Protecting Your Campus With Shared Intelligence
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This document discusses how a shared intelligence system called CIF could help the 64 campuses in the SUNY system collectively share threat data to better protect each other from cyber attacks. CIF would normalize threat data collected from each campus, such as phishing URLs and scanning IPs, and generate security rules and lists that campuses could import into their local systems to more quickly mitigate attacks seen by other campuses. The system is already used successfully by various government and private entities to exchange threat intelligence in a standardized format.
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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UiPath Test Automation using UiPath Test Suite series, part 6
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Protecting Your Campus With Shared Intelligence
- 1. Protecting Your Campus With Shared Intelligence Jeff Murphy University at Buffalo Information Security Office jcmurphy@buffalo.edu
- 2. The Never Ending Story Everyday people on our campuses: •click on phishing URLs •open attachments that connect to botnets •are scanned for vulnerabilities
- 3. Can we deal with this on our own? • Sure. (and most of us do) • We purchase reputation services from companies like HP, Sophos, etc. • We join communities like REN-ISAC • But much of this data is already available on the Internet (for free!) • ... and in our logs (if we put in a little effort to pull it out!)
- 4. Can we do this together? • Yes! • SUNY has 64 campuses, each sees threats every day. • Since each appears distinct to an outsider, we see attacks at different times. • If we can collect and share this information using automation, campuses that see attacks early can help mitigate attacks on campuses that see the same attack later.
- 5. How do we do this? • Start with public spammer/botnet/malware data • Feed it into a system called CIF which will normalize it • Add our own data to CIF - IPs scanning our networks - URLs phishing us - spambots dumping spam into our systems • Extract high value data as snort rules, firewall rules, simple lists that can be imported into your local hygiene apps
- 6. What is CIF? • Developed by Wes Young at REN-ISAC • Scrapes the Internet for interesting datasets • Normalizes them into a format that can be queried • Provides output in a variety of formats • Actively used by many gov/private/public entities to share intelligence
- 7. CIF Overview
- 10. Example Output (Phishing URLs)
- 11. SUNY CIF? • Runs in SUNY Cloud • Accepts contributions from SUNY campuses • Available to any campus
- 12. CIF By This Guy…
Editor's Notes
- These events occur across all of our campuses, but because we each handle these events separately (generally speaking), we need to expend much more effort than if we cooperated.
- Overview for ppl who like pictures
- Example of asking for botnet C&C’s with at least a confidence of 65
- Example of asking for botnet C&C’s with at least a confidence of 65 but this time formatted as snort rules.
- Example of asking for phishing URLs with at least a confidence of 85, just listing the URLs and suppressing the rest of the meta-data.
- We can do this together, as a trial, and see where it leads us.