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Özge Aykaç

Özge Aykaç

Industry Analyst
10 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

Enterprise SoftwareMar 25

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.

CybersecurityMar 25

Top 10 Free USB Blocking Software

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

Enterprise SoftwareMar 24

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.

AIMar 9

7 Useful AI Transformation Strategies in 2026

AI transformation is the next phase of digital transformation. Businesses are willing to invest in AI technologies to stay ahead of competitors. Digital transformation is a prerequisite for companies to initiate their AI transformation, as digital data is essential for AI training, and digital processes are typically required to deploy AI solutions.

DataMar 4

Best Data Crowdsourcing Platforms

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.

CybersecurityJan 30

Top 5 Endpoint Management Software with Prices

The most common case of cybercrime is unauthorized access to unmanaged devices. As hybrid work models and bring-your-own-device (BYOD) policies become standard practice, endpoint management software has evolved from a convenience into a necessity.

DataJan 28

Top 3 Prolific Alternatives

Prolific is a popular AI data collection service that offers a crowdsourcing platform for AI data seekers. Our research identified some drawbacks of working with Prolific from the perspectives of its customers and workers.

Enterprise SoftwareJan 27

Top 10+ Mobile Device Management Software with Pricing

Companies are expected to maintain an efficient and safe IT environment. In contrast to on-premise work environments, remote and hybrid work require careful IT configuration, with a special emphasis on mobile devices. Mobile Device Management (MDM) software is evaluated on security, ease of use, granular control, scalability, and pricing models.

DataJan 27

Best Appen Alternatives in 2026 for Workers & Customers

Appen, an AI data service provider, faces challenges that may explain its declining popularity. We compared the top alternatives to Appen in the AI training data space. The alternatives to Appen depend on your goals. Explore alternatives for Appen’s: Appen alternatives for workers * Data is from Trustpilot, as it primarily consists of worker reviews.

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.