Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Automate Security Response with Datadog Workflow Automation

Responding to threats often requires time-consuming, multi-step actions across multiple tools, slowing down investigations and increasing risk. Learn how security teams can automate a wide range of workflows, from everyday tasks to complex, multi-step investigations, so they can streamline response and reduce manual effort across tools and environments. In this demo, see how Datadog’s integrated SOAR, powered by Workflow Automation, helps you build, test, and manage automated security playbooks with confidence.

Monitor OCI Audit Logs with Datadog Cloud SIEM

Oracle Cloud Infrastructure (OCI) provides compute, storage, networking, and database services for running enterprise applications and workloads in Oracle. OCI supports both traditional and cloud-native applications, offering scalable, secure, and high-performance infrastructure for hybrid and multi-cloud environments. Securing workloads in OCI can be complex for organizations managing a mix of on-prem, hybrid, and cloud environments.

Datadog achieves IRAP's PROTECTED status in Australia

As Australian government agencies and regulated industries move sensitive workloads to the cloud, they need observability solutions that meet highly stringent data protection standards. To address this need, Datadog has pursued and received an Infosec Registered Assessors Program (IRAP) assessment at the PROTECTED level. This is an advanced classification under the Australian Cyber Security Centre (ACSC) framework for cloud and SaaS security.

Enrich, Parse, and Control Logs with Observability Pipelines for Datadog Cloud SIEM

See how Datadog Observability Pipelines helps security and operations teams take control of their log data. In this demo, we’ll walk through: With Datadog, you can normalize, enrich, and prepare high-quality log data for Cloud SIEM, supporting faster investigations, more accurate detections, and reduced operational overhead—all without third-party software.

Aligning SRE and security for better incident response

In this series, we looked at why we combined our SRE and security teams into one cohesive group, and how we made that happen. With this combined approach, we set out to build our internal platform and customer-facing products with a security-first mindset, while still drawing upon the deep expertise of our existing SRE practices. Combining the teams improved the way we build tools for both our engineers and customers and strengthened our ability to mitigate risks.

Real-Time & Historical Threat Detection with Datadog Cloud SIEM

See how Datadog’s Cloud SIEM empowers security teams with powerful, real-time and retrospective detection capabilities. In this demo, we walk through: Datadog Cloud SIEM gives your SOC high-context, actionable security signals—out of the box and fully customizable—helping you detect, investigate, and respond to threats faster.

Abusing supply chains: How poisoned models, data, and third-party libraries compromise AI systems

The AI ecosystem is rapidly changing, and with this growth comes unique challenges in securing the infrastructure and services that support it. In Part 1 of this series, we explored how attackers target the underlying resources that host and run AI applications, such as cloud infrastructure and storage. In this post, we'll look at threats that affect AI-specific resources in supply chains, which are the software and data artifacts that determine how an AI service operates.

Abusing AI interfaces: How prompt-level attacks exploit LLM applications

In Parts 1 and 2 of this series, we looked at how attackers get access to and take advantage of the infrastructure and supply chains that shape generative AI applications. In this post, we'll discuss AI interfaces, which we define as the entry points and logic that determine how a user interacts with an AI application. These elements can include chat interfaces, such as AI assistants, and API endpoints for supporting services.

Abusing AI infrastructure: How mismanaged credentials and resources expose LLM applications

The swift adoption of generative AI (GenAI) by the software industry has introduced a new area of focus for security engineers: threats targeting the various components of their AI applications. Understanding how these areas are vulnerable to attacks will become increasingly significant as the space evolves. In this series, we'll look at common threats that target the following components of AI applications.

Monitor and optimize payment processing with Datadog's Adyen integration

Adyen is a global payment platform that supports transactions across web, mobile, and in-person channels. By consolidating payment flows into a single process, the platform helps merchants simplify operations and deliver consistent purchasing experiences. But payment processes are complex, often involving multiple steps that include authorization, capture, and refunds.