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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
Monitor Akamai Zero Trust and Application Security with Datadog Cloud SIEM
Vera Chan, Jason Hunsberger, David Pointeau, Zach Anderson · 2024-08-06 · via Datadog | The Monitor blog

Akamai is a cloud content delivery and security platform that helps organizations secure their applications, APIs, network access, and credentials that workforces and customers use every day. Akamai Zero Trust provides enhanced security for users, devices, and data across an organization by securing access to the corporate network, SaaS applications, email, and other resources. Akamai Application Security is a suite of security solutions designed to protect web applications from a wide range of threats, including DDoS attacks, bot traffic, and vulnerabilities in application code.

As a part of our continued partnership with Akamai, we’re excited to announce new integrations with Akamai Zero Trust and Akamai Application Security. Integrating Datadog Cloud SIEM with Akamai’s Zero Trust and Application Security solutions helps increase overall security posture, reduce risk, and increase the operational efficiency and effectiveness of security operations teams.

Akamai Security and Datadog diagram.

With Datadog Cloud SIEM’s intuitive query language and customizable threat detection rules, security teams can identify suspicious activity in Akamai Application Security and Zero Trust logs and correlate that activity with other observability context. In addition, out-of-the-box and custom dashboards can help assist with security monitoring, triage, and remediation. These integrations give security teams access to a unified solution that aligns network and security intelligence, enabling the effective mitigation of intricate risks associated with modern apps and cloud computing.

In this post, we’ll discuss how the Akamai Zero Trust and Application Security integrations enable you to:

  • Control and protect your Akamai Security logs

  • Build custom detection rules for log analysis and correlation

  • Create dashboards for a shared view into your security posture and signal trends

  • Customize your response workflows with Datadog Workflow Automation and Datadog Case Management

Control and protect your Akamai Security logs

To take advantage of this deepened integration, simply locate, install, and enable the Akamai Zero Trust integration or Akamai Application Security integration.

Datadog’s out-of-the-box log processing pipeline will automatically parse and normalize your Akamai Zero Trust logs. Standardizing the format of these logs helps structure them for easier analysis and correlation with your logs from other sources, so that Cloud SIEM can surface signs of related suspicious activity across all of your logs.

Datadog’s Akamai Zero Trust and Application Security integrations allow you to capture, retain, and deliver logs containing security information and events from Akamai to Datadog Cloud SIEM in near real time. If you use Akamai Zero Trust EAA (Enterprise Application Access) or Akamai App & API Protector, Kona Site Defender, Client Reputation, Web Application Protector, Bot Manager, or Account Protector, you can analyze security events generated on the Akamai platform alongside security events from other sources within Datadog. This centralizes your security signals across Akamai and from any of our 1,000+ integrations.

You can control and protect the data feed with event filtering, which lets you filter the security events you collect in Datadog Cloud SIEM by security configuration and security policy. Cloud SIEM also supports data retention, storing security event data for 12 hours so you can go back and capture missed events.

Akamai Application Security log pipelines in Datadog.

Build custom detection rules for log analysis and correlation

Datadog Cloud SIEM provides several capabilities that help you analyze your Akamai logs and correlate them with detection rules, so you can understand what’s happening in your environment and catch attacker behavior more quickly. Custom rules can also be easily created by copying and editing existing rules.

With Cloud SIEM, you can bring in your third-party alerts along with alerts generated by Akamai. For instance, if you have a bot protection alert in Akamai, the out-of-the-box Cloud SIEM detection rule shown below will generate a signal that will alert you to respond. Third-party alerts can be displayed within Cloud SIEM and combined with your Akamai alerts.

Configuration settings for Akamai Application Security detection rules.

The Akamai Application Security out-of-the-box dashboard provides comprehensive insights into attack data, security events, and threat intelligence, enabling teams to monitor and respond to threats effectively. Use this dashboard to monitor your Akamai security events from Kona Site Defender and Bot Manager, tracking IP log activity and rare IP occurrences for enhanced visibility and proactive defense against potential security breaches.

You can easily build and customize your own dashboard for Akamai Zero Trust with Cloud SIEM. Custom dashboards provide security teams with an at-a-glance, real-time view of Akamai-related security signals that may indicate threats targeting specific parts of your environment.

Akamai Zero Trust dashboard showing secure internet access data.

This customization allows teams to focus on the most relevant data, ensuring efficient monitoring and rapid response to threats. These dashboards integrate seamlessly with existing workflows, providing contextual insights that enhance decision-making and collaboration across teams.

Akamai Zero Trust dashboard showing enterprise application access data.

Customize your response workflows with Workflow Automation and Case Management

You can also use Datadog Workflow Automation to orchestrate common response actions and automate processes on demand or in response to monitors or security signals. Customize your own workflows with a visual workflow builder and send chat messages and sync updates to tools such as Slack and Microsoft Teams. For instance, you can use a Slack approval workflow to triage signals from Akamai more efficiently.

Additionally, workflows integrate with Datadog Case Management, which brings security and DevOps teams together to rapidly investigate application issues using the same platform and the same data for complete visibility. Cross-functional teams can collaborate more effectively on security signals and threat investigations in workspaces to investigate and resolve issues quickly on Datadog’s unified platform for observability and security. You can use this feature to add a step to your workflow that creates a case in Datadog, so that while you’re taking steps to remediate the issue, you can triage and troubleshoot further.

Deeper insights into your Akamai Zero Trust and Application Security logs

Datadog’s Akamai Application Security and Akamai Zero Trust integrations provide you with more visibility to detect and secure your environment against threats. If you’re already a Datadog customer, you can learn more about our Akamai Zero Trust and Akamai Application Security integrations now in our documentation library. Or, you can get started today with a 14-day free trial.