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Catchpoint Blog

SRE Report: AI optimism and the economics of effort SRE Report: Why fast is what users trust The SRE Report 2026: Defensible Ns SRE Report 2026: What surprised us, what didn't, and why the gaps matter most Why Synthetic Tracing Delivers Better Data, Not Just More Data A New Chapter: LogicMonitor + Catchpoint – A Personal Note from Mehdi Mezmo + Catchpoint deliver observability SREs can rely on The four pillars holding up your digital business, and what happens when they crumble When payments pause: lessons from a global payments outage Observability 2025 Decoded: What the DZone Report Means for SLO-Driven Ops The next evolution of WebPageTest has arrived, and it’s a game-changer The Monitoring Blind Spot That Could Cost You Black Friday Powering Mexico’s Digital Future: Expanded Internet Observability with Catchpoint The Next Chapter of WebPageTest: Your New Experience Starts Soon SRE Report Retrospectives — Have AIOps Predictions Held Up? When BGP becomes UX: The inside story of a SaaS routing decision gone wrong (or right) Session Replay explained: A guide to seeing digital experience through your user’s eyes Why it’s time to move beyond APM: Monitoring from the user’s perspective When metrics mislead: Inside the 2025 Retail Web Performance Benchmark The vendor trap: why your next outage won’t be your fault—but will be your problem LLMs don’t stand still: How to monitor and trust the models powering your AI Semantic Caching: What We Measured, Why It Matters The Annual SRE Survey Is Open—We Want to Hear from You Observability isn’t about the tool. It’s about the truth Invisible dependencies, visible impact: Lessons from the Google Cloud outage Real-time detection of BGP blackholing and prefix hijacks Leading analyst firm reveals the real cost of internet disruptions The Power of Over 3000 Intelligent Observability Agents Monitoring in the Age of Complexity: 5 Assumptions CIOs Need to Rethink Why Intelligent Traffic Steering is Critical for Performance and Cost Optimization Retail digital performance event recap: Key insights from IBM & Catchpoint Zendesk outage: A case for proactive monitoring and faster incident response Silence during chaos: Why the X outage is a call to arms for proactive monitoring The $1 Million Lesson: Building a Culture of Quality Through SLAs When AI tools fail: How to map your AI dependencies for proactive visibility Why Super Bowl 2025 was a triumph for Internet Resilience Why Internet Performance Monitoring is the new health check for IT organizations Why use Playwright in Catchpoint for synthetic monitoring Introducing WebPageTest Expert Plan: Real-Time Insights, Synthetic + RUM together in One Platform The shift to digital: How businesses are reshaping their priorities for 2025 The SRE Report 2025's Call to Action Monitoring in the Age of the Internet: DEM, IPM, and APM—What You Need to Know SSL Monitoring, Trust, and McLOVIN Performing for the holidays: Look beyond uptime for season sales success Lessons from Microsoft’s office 365 Outage: The Importance of third-party monitoring Web Performance Experts Look into the Future of Web Performance The hidden challenges of Internet Resilience: Key insights from 2024 report When SSL Issues aren’t just about SSL: A deep dive into the TIBCO Mashery outage The curious case of Marriott and the untold impact of web performance on revenue Preparing for the unexpected: Lessons from the AJIO and Jio Outage It’s time to stop neglecting the elephant in the room: Performance Matters! The Need for Speed: Highlights from IBM and Catchpoint’s Global DNS Performance Study Learnings from ServiceNow’s Proactive Response to a Network Breakdown Webinar Recap: Taking Web Performance to the Next Level Use the Catchpoint Terraform Provider in your CI/CD workflows Is the Internet ready for L4S? Takeaways from the CrowdStrike outage: third-parties can pose risk July 19th global IT outage reminds us of digital complexity Agentic AI: Powerful But Fragile—What You Need to Know Demystifying API Monitoring and Testing with IPM Cloudflare outage: another wake-up call for resilience planning Cloudflare’s Resolver Outage: More Than Just DNS Cloud Monitoring's Blind Spot: The User Perspective Connected Devices: Unlocking the next frontier of Internet Performance Monitoring Consolidation and Modernization in Enterprise Observability Catchpoint named a leader in the 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring Catchpoint Peak Performance Summit 2025: Redefining Observability for the Outcome Economy Catchpoint Expands Observability Network to Barcelona: A Growing Internet Hub Catch frustration before it costs you: New tools for a better user experience Creating the IPM Category: Catchpoint’s Journey to Leadership and the LogicMonitor Era AWS Outage: How do you prepare for the failure of your own safety net? Achieving stability with agility in your CI/CD pipeline APM vs Observability: Observing beyond APM APM vs Observability: What comes next? APM vs observability: why your definitions are broken AppAssure: Ensuring the resilience of your Tier-1 applications just became easier APM vs Observability: Both-and, not either-or 2024: A banner year for Internet Resilience 5 Actions you can take to improve digital performance Fast and furious: The importance of performance in the digital age How SAP achieved world-class uptime through modern observability How AI Turns Monitoring From “What Now?” Into “What’s Next?” How IPM helped a top tech brand catch an OpenAI outage before it became a crisis Google’s Agent-to-Agent (A2A) Protocol is here—Now Let’s Make it Observable Here’s the proof: What the fastest sites on the web have in common Going for gold: Testing the resilience of Olympic websites From SEO to AEO: Why Web Performance Is the Key to AI Search Success From the source to the edge: the six agent types you can’t ignore Getting Started with Traceroute How to Monitor AI Agents in Commerce Systems From refresh to results: the metrics that shaped Election Day 2024 coverage Escalating risk, shrinking margins: The 2025 Internet Resilience Report Don’t get caught in the dark: Lessons from a Lumen & AWS micro-outage ECN explained: Navigate congestion for faster, smoother data delivery DNS misconfiguration can happen to anyone - the question is how fast can you detect it? 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Making the invisible visible: Are your cloud firewalls and DDoS protection really working?
2025-09-16 · via Catchpoint Blog

