Sena Sezer
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
Latest Articles from Sena
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: Data crowdsourcing involves assigning data-collection tasks to the public, providing instructions, and creating a platform for sharing. Businesses…
Top 15+ Open Source Incident Response Tools
Based on their categories and GitHub stars, here are the leading open-source incident response tools to help you automate detecting and resolving security breaches. See the explanation of incident response tools and pure incident response tools. See the explanation of categories. Tool selection criteria: Graylog is a SIEM and log management platform for collecting, analyzing,…
Synthetic Users Explained: Top 7 AI User Research Tools
After evaluating 10+ AI research platforms and reviewing independent validation studies, we found synthetic users work best for hypothesis generation and early-stage testing, not final design decisions. Viewpoints.ai creates synthetic consumer panels for market research testing surveys, concepts, and ad creative without recruiting real participants. What it does: Key features: Brox.ai focuses on product testing…
Top 10 Globalscape Alternatives
We analyzed the leading alternatives to GlobalScape in the secure file transfer space. The right choice depends on what’s driving your search: * Ratings are based on Capterra and G2. The vendors are listed according to the review rates. GlobalScape handles enterprise file transfers through folder monitoring and trigger-based automation. Watch a directory, and the…
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: With over 20 DNS security tools on the market, picking the right one isn’t straightforward. Most evaluations come down to five factors.…
Automated Data Collection Tools & Use Cases
Automated data collection uses systems to gather, process, and analyze information efficiently. Since automated data comes from multiple sources in various formats, understanding the different types and their origins is essential to implementing it effectively. Data collection automation uses scripts, bots, APIs, or dedicated platforms to gather, organize, and store data from multiple sources without…
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. Explore how generative AI can be used to generate content in the form of text via 17 use cases and 5 case studies of AI text…
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