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 5 Open Source SOAR Tools
I’ve spent nearly two decades as a CISO in heavily regulated industries long enough to have tested, deployed, and ripped out more SOAR tools than I’d like to admit. Most open-source options look promising on documentation, but fall apart when you actually run them in production. SOAR tools rely on accurate endpoint data and actionable…
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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