惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

PCI Perspectives
PCI Perspectives
Microsoft Security Blog
Microsoft Security Blog
MongoDB | Blog
MongoDB | Blog
T
The Blog of Author Tim Ferriss
罗磊的独立博客
人人都是产品经理
人人都是产品经理
The Cloudflare Blog
Engineering at Meta
Engineering at Meta
Y
Y Combinator Blog
宝玉的分享
宝玉的分享
Recorded Future
Recorded Future
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
月光博客
月光博客
Recent Announcements
Recent Announcements
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Apple Machine Learning Research
Apple Machine Learning Research
T
Threatpost
The GitHub Blog
The GitHub Blog
M
MIT News - Artificial intelligence
Scott Helme
Scott Helme
P
Palo Alto Networks Blog
T
Tenable Blog
P
Privacy International News Feed
V
Visual Studio Blog
F
Fortinet All Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
I
Intezer
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
AI
AI
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
S
Security Affairs
S
SegmentFault 最新的问题
C
Cisco Blogs
博客园 - 聂微东
MyScale Blog
MyScale Blog
V
Vulnerabilities – Threatpost
量子位
T
The Exploit Database - CXSecurity.com
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Security Latest
Security Latest
P
Proofpoint News Feed
阮一峰的网络日志
阮一峰的网络日志
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
T
Troy Hunt's Blog
T
Tailwind CSS Blog
Stack Overflow Blog
Stack Overflow Blog
云风的 BLOG
云风的 BLOG
A
About on SuperTechFans
The Last Watchdog
The Last Watchdog

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
Elevate web security and mitigate third-party risk with Reflectiz in the Datadog Marketplace
2025-07-11 · via Datadog | The Monitor blog
Candace Shamieh

Candace Shamieh

Erica Ho

Erica Ho

Alex Guo

Alex Guo

Marlisa Gashaj

Marlisa Gashaj

Modern websites have become increasingly reliant on third-party applications and open source tools to deliver functionality and enhance the user experience. However, this reliance introduces both security and privacy risks, as external code can act as a vector for sophisticated attacks, such as Magecart and web skimming. Without visibility into these apps and tools, organizations are left vulnerable to undetected threats, unauthorized data access, and regulatory violations.

To help you monitor your entire client-side stack—including third-party scripts, tags, externally loaded code, libraries, and integrations—Datadog has partnered with Reflectiz, a web exposure monitoring platform. With the Reflectiz offering in the Datadog Marketplace, you can detect, investigate, and mitigate client-side threats targeting your website and its users.

In this post, we’ll discuss how the Reflectiz integration with Datadog helps you investigate security threats in real time and assess your site’s overall web exposure risk.

Detect web skimming, script misuse, and client-side threats in real time

Once you install the integration, Reflectiz security and privacy alerts will start reporting into Datadog as logs and metrics. The alerts populate in the Web Exposure Alerts dashboard, enabling you to review their category, severity, and status. You can also detect whether the alert was triggered by misconfigurations or suspicious activity, including web skimming, script misuse, and unauthorized data collection. If you need mitigation guidance, you can pivot directly from the alert to the Reflectiz platform for clear, actionable steps to help you address the threat.

View of the out-of-the-box Web Exposure Alerts dashboard

Each alert is enriched with context and mapped to the application’s underlying host. This makes it easier to connect risk signals to the affected systems. By correlating the alert’s information with relevant infrastructure metrics in the Datadog app, you can identify whether high-risk third-party activity is impacting business-critical services and assess the severity of the impact in real time.

For example, let’s say you receive an alert reporting that an unapproved tracking pixel has been embedded on the checkout page. Navigating to the Web Exposure Alerts dashboard, you click on the alert to identify the script responsible for loading the pixel. You review the script’s metadata, including the source domain, destination domain, and the actions that triggered the alert, such as accessing form fields or initiating outbound calls.

To investigate further, you cross-reference the script’s destination domain against your organization’s allowlist. This enables you to confirm that the script is transmitting form field data to an unauthorized endpoint. Since the alert is linked to the underlying host in Datadog, you also check for any related performance degradation or broader system impact so you can escalate accordingly. You then proceed to block the script to immediately stop data exfiltration and prevent any further exposure of sensitive customer information.

Track and benchmark web exposure risk across environments

In addition to detecting threats in real time, the Reflectiz integration helps you prevent future security issues by tracking the overall risk exposure for your website, application, and domain. Through its Exposure Rating system, Reflectiz calculates your ratings based on several factors, including page type, application actions, and domains interacted with. For example, the Exposure Ratings system deems login and checkout pages as high-risk while considering standard informational pages to be safer.

By using the out-of-the-box Web Exposure Rating dashboard in Datadog, you can monitor Reflectiz exposure ratings over time, benchmark your scores against industry peers, and proactively identify areas for improvement.

View of the out-of-the-box Web Exposure Rating dashboard

This visibility helps security teams focus their efforts, compare risk posture across environments, and reduce exposure by learning from both internal data and industry trends. Because Reflectiz alerts are reported in Datadog, you can correlate exposure ratings with your telemetry data. This enables you to understand whether poor scores are associated with specific services and then prioritize improvements accordingly.

For example, let’s say a security analyst notices that the exposure score for their organization’s patient portal has dropped significantly. Using the Reflectiz Web Exposure Rating dashboard, they review the related infrastructure metrics and notice elevated error rates and increased CPU usage on the application’s host around the same time that the exposure score dropped. Following the link to the Reflectiz platform, they discover that a recently added third-party chat widget was flagged for using an outdated JavaScript library. After removing the widget, the exposure rating increases and infrastructure metrics return to expected levels, confirming that the issue is resolved.

Extend observability to the client-side stack with Reflectiz and Datadog

With Reflectiz and Datadog, you can view real-time security and privacy alerts alongside infrastructure metrics, track website exposure trends over time, and investigate threats directly in the Datadog platform. By combining Datadog’s full-stack observability with Reflectiz’s specialized web risk monitoring, you can proactively detect and respond to client-side risks before they become incidents.

You can get started with the Reflectiz integration by purchasing a license or starting a 14-day free trial in the Datadog Marketplace. If you don’t already have a Datadog account, you can sign up for a free trial today.

The ability to promote branded marketing tools like Reflectiz is available through the Datadog Partner Network. If you’re interested in developing an integration or application that you’d like to promote, you can contact us at marketplace@datadog.com.