Every business builds strong defences to keep attackers out. Firewalls and DDoS protection serve that purpose, standing guard over company apps and websites, like knights at the castle gate keeping out trolls (not just the ones on X).  

But here’s the problem: those defences only work if users actually walk through the front gate. Sometimes, people find hidden paths or side doors around your walls, so the guards never see them enter. If you don’t watch the roads and know which way users came in, your castle isn’t truly protected.  

It’s exactly the same thing with the Internet. Firewalls and DDoS protections only work if real user traffic flows through them, especially traffic from last-mile ISPs, broadband providers, and mobile networks.

Most enterprises can’t answer the critical question: “Are real user queries actually flowing through the cloud firewall, and how does protection impact performance across the global internet?”

That’s the visibility gap. It’s the blind spot at the heart of digital defense, whether for legacy apps, SaaS platforms, or today’s AI/LLM-driven services. And until you close it, you’re never fully certain that your security posture matches the real user experience.

Image download failed.

Internet Stack Map showing firewall positional context and modern threat layer

The real-world visibility gap

End users never access platforms from inside cloud regions. They connect via their local ISPs, broadband providers, and mobile networks.  

That creates big blind spots:

  • You might think DDoS mitigation kicked in when, in fact, it didn’t.
  • Traffic could silently drift, bypassing your cloud firewall altogether.
  • Activating scrubbing centers could introduce unexpected latency that goes unnoticed until customers start complaining.

Cloud-based monitoring alone can’t spot these shifts. It only shows what’s happening inside cloud data centers, not the messy open roads where your users really travel.

A screenshot of a phoneAI-generated content may be incorrect.

Internet layers and last mile position-showing where user traffic originates outside the cloud.

Why the right monitoring matters

It’s not enough to ask, “Did I configure the firewall?” The real question is, “Can I prove that my users’ traffic is actively protected, no matter where it originates?”

Observing traffic at the Internet’s edge, from local ISPs to backbone transit, enables teams to detect critical security events as they occur:

  • When a DDoS mitigation ASN appears or disappears along the network path.
  • When traffic is rerouted away from security controls because of BGP or DNS drift.
  • When performance shifts dramatically following the activation of scrubbing centers.

This edge visibility is what turns assumptions into facts.

How do you monitor firewall and DDoS flows?

Organizations that take resilience seriously don’t stop at cloud-region monitoring. They combine cloud and data center controls with edge and path-level visibility that makes the invisible visible.  

The most valuable strategies include:

  • Hop-by-hop path analysis: Track IP addresses, ASNs, latency, and packet loss to pinpoint precise route divergences-not just at the origin but as traffic transits the wild edge of the internet.

A diagram of a cloudAI-generated content may be incorrect.

