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 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.Used with a clear teaching purpose, generative AI technologies can improve learning and support skills such as critical thinking, creativity, and collaboration.
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.
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.
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional user research takes weeks: recruiting participants, scheduling sessions, and manually coding transcripts. Synthetic user platforms compress that timeline to hours by generating AI-driven personas you can interview, survey, and test against without the logistics.
Top 6 Open Source Sensitive Data Discovery Tools
The following tools are selected based on GitHub activity and sorted by GitHub star count in descending order. They cover the main use cases for sensitive data discovery: metadata cataloging with lineage, agentless scanning, and API-based detection of PII, PCI data, and credentials at rest. Read more: Sensitive data discovery & classification tools, DLP software.
Multi-Factor Authentication (MFA) Pricing and Plans
Listed MFA pricing and plans vary based on several factors which increase costs: *$1,500 annual contract minimum. How to select the right MFA plan? An MFA solution that is sufficient for individual usage may not be suitable for a large enterprise with several customers, partners, and business consumers.
Top 10 Application Security Tools: Features & Pricing
The global application security market was valued at USD 10.65 billion in 2025 and is projected to reach USD 42.09 billion by 2033, with a 18.8% CAGR, driven by surging attacks on web and mobile applications, cloud-native adoption, and regulatory requirements, including the EU Cyber Resilience Act.
Top 10+ Network Observability Tools
Network observability gives organizations visibility into network performance, enabling faster identification and resolution of infrastructure issues. Tools in this category increasingly use AI to automate anomaly detection across traffic and device health. Top 8 network observability tools * Reviews are based on Capterra and G2.
GPT-5: Best Features, Pricing & Accessibility
We have GPT-5.2, the latest and one of the most advanced language models. GPT-4 vs. GPT-5 The interactive comparison below shows how GPT-5 differs from GPT-4 across architecture, performance, and pricing.
Top 5 IBM Watsonx Competitors
Businesses use conversational AI to handle customer questions at scale and reduce wait times. While IBM’s Watsonx Assistant is one of the more established solutions in this space, it isn’t always the best fit for every team. Factors like company size, budget constraints, and technical resources can all influence whether it’s the right choice.
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