Session: Securing the Autonomous Frontier: How Agentic AI and Neural Networks Are Reshaping Blockchain Security
As agentic AI systems gain the ability to act, transact, and make decisions autonomously, blockchain networks face an entirely new threat landscape. This session explores how neural network-driven attack vectors are evolving, how smart contract vulnerabilities are being exploited by AI agents, and what the next generation of blockchain security architecture must look like. Drawing from real-world experience at the intersection of decentralized finance and enterprise security, attendees will leave with actionable frameworks for building resilient, AI-aware blockchain ecosystems.
Bio
I am a Senior Security Engineer at Ripple, where I work at the cutting edge of blockchain security and emerging technology infrastructure. I specialize in identifying and addressing security challenges across decentralized systems and AI-driven environments, with a focus on the intersection of agentic AI, neural networks, and blockchain security. As a Cornell University alumna, I bring a data-driven, forward-thinking approach to building resilient ecosystems in Web3 and beyond. I am passionate about driving meaningful innovation in the security landscape and empowering the next generation of women in tech.