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 12 SIEM Tools & How to Choose the Best Solution
SIEM systems have evolved into more than just log aggregation tools. Some vendors have developed unified product suites that include UEBA, SOAR, and EDR capabilities, claiming they are “next-gen” SIEMs. Others offer products focused on traditional event and log management. Below is an overview of leading SIEM tools based on their next-gen SIEM and security…
Top 4 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…
Top Open Source UEBA Tools & Commercial Alternatives
At their core, UEBA solutions identify patterns in data, whether from real-time streams or historical datasets. After reviewing the documentation for each open-source UEBA framework and tool, I selected the leading open-source behavior analytics technologies that provide standard SIEM-like capabilities, alerting, support for the MITRE ATT&CK threat intelligence framework, and API-based ingestion from data sources.…
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. The workflows below reflect the traditional SOAR model; agentic platforms run many of these same cases…
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. One thing worth being upfront about before the list: these…
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 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…
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…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.