticated closed-source MDM software, others prefer open-source solutions to protect their devices.

DataJul 25

Automated Data Collection Tools & Use Cases in 2026

Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.

DataJun 27

Top 6 Data Collection Methods for AI and Machine Learning

While some companies rely on AI data collection services, others gather their data using scraping tools or other methods. See the top 6 AI data collection methods and techniques to fuel your AI projects with accurate data: Overview of AI data collection methods 1. Crowdsourcing Online talent platforms, such as crowdsourcing platforms, have various benefits.