Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI coding assistants are transforming how enterprise software gets built. Developers at every level are prompting their way to production-ready APIs, MCP integrations, and agentic workflows faster than any security team can review them. The problem is that none of those assistants knows your internal security standards, regulatory obligations, or risk tolerance. The result is insecure patterns shipping unnoticed, vulnerabilities discovered downstream when fixes are costly, and compliance becoming a guessing game on every commit.

GitGuardian's validity-override API lets security and engineering teams tell GitGuardian whether an exposed credential is actually valid, even when automatic checks mark it as Failed to Check. Secrets tied to internal services, private APIs, or systems GitGuardian cannot reach often fall into this category. GitGuardian automatically validates most supported credential types, but when it cannot, teams can now perform their own validation and feed the result back into the platform.

AI is making decisions across your environment — calling APIs, accessing data, and taking action. Most organizations know it's happening, but far fewer can see it, let alone stop it. In this panel discussion, security leaders will share what they've learned deploying and governing AI workloads at scale on AWS, and what it takes to close the gap between deployment and accountability.