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Information Security

Meet other local people interested in Information Security: share experiences, inspire and encourage each other! Join a Information Security group.
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Frequently Asked Questions

Yes! Check out information security events happening today here. These are in-person gatherings where you can meet fellow enthusiasts and participate in activities right now.

Discover all the information security events taking place this week here. Plan ahead and join exciting meetups throughout the week.

Absolutely! Find information security events near your location here. Connect with your local community and discover events within your area.

Information Security Events This Week

Discover what is happening in the next few days

Taipei dbt Meetup #46 AI Ready Data
Taipei dbt Meetup #46 AI Ready Data
**dbt Meetups are networking events open to all folks working with data**! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. **➡️** For the best meetup experience, [join dbt Slack Community](https://www.getdbt.com/community/join-the-community) and find us at the #local-taipei channel. Our goal: 服務自己,解決自己的問題 Serve ourselves. Resolve our problems. 鼓勵分享經驗、交流,多看原文,多與整個 dbt community 交流 Share experience and compares notes with local-taipei and the entire dbt slack community. Read official & original documents. Don't limit yourself to Chinese. **To attend, please read the Health and Safety Policy and Terms of Participation: [https://www.getdbt.com/legal/health-and-safety-policy](https://www.getdbt.com/legal/health-and-safety-policy)** 🏠 Location: Dcard office, [台北市大安區光復南路102號14樓](https://maps.app.goo.gl/frfqttZiZCFt5TSB6) (搭電梯到 R樓再往上走一層) ✅Agenda * 19:00 \~ 19:30 Entry 進場 + 自由交流 * 19:30 \~ 19:40 Opening 開場 + attendee intro * 19:40 \~ 21:00 Talks and QA * First talk will be in English and the speaker is online. * Second talk will be in Mandrian and the speaker in in-person. * Take a picture 📸 !! * \~ 21:00 自由交流 dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: [https://www.getdbt.com/](https://www.getdbt.com/)

