ISC2 Silicon Valley - July 2026 Chapter Meeting
📍 In-person meeting at Palo Alto Networks HQ — Santa Clara
🙏 This month's meeting is generously hosted and sponsored by Palo Alto Networks.
Join the ISC2 Silicon Valley Chapter for our July 2026 meeting. As agentic AI moves into production, data is the asset under pressure — flowing through training, retrieval, tool use, and agent memory, and exposed at every step. This month we're doubling up with two complementary angles: the practical, framework-aligned playbook for securing data across LLMs and agentic systems, and the research frontier on generative models that keep data useful while protecting the individuals behind it.
🎤 Session 1 | Securing Data in the Age of Agentic AI: Practical Best Practices for LLMs and GenAI
Sanjeev Agarwal, Founder & CISO, BIDODI Infosec
Agentic systems move and transform data across training, retrieval (RAG), tool use, agent memory, telemetry, and inference — and every one of those stages is a control point. This session walks through the real-world data security and privacy risks of LLMs and GenAI, mapped to OWASP guidance and aligned with NIST AI RMF, MITRE ATLAS, GDPR, HIPAA, CCPA, and ISO 27001. Attendees leave with a concrete framework for evaluating AI data risk and a toolkit of practical safeguards — data minimization, anonymization, pseudonymization, encryption, access controls, input validation, output filtering, and monitoring — applied across the full AI lifecycle.
About the Speaker
Sanjeev Agarwal is Founder & CISO of BIDODI Infosec, an AI and Agentic AI Security startup. He is an active member of the OWASP Agentic Security Initiative, OWASP AI Exchange, the Cloud Security Alliance's AI Safety Initiative, and the AIUC-1 Consortium — the world's first standard for AI agents. Prior to this he was Head of Product Security for SAP-IAG at SAP Labs. He has been working in the application and information security domain for 20+ years.
🎤 Session 2 | Generative Models for Trustworthy AI: Balancing Data Utility and Individual Anonymity
Dr. Yuhong Liu, Associate Professor, Computer Science & Engineering, Santa Clara University
Synthetic data promises a way to share and train on sensitive information without exposing the individuals behind it — but utility and anonymity are in constant tension. Dr. Liu explores how generative models can be designed for trustworthiness, keeping data useful while protecting individual privacy across responsible AI applications.
About the Speaker
Dr. Yuhong Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She received her B.S. and M.S. from Beijing University of Posts and Telecommunications (2004, 2007) and her Ph.D. from the University of Rhode Island (2012). Her research spans responsible and trustworthy AI, synthetic data generation, agentic AI at the edge of the power grid, online social media, IoT, and blockchain. She has published over 100 papers in prestigious journals and peer-reviewed conferences, serves as an Associate Editor for IEEE TCSVT, IEEE TSC, and Multimedia Tools and Applications, and sits on the IEEE Computer Society Board of Governors (2025–2027) as its Secretary. She is a 2025 IEEE CS Distinguished Contributor.
📅 Event Details
📅 Date: July 14, 2026
⏰ Time: 6:00 PM – 8:00 PM PT
📍 Format: In-person
🎓 Education: CPE-eligible
🏢 Venue
Palo Alto Networks
3000 Tannery Way, Santa Clara, CA 95054
Building 1, 1st Floor
Multi-purpose Rooms 4 & 5 (SC1.1.414 / SC1.1.415)
🅿️ Parking Parking is available in P1 South and in the lot in front of Building 2. A campus map will be shared with registrants.
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🤝 Join the Community: https://forms.gle/DHMUh2uh4F5sjPXv6
🎙️ Speaker Opportunities — Open Call
ISC2 Silicon Valley is booking sessions through Q4 2026, and we're opening the mic to the wider cybersecurity community. Not an ISC2 member? Doesn't matter. If you've got something worth sharing, we want you on our stage.
Hard-won lessons. Fresh research. War stories you can finally talk about. First-time speakers and seasoned presenters all welcome.
⏱️ Up to 40 minutes + Q&A
📍 In-person at our monthly meeting
🎓 CPE-eligible for attendees