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 10 SFTP Server Software in 2026
Selecting the right SFTP server software is essential for maintaining secure and efficient file transfers within an organization. We conducted a managed file transfer (MFT) benchmark across various features and scenarios to identify the leading SFTP server software providers.
Mobile Device Management Pricing Comparison: 10+ Products
Understanding pricing is crucial for Mobile Device Management (MDM) software since its cost typically grows with your organization. Pricing models include: Cost per device and per technician. Compare MDM products: MDM price comparison Ranking: From least to most expensive. Examine how the features in these columns add up to the prices.
Centralizing AI Tool Access with the MCP Gateway
We’ll walk through the evolution of AI tool integration, explain what the Model Context Protocol (MCP) is, and show why MCP alone isn’t production-ready. Then we’ll explore real-world gateway implementations for connecting AI agents to external tools. OpenAI-compatible and lightweight MCP Gateways Designed to make MCP tools easily accessible to agents and AI clients.
Top 16 UEBA Use Cases for Today's SOCs in 2026
Traditional security measures, such as web gateways, firewalls, IPS tools, and VPNs, are no longer sufficient to defend against modern cyberattacks. Attackers routinely operate using valid credentials that rule-based tools never flag. UEBA systems address this gap by monitoring non-user entities alongside human users, using machine learning to establish behavioral baselines and detect deviations.
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: Overview of AI data collection methods 1.
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.
Automated Data Collection Tools & Use Cases in 2026
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.
Top 6 Open-Source Log Analysis Tools: Wazuh, Graylog & More in 2026
As a CISO in a highly regulated industry with ~2 decades of cybersecurity expertise, I have worked with multiple SIEM-like log analysis platforms. From those, I picked the top 6 open-source log analysis tools.
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.
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.
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