Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In their talk, Katie Nickels (Sr. Director of Intelligence Operations) and Jesse Griggs (Sr. Threat Researcher) from Red Canary show you how to adapt an endpoint detection mindset to the cloud, specifically focusing on pre-impact TTPs and building robust cloud detections.

Datadog Detect is a virtual mini-conference dedicated to helping security teams modernize detection and response by applying engineering best practices. Hear talks from industry experts, including security researchers and engineers at Datadog, Red Canary, and Corelight to learn about building scalable, effective security operations.

In this talk, Megan Roddie-Fonseca, Sr. Security Engineer at Datadog, addresses the challenge of finding "just right" detections, leveraging data classification techniques like recall and precision to balance false positives and missed attacks. Presented on October 30, 2025 for Datadog Detect.

In this talk, David Burkett, Cloud Security Researcher at Corelight, highlights how timeless evasion tactics create critical blind spots in cloud workloads, and illustrates the role of Network Detection and Response (NDR) as a resilient countermeasure. Presented on October 30, 2025 for Datadog Detect.

Is AI making application security easier or harder? We spoke to Amit Chita, Field CTO at Mend.io, the rise of AI agents in the Software Development Lifecycle (SDLC) presents a unique opportunity for security teams to be stricter than ever before. As developers increasingly use AI agents and integrate LLMs into applications, the attack surface is evolving in ways traditional security can't handle. The only way forward is a Zero Trust approach to your own AI models. Join Ashish Rajan and Amit Chita as they discuss the new threats introduced by AI and how to build a resilient security program for this new era.

What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape. What is an AIBOM and why it matters The stages of AI adoption.