Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this quick introductory video, Mathieu Bellon, Senior Product Manager at GitGuardian, sits down with Dwayne McDaniel, Developer Advocate, to cover some of the advancements GitGuardian has made by integrating machine learning directly into the secrets security platform. Mathieu describes how engineers and responders can save serious time as by automating contextual analysis, geving the humans in the loop with the best information to be able to take an informed action when it comes to secrets leaks. They also discuss the security implications and where teams can look if they want to opt out or bring their own agents.

Watch the teams of GitGuardian and CyberArk for a demo-first session on how MCP (Model Context Protocol) servers can help you tame secrets sprawl and vault sprawl by letting developers use AI to trigger the right actions, with far less cognitive load! What you’ll learn.

GitGuardian’s 2026 State of Secrets Sprawl Report reveals a 34% increase of new hardcoded secrets were exposed on public GitHub in 2025. Join us to discuss the number and types of secrets we discovered, and other key findings, with our expert panel!

In this video, we explore the growing security risk of prompt injection in large language model (LLM) applications. As AI becomes embedded in more products, new vulnerabilities emerge, especially through natural language manipulation. We break down how LLMs work, the importance of system prompts, and demonstrate five real-world prompt injection techniques used to extract sensitive information or bypass safeguards. You’ll see live examples using different models and learn why newer models are more resilient, but still not immune.

AI agents are tireless, highly capable, eager to please, but difficult to manage. George Chamales (CriticalSec) and Josh Rector (Ace of Cloud) unpack the identity and access challenges posed by agentic AI. How do you verify it was the right agent, doing the right action, approved by the right person? How do we bound, constrain, govern agentic behavior? Ultimately, the same frameworks built for human identity and access should be applied to agents.

FedRAMP 20x → continuous monitoring. Moving from point-in-time audits to real-time visibility.