Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI is reshaping how software is made, secured, and scaled. At Snyk’s Lighthouse event in Silicon Valley, leaders from engineering, security, and platform teams gathered to explore one big question: How do we build AI-powered systems that move fast, without breaking trust? For many, that future is already here — 60% of organizations at the Summit reported building agentic apps internally. The answers weren’t just technical. They were cultural. Organizational. Strategic.

When we talk about healthcare today, it’s impossible not to consider application security. As healthcare providers increasingly lean on digital solutions to deliver patient care, they are creating an explosion of healthcare data requiring protection to ensure its confidentiality, integrity, and availability.

As the Chief Information Security Officer at Snyk, my primary role is to ensure the security and integrity of our products, our systems, and our customers' data. But my responsibility extends beyond our walls. It involves championing a vision for a more secure digital world—a vision I am proud to say we share with the U.S. Cybersecurity and Infrastructure Security Agency (CISA).

At Snyk, we believe you should never have to choose between speed and security. As the age of AI transforms software development, our goal is to extend our developer-first security approach to this new era, providing the essential tools your teams need to build with confidence. Today at Black Hat, we are delivering on that vision with three tangible innovations that offer a comprehensive solution to secure the entire code lifecycle with AI.

xx.

xx.

In late July 2025, users discovered that ChatGPT chats, initially shared via link, were appearing in search engine results on platforms such as Google, Bing, and DuckDuckGo. These shared conversations included personal content relating to mental health, career concerns, legal issues, and more, without any indication of a data breach. Instead, the exposure resulted from a now-removed feature that enabled discoverability via search indexing.

Generative AI has transformed software development almost overnight. From coding assistants to AI-native applications, tools are evolving faster than most teams can keep up with. But the rapid evolution of AI comes with its own cost: mental fatigue. Even among AI developers, most don’t consider themselves experts in generative AI. Between shifting tools, growing security risks, and a flood of hype, it’s no surprise that developers and security teams feel overwhelmed.