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
Compare 10 Open Source MFA Tools
When starting your free and open source multi-factor authentication (MFA) implementation, consider: Features of open source MFA solutions All tools (except LDAP) support hardware tokens (e.g., YubiKey) and the FIDO2 / WebAuthN passwordless authentication protocol. FIDO2 does not use shared secrets, such as passwords; it minimizes the vulnerabilities associated with data breaches.
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.
Best LLMs for Extended Context Windows in 2026
We ran a proprietary 32-message conversation test on 22 leading AI models to see how much of their advertised context windows actually work. The conversation includes synthesis tasks that require recalling information from earlier messages, not just parroting the last thing said.
Top 6 Log Analysis Software Including Solarwinds in 2026
When servers crash at 3 AM or applications start throwing errors, teams need to quickly understand what went wrong. Log analysis platforms help by collecting scattered log files from different systems and making them searchable in a single location.
CRM Pricing & Features Compared: See $/Seat Prices
Factors influencing CRM pricing
Top 10 Network Monitoring Software
We tested network monitoring tools to find which ones actually deliver on their promises. Here’s what we found after benchmarking performance, ease of setup, and real-world usability. See the top network monitoring tools, assessment of their user experience, and their key features: * Vendors are ordered alphabetically.
Top 25 Generative AI Finance Use Cases in 2026
I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify.
Code Execution with MCP: A New Approach to AI Agent Efficiency
Anthropic introduced a method in which AI agents interact with Model Context Protocol (MCP) servers by writing executable code rather than making direct calls to tools. The agent treats tools as files on a computer, finds what it needs, and uses them directly with code, so intermediate data doesn’t have to pass through the model’s memory.
50+ ChatGPT Use Cases with Real Life Examples
ChatGPT hit 900 million weekly active users in early 2026, roughly 10% of the world’s population. OpenAI reached $10 billion in annual recurring revenue by mid-2025. But what are those 900 million people doing with it? OpenAI and Harvard economist David Deming analyzed 1.5 million conversations to find out.
Top 6 AS2 Software in 2026
Finding AS2 software that fits your budget and technical needs takes some digging.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.