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Ezgi Arslan, PhD.

Ezgi Arslan, PhD.

Industry Analyst
97 Articles
Stay up-to-date on B2B Tech

Ezgi is an industry analyst at AIMultiple.

Research focus at AIMultiple

  • AI agent applications in finance where she combines her finance expertise with emerging AI tools.
  • Sustainability where she relies on her academic research background.
  • Procurement technologies where she bases upon her experience in finance.
  • Surveys and sentiment analysis for user insights where she rests on her academic experience.
  • Network security, including firewalls, firewall management, and orchestration where she applies her industry analysis experience.

Professional experience

Ezgi worked both in academia and the industry before:
  • Çankaya University as Part-time Teaching Staff
  • TED Ankara College as Education Support Specialist
  • TED University as Teaching Assistant
  • AKFEN Holding Inc. as Finance Specialist

Education

Graduated with a PhD. from the Department of Business and Administration at Bilkent University.

Academic publications

  • Arslan E. and Tanyeri-Günsür B. (2025). Ambitious sons and understanding daughters: investor perceptions of gender and the valuation of family firms". Gender in Management: An International Journal, 1-22, DOI: 10.1108/GM-11-2024-0636.
  • Alp, E. (2024). An Examination of Factors in Financial Asset Valuation. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 12 (Special Issue), 60-72. DOI: 52122/nisantasisbd.1467788.
  • Tanyeri A. B., and Alp E. (2023). Law as an external governance mechanism: valuation of family firms in countries with differing judicial protection of shareholder rights. Corporate Governance: An International Review, 1-22, DOI: 10.1111/corg.12484.

Conference presentations

Latest Articles from Ezgi

Cybersecurity
Open World Evaluation
Jul 30

Top 10+ USB Blocking Software

The USB blocker software market has a projected growth of $7.89 billion by 2030, reflecting increasing enterprise focus on preventing data exfiltration via removable storage devices.1 Based on our DLP review benchmark & feature comparisons, we summarize the top 10 USB Blocking Software alternatives, including Acronis and Netwrix. See why we selected them by following…

Cybersecurity
Open World Evaluation
Jul 30

Top 6 Device Control Software

Device control solutions are often offered alongside features like Data Loss Prevention (DLP) and Mobile Device Management (MDM) to address a wide range of security needs. Our analysis compares six solutions based on feature sets, integration capabilities, and user feedback from B2B review platforms. List of common device control software features and key criteria for…

Cybersecurity
Open World Evaluation
Jul 30

Top 10 DSPM Vendors to Enhance Data Security

As a technology and information security leader, I selected the top 10 DSPM solutions to discover, classify, and protect sensitive data across IaaS, SaaS, and DBaaS environments. Explore the rationale behind each choice through the links below: Vendors with: Vendors with: Vendors indicate that pricing varies based on the number of data sources, apps, and…

Cybersecurity
Open World Evaluation
Jul 30

Top 7 Open-Source DLP Software

While open-source DLP software offers viable solutions for data protection, larger enterprises often turn to closed-source DLP software for enhanced centralized key management and cloud-native deployment options. Below are the top five open-source DLP tools, evaluated for detection accuracy, deployment complexity, and community support. Inclusion criteria: All software offering open-source DLP or configurable DLP functionality…

Cybersecurity
Insight
Jul 30

7 Network Security Use Cases

Network security protects the systems, traffic, and accounts that run an organization. We examine seven network security use cases each a real-world example, ranging from detecting insider threats to managing privileged access. Malicious insiders account for a large share of reported security incidents,21 making it hard to distinguish normal activity from harmful activity, since these…

AI
Insight
Jul 30

State of OCR technology: Is it dead or a solved problem?

Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR technology is relatively mature and no longer called AI, which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.37 In our OCR benchmark, DeltOCR, a large language model, correctly reads…

Enterprise Software
Open World Evaluation
Jul 30

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. See leading mobile device management…

Cybersecurity
Insight
Jul 30

Top 8 SIEM Use Cases and Real-life Examples 

SIEM addresses this by correlating data across the entire environment, endpoints, networks, cloud applications, and authentication systems to surface connections that no single tool would catch. A login at 2 am isn’t suspicious on its own. That same login, combined with a spike in outbound transfers and a new USB device, is a different story.…

Cybersecurity
Open World Evaluation
Jul 30

Top 6 Endpoint Management Software with Prices

The most common case of cybercrime is unauthorized access to unmanaged devices.55 As hybrid work models and bring-your-own-device (BYOD) policies become standard practice, endpoint management software, such as NinjaOne Endpoint Management and Acronis Cyber Protect, has evolved from a convenience into a necessity. We analyzed the leading endpoint management platforms based on their differentiating features,…

Data
Insight
Jul 30

Top 15 Training Data Platforms

A model is as good as the data it learns from. Supervised models need accurate, well-labeled examples to make correct predictions. Training data platforms cover the steps between raw data and a usable dataset: sourcing, labeling, and quality checks. See the top training data platforms, split by data marketplaces and data labeling tools, and mapped…

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