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.

Some of you may remember the early days of security, when setting up a firewall or antivirus felt like enough. It was simple and gave us a sense of control. But over time, we learned that security is a moving target. What once felt sufficient quickly became just the starting point. In today’s agentic AI era, many treat their Model Context Protocol (MCP) setups the same way. If it’s running and returning results, it feels good enough. But the AI landscape is evolving rapidly.

It is becoming increasingly common for APIs to be exploited by threat actors. Broken Object Level Authorization (BOLA) attacks are also on the rise and represent a critical general vulnerability. The problem is relevant for a broad range of teams, including API-first companies, fintech teams, SaaS platforms, and mobile app backends. The impact of a BOLA vulnerability is significant, including data exposure and regulatory fines.

Over the last two years, various systems and applications have been integrated with generative artificial intelligence (gen AI) capabilities, turning regular applications into gen-AI powered applications. In addition, retrieval augmented generation (RAG)-which is the process of connecting gen-AI and large language models (LLMs) to external knowledge sources-and other agents have been incorporated into such systems, making them more effective, accurate, and updated.

AI agents are on the rise. They can spin up, act independently, use tools, and make decisions—often without real-time human oversight. They promise incredible productivity but also introduce new risks and challenges that can’t be ignored. As these agents become more autonomous and integrated into enterprise operations, they blur the lines between human and machine responsibilities. This raises critical questions: How do we ensure they act ethically?

Today, Snyk is launching a powerful enhancement to our API discovery capabilities through a strategic partnership with Akamai. This integration is designed to solve one of the most significant challenges in modern application security: the difficulty of providing API schemas for DAST scanning. By directly ingesting API inventories and their corresponding schemas from Akamai, we are transforming a difficult manual process into a seamless, automated workflow within the Snyk platform.