Information Security Events Near You

Connect with your local Information Security community

DoJo (Informal Python Meeting)
DoJo (Informal Python Meeting)
**Latest Dojo Location!** **Knotty Pine Brewing** 1765 W 3rd Ave, Columbus, OH 43212 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for speakers for our Monthly Meetups! Fill out the form if you are interested in presenting to the Python Community. https://forms.gle/ehSfUAC2WgR34Crq9
TBD
TBD
**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 You will need to scan your ID at the door to get a visitor badge. **Abstract** TBD **YouTube Link** TBD
Inside the Modern Threat Landscape: How Attackers Weaponize Trust
Inside the Modern Threat Landscape: How Attackers Weaponize Trust
What does a trojan look like when it has over 900k+ combined installs and a Forbes write-up? Exactly like a legitimate Chrome extension. This session presents a technical dissection of two Chrome extensions, each with over one million active installations — that functioned as trojans in production environments, evading detection while operating through entirely legitimate browser APIs. These were not obscure tools. They were widely trusted, actively recommended, and covered by mainstream press before their malicious behavior was fully understood. We will walk through the actual source code of both extensions, showing precisely how the malicious functionality was constructed, concealed, and executed at scale. This analysis anchors a broader examination of how modern compromises actually succeed. Drawing on aggregated real-world incident data, we identify the technique categories currently delivering the highest adversary return, and why they keep working. Spoiler: it's rarely a zero-day. It's trust. The Chrome extension deep-dive will cover: * Line-by-line source analysis of how malicious functionality was embedded within working, useful software * Which browser permission scopes were abused, and why a million users — and their IT teams — didn't see it coming * The behavioral and structural indicators that distinguish a trojan extension from a legitimate one, and how to operationalize detection around them This session closes with a practical defensive prioritization framework built around observed attacker behavior: which mitigations are measurably reducing risk in production environments, which are consuming budget without impact, and a scoring methodology your team and leadership can apply immediately. **Source material:** Primary analysis of extension source code, corroborated by reporting from Forbes and other established outlets. **What this is not:** A vendor pitch, a speculative threat narrative, or a surface-level breach retrospective. **Who should attend:** Security architects, AppSec and cloud security practitioners, blue team leads, threat hunters, browser security practitioners, and security leaders responsible for prioritizing risk and investment decisions.
Building Scalable Customer Identity Resolution Pipelines on AWS Using AI
Building Scalable Customer Identity Resolution Pipelines on AWS Using AI
Customer identity resolution becomes increasingly complex as organizations scale across multiple systems, regions, and data formats. Traditional rule-based approaches often fail to keep up with data variability, require constant manual tuning, and struggle with real-time processing needs. This session presents a practical approach to building a scalable identity resolution pipeline using AWS services and modern AI techniques. The architecture combines data ingestion through Amazon S3 and AWS Glue, transformation pipelines using Spark on EMR, and machine learning models deployed via SageMaker for entity matching and standardization. Graph-based relationship modeling is implemented using Amazon Neptune to improve resolution accuracy by incorporating household and shared attribute context. We will walk through how machine learning models can be used for name and address normalization, how intelligent blocking strategies improve matching efficiency, and how feedback loops can be introduced to continuously improve accuracy. The session also highlights how serverless components such as AWS Lambda can be used for orchestration and real-time processing. **SPEAKER BIO** Mosaic Syed is a Senior Data Engineering and Cloud Solutions Architect with over 20 years of experience designing and delivering scalable, secure, and high-performance data solutions across global enterprise environments. https://www.linkedin.com/in/mosaic-basha-syed-92300856 **CALL FOR SPEAKERS** Learn more: [https://www.awscolumbus.com/get-involved/](https://www.awscolumbus.com/get-involved/) **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: [https://www.veeam.com/](https://www.veeam.com/) **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com
Toledo For Beginners Online Speed Dating
Toledo For Beginners Online Speed Dating
🌸 **Long-Term Focused Speed Dating for Toledo Singles** If you're tired of apps that lead nowhere and want real face-to-face conversation with Toledo singles who mean it — this is that event. Live on Zoom. Guided from start to finish. Designed for people looking long-term. **Register via your age group:** - Ages 18-32: [Register Here](https://tempodating.com/product?productId=532.0&productType=onlineSpeedDating&city=Toledo&groupurlname=foster-meaningful-relationships-through-outdoor-exploration&ar=18-32&face_v=2.0) - Ages 30-46: [Register Here](https://tempodating.com/product?productId=532.0&productType=onlineSpeedDating&city=Toledo&groupurlname=foster-meaningful-relationships-through-outdoor-exploration&ar=30-46&face_v=2.0) - Ages 40-58: [Register Here](https://tempodating.com/product?productId=532.0&productType=onlineSpeedDating&city=Toledo&groupurlname=foster-meaningful-relationships-through-outdoor-exploration&ar=40-58&face_v=2.0) - Ages 55+: [Register Here](https://tempodating.com/product?productId=532.0&productType=onlineSpeedDating&city=Toledo&groupurlname=foster-meaningful-relationships-through-outdoor-exploration&ar=55+&face_v=2.0) 📌 Note: this RSVP alone doesn't secure your seat. Use the link above to complete registration and the personality questionnaire. --- **How it works:** 1. Register via your age group link and complete the personality quiz. 2. Join Zoom at the event time — works on any device, no downloads needed. 3. Connect with Toledo locals in short structured rounds — age matched, personality informed. 4. Mutual matches are shared after — take it forward at your own pace. 💙 Numbers are capped to keep it genuine. The right person might be in this room — register above to find out.
Drunken Philosophy: What’s up with all the AI hate?
Drunken Philosophy: What’s up with all the AI hate?
**Welcome to Drunken Philosophy** a casual, curious social discussion **Optional topic for this meetup: What's up with all the AI hate?** A recent survey found that 74% of Americans have a negative view of AI, and I want to know why. Come out and debate whether AI is good or bad. My hot take: a labor-saving tool that could potentially help cure cancer gets called dangerous because it might raise unemployment or cause a speculative investment bubble, that tells you a lot more about capitalism and the economic system we live under than it does about the tool itself. As a computer programmer, I think AI is a wonderful tool that has increased my productivity by at least an order of magnitude. I'd go so far as to say Claude Code is the best tool I have ever used. Debate me and name a better one. Is AI potentially dangerous? Yes, but so are a lot of tools. Chainsaws. Steam engines (early ones would occasionally explode and kill everyone in the room). Do you think cavemen sat around debating whether fire could be used as a weapon or for self-harm, and decided not to discover it? I have two friends who hate AI for opposite reasons: one thinks it's a fad and not useful, and the other thinks it's going to take over everything and cause human extinction. Come out tonight, have a friendly debate, and make some friends. No lectures. Friendly crowd. Drop in for one drink and stay if it's fun.
Quarterly Community Gathering
Quarterly Community Gathering
Join the Columbus AI community for our quarterly gathering — a casual, community-focused evening where everyone has a chance to share, learn, and connect. These open mic–style events give anyone in the community up to **5 minutes** to present a project, share a tool, pose a question, or offer a perspective on the evolving AI space. No slides required — just a welcoming space to exchange ideas and keep the local AI conversation moving. If you’d like to take the stage, message \*\*Chris (the organizer)\*\*with a **title and short description** of what you’d like to share. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.linkedin.com/company/transformlabs/) Sign up also accessible via [Transform Labs Luma](https://luma.com/transformlabshq)