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Sena Sezer

Sena Sezer

Industry Analyst
62 Articles
Stay up-to-date on B2B Tech
Sena is an industry analyst at AIMultiple. She has experience in software development and website design, combining technical execution with user-centered thinking. Her cross-functional background enables her to bridge technical analysis with business impact effectively.

Research interests

Sena’s research focuses on emerging AI architectures and enterprise AI infrastructure, particularly in the following areas:

  • Agentic web architectures

  • AI memory systems

  • MCP

  • Chatbots and ChatGPT

  • Multi-factor authentication (MFA)

Her work explores how autonomous AI agents interact with web environments, how memory layers enhance contextual reasoning, and how AI systems can be securely deployed and governed within enterprise environments. She is particularly interested in the intersection of AI orchestration, system control, and security frameworks.


Sena is part of the AIMultiple benchmark team. She is working with the AIMultiple tech team to formulate an MFT, IGA benchmark that includes top MFT software providers.

Professional experience

Sena has over 3 years of experience as a technical marketer in e-commerce, where she focused on SEO strategy, product positioning, and data-driven content optimization. She has hands-on experience improving search rankings, enhancing site performance, and aligning technical product specifications with customer expectations.

In addition to her marketing background, she has experience in software development and website design, combining technical execution with user-centered thinking. Her cross-functional background enables her to bridge technical analysis with business impact effectively.

Education




  • She graduated with a Bachelor's degree in Psychological Counselling from Bogazici University.
  • Sena completed a Front-End Development Bootcamp at Recoded, which has a 5% acceptance rate.




Latest Articles from Sena

AIMay 14

Top 25 Generative AI Finance Use Cases in 2026

I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify.

CybersecurityMay 14

Top 10 Free PAM Solutions

There are no plug-and-play free PAM solutions for production environments. A few vendors offer free tools with PAM capabilities for low-scale deployments. Some, such as Devolutions Hub, also have paid business plans with approval workflows and reporting.

CybersecurityMay 14

Top 10 Open source / Free DAST Tools Compared

We relied on our research on vulnerability scanning tools and DAST to select leading open-source DAST tools and free versions of proprietary DAST software. See our rationale by following the links on product names: As the cost and frequency of cyberattacks increase, businesses are increasingly adopting DAST tools to enhance their security posture.

CybersecurityMay 14

Top 5 DNS Security Solutions: Features & Benchmark

We compared the top DNS security solutions, their features, pricing, and unique aspects to help you find the right protection for your network. Click the product names to see why we recommend them: Benchmark Results With over 20 DNS security tools on the market, picking the right one isn’t straightforward.

CybersecurityMay 14

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.

AIMay 14

Top 50 Deep Learning Use Case & Case Studies

Deep learning uses artificial neural networks to learn from data. When trained on large, high-quality datasets, it achieves high accuracy, making it valuable wherever you have abundant data and need accurate predictions. Below are real deep learning applications across industries and business functions, with concrete examples.

Enterprise SoftwareMay 12

Axway MFT: A Comprehensive Guide in 2026

Managed File Transfer (MFT) solutions handle secure data movement between systems. Traditional protocols such as FTP and HTTP lack the security and compliance features that modern enterprises require. Axway is part of 74Software, formed through the combination of Axway and Sopra Banking Software, serving over 11,000 companies globally, including 1,500+ financial service customers.

AIMay 12

Generative AI in Retail: 7 Use Cases & Examples

Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can address most of these issues through automation, particularly by enhancing their ability to analyze customer data to deliver more personalized experiences.

AIMay 12

AI Text Generation: Top 17 Use Cases & 5 Case Studies

Generative AI, a subset of artificial intelligence, enables the creation of new content, such as text, code, images, designs, and videos, by learning from and building on existing data.

Enterprise SoftwareMay 8

RMM Pricing in 2026: 10 Products Analyzed

RMM tools don’t make pricing easy to compare. Some charge per device, some per technician, and the difference adds up fast depending on how your team is structured. We reviewed 10 pricing models and put together a calculator so you can run the numbers for your setup.