Multi-path network flow showing real-world firewall engagement and bypass
  • BGP route monitoring: Detect if and when your network prefixes are advertised by mitigation partners or taken over by unexpected routes.
  • Synthetic testing from last-mile ISPs: Measure availability, latency, and overall user experience both in protected and unprotected scenarios, ensuring global coverage-not just cloud-region monitoring.
  • ASN-driven alerting: Get notified instantly if security checkpoints vanish from the path or if new, unexpected networks show up.

A screenshot of a computer screenAI-generated content may be incorrect.

ASN/dashboard alerting

What about different mitigation models?

Visibility is essential no matter how your defences are designed:

  • Always-On models maintain continuous routing of all traffic through scrubbing centers for zero-second failover and stringent SLAs but can add constant inspection overhead.
  • On-Demand models only engage mitigation on attack triggers, reducing normal latency but risking brief outages due to failover timing.
  • Hybrid models strike a balance-critical apps/resources remain protected at all times while others shift to protection as needed.

If you’re not monitoring flows themselves, you can’t know whether these models perform as promised, or whether hidden gaps are quietly undermining your security posture.

Why does this matter now?

The risks are high in every sector:

  • In e-commerce, if your online store lags during a sale, you lose customers.
  • In finance, a simple policy change can reroute traffic around firewalls-leaving essential filters bypassed.

This network trace from a carrier/provider reveals how the route can bypass the cloud firewall, allowing traffic to reach the customer origin network directly, highlighting the critical need for last-mile and path monitoring.
  • If a SaaS tool drops connections in Asia or anywhere else, the problem may go unnoticed for hours without last-mile monitoring.

Simply deploying security controls is no longer enough. The only way to ensure resilience, accountability, and true protection is by making Internet “blind spots” visible, tracking flows end-to-end from the edge to the cloud, across every ISP and every path.

How does Catchpoint close the gap?

Catchpoint’s Internet Performance Monitoring (IPM) platform enables you to see the full journey step by step, from the edge of the Internet through every security checkpoint. It works for all digital services, including websites, apps, and AI chatbots powered by large language models (LLMs).  

This monitoring approach enables organizations to address use cases such as:  

  • Validating global service availability
  • Measuring performance impact with and without cloud firewalls
  • Providing independent confirmation for auditors
  • Detecting outages and latency changes in real time
  • Correlating user experience with network security events
  • Monitoring end-to-end dependencies (including CDN, DNS, API, Cloud, and AI/LLM services)
  • Conducting post-attack forensics and ensuring SLA compliance
  • Confirming mitigation effectiveness and successful recovery
  • Integrating with DDoS playbooks and automated alerting systems

Wrapping it up

To keep your business truly safe, don’t just build strong walls. Make sure you know which path everyone takes to your front door. The only way to really secure your castle is by watching the roads, validating the journey, and responding fast when anything goes wrong. Visibility is what turns security from hope to certainty.  

Next steps

  • Want to see how this works in practice? Start a 14-day free trial and monitor your own firewall and DDoS flows from the edge of the Internet.

Summary

Every business builds strong defences to keep attackers out. Firewalls and DDoS protection serve that purpose, standing guard over company apps and websites, like knights at the castle gate keeping out trolls (not just the ones on X).  

But here’s the problem: those defences only work if users actually walk through the front gate. Sometimes, people find hidden paths or side doors around your walls, so the guards never see them enter. If you don’t watch the roads and know which way users came in, your castle isn’t truly protected.  

It’s exactly the same thing with the Internet. Firewalls and DDoS protections only work if real user traffic flows through them, especially traffic from last-mile ISPs, broadband providers, and mobile networks.

Most enterprises can’t answer the critical question: “Are real user queries actually flowing through the cloud firewall, and how does protection impact performance across the global internet?”

That’s the visibility gap. It’s the blind spot at the heart of digital defense, whether for legacy apps, SaaS platforms, or today’s AI/LLM-driven services. And until you close it, you’re never fully certain that your security posture matches the real user experience.

Image download failed.

Internet Stack Map showing firewall positional context and modern threat layer

The real-world visibility gap

End users never access platforms from inside cloud regions. They connect via their local ISPs, broadband providers, and mobile networks.  

That creates big blind spots:

  • You might think DDoS mitigation kicked in when, in fact, it didn’t.
  • Traffic could silently drift, bypassing your cloud firewall altogether.
  • Activating scrubbing centers could introduce unexpected latency that goes unnoticed until customers start complaining.

