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
GPT-5 Model Family: Features, Benchmarks & Pricing
OpenAI released the GPT-5.6 model family on July 9, 2026. The family includes GPT-5.6 Sol for complex reasoning and professional workflows, GPT-5.6 Terra as a balanced option, and GPT-5.6 Luna for faster, cost-sensitive workloads. We examine their specifications, published benchmark results, pricing, availability, and differences from previous GPT models. The three GPT-5.6 models use the…
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,…
Best Appen Alternatives 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…
Top 3 Prolific Alternatives
We analyzed Prolific’s top alternatives by comparing participant ratings, crowd size, payment terms, and verified platform data. The right alternative depends on whether you’re a worker looking for tasks or a research buyer looking for data the tradeoffs differ significantly between the two. This section compares Prolific’s alternatives based on criteria useful to its participants…
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…
20+ AI Agent Builders: Microsoft, CrewAI, LangGraph and More
After reviewing the documentation and spending several hours testing these AI agent builders, we compiled a list of the best open-source frameworks and low-code/no-code platforms. To demonstrate AI agent builder use cases, we provided a tutorial on building a product-expert agent with CrewAI. Low-code/no-code platforms with prebuilt tools are best for enterprise workflow automation tasks…
MySQL Monitoring: SolarWinds vs New Relic vs Datadog
We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: Ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads. See our complete MySQL test methodology…
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…
Best Vulnerability Management Tools
We benchmarked four leading vulnerability management tools across 11 dimensions. The results reveal a market where “vulnerability management” means four different things to four vendors. Some build CVE-first detection pipelines; others track patch availability as a proxy for risk; one explicitly delegates scanning to third-party tools. Detection latency: A known-vulnerable binary was installed on a…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.