--- title: "Software Security and Ethical Hacking for Developers | Smart Data" url: https://www.smartdata.net/blog/software-security-and-ethical-hacking-for-developers description: "The common software vulnerabilities behind most cyber-attacks today, and why conventional cybersecurity tools cannot detect or prevent them." source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical." --- Lunch and Learn # Software Security and Ethical Hacking for Developers Jay Brown Business Development February 11, 2024 1 min read On this page - Lunch and Learn Information Share A guide from Smart Data The AI Enablement Guide Where your data stands, and which AI use cases it can support today. [A guide from Smart Data The AI Enablement Guide Where your data stands, and which AI use cases it can support today.…](https://www.smartdata.net/ai-enablement) ## Lunch and Learn Information **February 21st, 2024** **11:30 am – 1:00 pm** **In-Person and Virtual** * **Note: This event will be held in-person. There will also be a virtual option for those that can not make it in-person. Please choose your ticket accordingly when registering. The link to join virtually will be sent out closer to the event date.** This talk will highlight and discuss some common vulnerabilities in software security that cause most cyber-attacks today and cannot be detected and prevented by conventional cybersecurity mechanisms. We will also present a teaching and training approach with hands-on hacking exercises for future software developers. The hacking exercises aim to promote awareness of software vulnerabilities and their consequences so that developers can avoid them in the development phase by applying secure programming techniques. **Speaker Bio:** Dr. Phu H. Phung is an Associate Professor and Director of the Intelligent Systems Security Lab in the Department of Computer Science, University of Dayton, where served as interim Department Chair from 2022-2023 and Undergraduate Program Director from 2020-2022. He is on sabbatical leave in 2023-2024 and was appointed as a Visiting Associate Professor at The Ohio State University in Fall 2023 and as a Visiting Scholar at the University of Cincinnati in Spring 2024. Dr. Phung’s research focuses on security solutions for intelligent web, mobile, Internet of Things, in-vehicle systems, and potentially malicious software, which has been published in prestigious security journals and conferences. Dr. Phung is an associate editor for two journals, has been a reviewer for many top security journals and conferences, and has served on the program committee for over 20 international conferences. Dr. Phung is a senior member of IEEE and ACM and has been invited to speak at many reputable institutions and industry and academic venues. ### Eventbrite/In-Person link [https://www.eventbrite.com/e/lunch-learn-software-security-and-ethical-hacking-for-developers-tickets-794332559067?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl](https://www.eventbrite.com/e/lunch-learn-software-security-and-ethical-hacking-for-developers-tickets-794332559067?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl) #### Recording Link Keep reading ## Related posts ### Lunch & Learn: Increasing Operational Efficiency with Custom GPTs Chris St. Amand · Apr 16, 2025 [Lunch & Learn: Increasing Operational Efficiency with Custom GPTs](https://www.smartdata.net/blog/lunch-learn-increasing-operational-efficiency-with-custom-gpts) ### Lunch & Learn: The Power of Automated Serverless Data Pipelines Chris St. Amand · Apr 22, 2024 [Lunch & Learn: The Power of Automated Serverless Data Pipelines](https://www.smartdata.net/blog/lunch-learn-the-power-of-automated-serverless-data-pipelines) ### AI and the Trust Problem in Healthcare Jay Brown · Oct 19, 2023 [AI and the Trust Problem in Healthcare](https://www.smartdata.net/blog/ai-and-the-trust-problem-in-healthcare) Go further ## Not sure your data is ready for AI? The guide covers data maturity, use cases by readiness level and industry perspectives, so you can see where your platform stands before you pick a model.