Cloud-based monitoring alone can’t spot these shifts. It only shows what’s happening inside cloud data centers, not the messy open roads where your users really travel.

A screenshot of a phoneAI-generated content may be incorrect.

Internet layers and last mile position-showing where user traffic originates outside the cloud.

Why the right monitoring matters

It’s not enough to ask, “Did I configure the firewall?” The real question is, “Can I prove that my users’ traffic is actively protected, no matter where it originates?”

Observing traffic at the Internet’s edge, from local ISPs to backbone transit, enables teams to detect critical security events as they occur:

  • When a DDoS mitigation ASN appears or disappears along the network path.
  • When traffic is rerouted away from security controls because of BGP or DNS drift.
  • When performance shifts dramatically following the activation of scrubbing centers.

This edge visibility is what turns assumptions into facts.

How do you monitor firewall and DDoS flows?

Organizations that take resilience seriously don’t stop at cloud-region monitoring. They combine cloud and data center controls with edge and path-level visibility that makes the invisible visible.  

The most valuable strategies include:

  • Hop-by-hop path analysis: Track IP addresses, ASNs, latency, and packet loss to pinpoint precise route divergences-not just at the origin but as traffic transits the wild edge of the internet.

A diagram of a cloudAI-generated content may be incorrect.

Multi-path network flow showing real-world firewall engagement and bypass
  • BGP route monitoring: Detect if and when your network prefixes are advertised by mitigation partners or taken over by unexpected routes.
  • Synthetic testing from last-mile ISPs: Measure availability, latency, and overall user experience both in protected and unprotected scenarios, ensuring global coverage-not just cloud-region monitoring.
  • ASN-driven alerting: Get notified instantly if security checkpoints vanish from the path or if new, unexpected networks show up.

A screenshot of a computer screenAI-generated content may be incorrect.

ASN/dashboard alerting

What about different mitigation models?

Visibility is essential no matter how your defences are designed:

  • Always-On models maintain continuous routing of all traffic through scrubbing centers for zero-second failover and stringent SLAs but can add constant inspection overhead.
  • On-Demand models only engage mitigation on attack triggers, reducing normal latency but risking brief outages due to failover timing.
  • Hybrid models strike a balance-critical apps/resources remain protected at all times while others shift to protection as needed.

If you’re not monitoring flows themselves, you can’t know whether these models perform as promised, or whether hidden gaps are quietly undermining your security posture.

Why does this matter now?

The risks are high in every sector:

  • In e-commerce, if your online store lags during a sale, you lose customers.
  • In finance, a simple policy change can reroute traffic around firewalls-leaving essential filters bypassed.

This network trace from a carrier/provider reveals how the route can bypass the cloud firewall, allowing traffic to reach the customer origin network directly, highlighting the critical need for last-mile and path monitoring.
  • If a SaaS tool drops connections in Asia or anywhere else, the problem may go unnoticed for hours without last-mile monitoring.

Simply deploying security controls is no longer enough. The only way to ensure resilience, accountability, and true protection is by making Internet “blind spots” visible, tracking flows end-to-end from the edge to the cloud, across every ISP and every path.

How does Catchpoint close the gap?

Catchpoint’s Internet Performance Monitoring (IPM) platform enables you to see the full journey step by step, from the edge of the Internet through every security checkpoint. It works for all digital services, including websites, apps, and AI chatbots powered by large language models (LLMs).  

This monitoring approach enables organizations to address use cases such as:  

  • Validating global service availability
  • Measuring performance impact with and without cloud firewalls
  • Providing independent confirmation for auditors
  • Detecting outages and latency changes in real time
  • Correlating user experience with network security events
  • Monitoring end-to-end dependencies (including CDN, DNS, API, Cloud, and AI/LLM services)
  • Conducting post-attack forensics and ensuring SLA compliance
  • Confirming mitigation effectiveness and successful recovery
  • Integrating with DDoS playbooks and automated alerting systems

Wrapping it up

To keep your business truly safe, don’t just build strong walls. Make sure you know which path everyone takes to your front door. The only way to really secure your castle is by watching the roads, validating the journey, and responding fast when anything goes wrong. Visibility is what turns security from hope to certainty.  

Next steps

  • Want to see how this works in practice? Start a 14-day free trial and monitor your own firewall and DDoS flows from the edge of the Internet.

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