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
MongoDB Monitoring: SolarWinds vs New Relic vs Datadog
We installed SolarWinds, Datadog, and New Relic on clean systems running MongoDB 7.0 to test. We went through each tool’s complete setup process, documenting every step and roadblock. You can also see how these platforms monitor MySQL and our test environment and methodology SolarWinds finished the MongoDB integration in under 5 minutes. Solarwinds opens with…
Top Open Source UEBA Tools & Commercial Alternatives
At their core, UEBA solutions identify patterns in data, whether from real-time streams or historical datasets. After reviewing the documentation for each open-source UEBA framework and tool, I selected the leading open-source behavior analytics technologies that provide standard SIEM-like capabilities, alerting, support for the MITRE ATT&CK threat intelligence framework, and API-based ingestion from data sources.…
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 6 AS2 Software in 2026
Finding AS2 software that fits your budget and technical needs takes some digging. We’ve narrowed down the options to managed file transfer tools that actually deliver on AS2 support: JSCAPE MFT Server handles AS2 transfers with Drummond certification, which means it meets industry standards for encryption, digital signatures, and MDNs (Message Disposition Notifications). The platform…
Best Appen Alternatives in 2026 for Workers & Customers
We analyzed the top Appen alternatives by comparing worker review ratings from Trustpilot, crowd size, payment schedules, and publicly available company data. The alternatives differ significantly depending on what you need from Appen. Browse by role: * Data is from Trustpilot, as it primarily consists of worker reviews. ** Data gathered from worker reviews. In…
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. See the examples and benefits…
The Future of Large Language Models
See the future of large language models by delving into promising approaches, such as self-training, fact-checking, and sparse expertise that could address LLM limitations. Success rate comparison of LLM’s Claude Sonnet 4.6 led the benchmark with an overall score of 0.748, with base and thinking variants tied to three decimal places. Claude Opus 4.8 (0.702),…
10 SOAR Use Cases with Real-World Workflow Examples
Generic SOAR use cases rarely hold up in practice; the right automation depends entirely on your environment, alert volumes, and how your SOC is structured. The use cases below are tailored to specific scenarios and include step-by-step workflow breakdowns. The workflows below reflect the traditional SOAR model; agentic platforms run many of these same cases…
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. Deep learning models identify, classify, and analyze structured data,…
Top 13 Use Cases of Generative AI in Education
According to the OECD Digital Education Outlook, 57% of lower secondary teachers state that AI helps them create or improve lesson plans.80Used with a clear teaching purpose, generative AI technologies can improve learning and support skills such as critical thinking, creativity, and collaboration. Explore the top 13 use cases to learn how generative AI can…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.