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Özge Aykaç

Özge Aykaç

Industry Analyst
49 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

CybersecurityDec 4

Top 10 USB Blocking Software

Based on our DLP review benchmark, user reviews & feature comparisons, here are the top 10 USB Blocking Software alternatives. See why we selected them by following the links below: Unmanaged devices increase data breach risk. Control over devices, including USBs, is key to effective cybersecurity.

DataDec 3

Audio Data Collection for AI: Challenges & Best Practices

As the demand for voice recognition and virtual assistants grows , so does the need for audio data collection services. You can also work with an audio or speech data collection service to acquire relevant training data for your speech processing projects.

DataDec 3

5 Steps to OCR Training Data

The interest in optical character recognition (OCR) and intelligent character recognition (ICR) technology is falling as companies switch to more automated solutions, such as machine learning-enabled data extraction. However, due to its various benefits, many companies still use or plan to use tools powered by OCR technology in their paper-based operations.

Enterprise SoftwareDec 3

Top 6 Economical iPaaS Vendors

Businesses are struggling with app sprawl, as the average company uses ~370 apps. App sprawl causes employees to copy and paste across applications, resulting in slow, error-prone processes. An integration platform as a service solution (iPaaS) can resolve this issue.

Enterprise SoftwareDec 3

7 AI Transformation Strategies

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.

CybersecurityNov 30

15 Best Data Loss Prevention (DLP) Software

Based on our DLP benchmark & features, here are the top data loss prevention tools.

CybersecurityNov 30

DLP in Banking: Best Software & Practices

To protect against rising data threats, banks and financial institutions must implement effective data loss prevention software and strategies tailored to their unique banking-sector needs. Here, we list the best DLP software based on banking and finance-specific criteria and provide best practices to help your business protect its confidential data. 1.

CybersecurityNov 30

DLP Review: Benchmark Testing of 6 DLP Products

Leveraging my 2 decades of experience as a cybersecurity practitioner, I selected the top DLP software for securing sensitive information & complying with regulatory standards. I tested 6 of these DLP solutions over a month, focusing on key features like channel coverage, ease of deployment, and classification accuracy.

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.

CybersecurityNov 30

Top 10 Sophos Competitors & Alternatives

Sophos is a popular player in the DLP software and cybersecurity markets. However, our analysis identified some shortcomings of its products. Based on our DLP benchmark of the top 6 DLP products, we identified the top Sophos competitors to assist businesses in finding the best DLP software.