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
Multi-Factor Authentication (MFA) Pricing and Plans
Listed MFA pricing and plans vary based on several factors which increase costs: Number of users: The size of the user base. Single sign-on (SSO): The number of users who can log in with an SSO ID across multiple systems. Number of additional services: Threat detection, granular admin controls, and end-to-end encryption. Adaptive MFA capabilities:…
CRM AI Systems: Top 5 Vendors and Key Features
We tracked 50+ product announcements from major CRM vendors, analyzed integration launches from Salesforce, HubSpot, and Microsoft, and cross-referenced adoption data from 15+ industry research reports to understand which AI CRM features actually deliver value versus marketing hype. ClickUp dominates search interest with a 60-70% share, well ahead of the field. Pipedrive holds a steady…
AI Web Browsers: Selection Guide in 2026
We tested 10 AI-powered browsers by running identical tasks across each platform: webpage summarization, multi-site research, form automation, and cross-tab workflows. We documented which features worked as advertised and which failed during actual use. A comparison of 10 browsers tested across 4 categories, updates on product launches, and concrete examples of what each browser can…
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…
MongoDB Monitoring: SolarWinds vs New Relic vs Datadog
We installed SolarWinds, Datadog, and New Relic on clean systems running MongoDB 7.0 to test. We went through each tool’s complete setup process, documenting every step and roadblock. MongoDB Performance Monitoring Tools Benchmark Results PlatformSetup TimeQuery ProfilingMetric AccuracyRAM UsageBest For SolarWinds5 min✅ 100% accurateMedium (500MB)Production optimization New Relic15 min❌Low (23 to 800% error rates)Low (90MB)Basic…
Top 6 Open-Source Log Analysis Tools: Wazuh, Graylog & More
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. In evaluating these tools, I focused on key factors such as log collection flexibility, real-time event detection, scalability, and support for…
Top Open Source UEBA Tools & Commercial Alternatives
At their core, UEBA solutions identify patterns in data, whether from real-time streams or historical datasets. Commercial UEBA tools such as ManageEngine Log360 keep their proprietary ML models closed. Having access to these models allows analysts to extract relevant patterns from data and refine anomaly-detection processes. Open-source UEBA tools give users full access to these…
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 Method Cost Scalability CustomizationData Quality Control Crowdsourcing Low to Medium High Medium…
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. What is data collection automation? Data collection automation uses technology software scripts, bots, APIs, or dedicated platforms to gather, organize,…
Top 6 AS2 Software in 2026
Finding AS2 software that fits your budget and technical needs takes some digging. We’ve narrowed down the options to managed file transfer tools that actually deliver on AS2 support: VendorsRating*Free TrialEmployee SizePrice JSCAPE MFT by Redwood{{5368043->score}} based on {{5368043->review_count_w_label}}✅{{5368043->number_of_employees}}Starting from: $4,299/One Time {{8288262->name}}{{5779886->score}} based on {{5779886->review_count_w_label}}✅{{5779886->number_of_employees}}Not shared publicly {{8028476->name}}{{8028476->score}} based on {{8028476->review_count_w_label}}❌{{8028476->number_of_employees}}Not shared publicly {{5538470->name}}{{5538470->score}}…
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