Registration required: June 12, 2025 – 7:00pm – 9:00pm Pacific Time | 2 CPEs
Session One – Fractional Pentesting – What it is, How to Leverage it, and other Nuances
Traditional pentesting struggles to keep up with today’s continuous delivery cycles. While automated tools help, they can’t replace human ingenuity in security testing. Organizations need fast, on-demand access to skilled ethical hackers—without the delays of traditional engagements.
Fractional pentesting solves this by providing ad-hoc, expert-driven security testing exactly when and where it’s needed, helping teams stay secure at the speed of modern development.
In this session we’ll look to understand what it is and how it can be leveraged.
Currently the founder of DarkHorse Security, Grant has been in cybersecurity since 2012, with experience as an ethical hacker, as well as an executive – most recently as the VP of Operations at Bugcrowd. Since leaving Bugcrowd in 2024, he’s been on a mission with DarkHorse to make proactive security accessible and affordable for organizations of all sizes and budgets. In his free time he enjoys trail running, playing with his dog, hiking, bluebird powder days, building, breaking, and being in the mountains.
DarkHorse Security is on a mission to make proactive accessible and affordable for organizations of all sizes and budgets. Every business needs to have access to cybersecurity essentials, and they’re currently doing that by offering penetration testing, manual vulnerability assessments, bug bounties, vulnerability disclosure programs, and fractional pentesting.
Session Two – Mitigating Data Exposure Risks in GenAI Tools
In this presentation, we will explore the security challenges associated with generative AI tools like Microsoft Co-pilot and Google Gemini. As these tools become increasingly integrated into enterprise environments, they bring significant benefits but also pose unique risks related to data exposure and oversharing. We will discuss best practices for mitigating these risks, including strategies for managing permissions, implementing robust data protection policies, and leveraging advanced security technologies. Attendees will gain insights into how to secure their AI-driven workflows and ensure that sensitive information remains protected.
James Pham is the Co-founder and CEO of Opsin, a cyber security company dedicated to safeguarding enterprises from data exposure risks associated with Microsoft Co-pilot and Google Gemini. Opsin is base out of San Jose, CA and backed by prominent VCs in Sillicon Valley. His journey in AI/ML began years ago at Massachusetts Institute of Technology (MIT), where he taught Machine Learning classes. James led Abnormal Security’s core Machine Learning capabilities, focusing on NLP and Behavioral AI. Previously, he was Head of Products, Decentralized AIs at 3Box Labs and before that as Principal Product Manager at Pure Storage.
Opsin safeguards enterprises from data exposure risks in using Microsoft Copilot and Google Gemini. Opsin offers a robust solution by providing risk assessment, actively monitoring, and remediating potential threats to ensure your enterprise remains secured.
