Cloudflare’s State of Application Security 2024 Report argued that many organizations are defending modern applications with controls designed for an older web. Its warning is mainly about APIs, cloud and SaaS services, automated traffic, and third-party code—not that every firewall, VPN, or WAF is obsolete.
The report, published June 25, 2024, analyzed Cloudflare-observed traffic from April 1, 2023, through March 31, 2024. It found major visibility gaps, very rapid exploitation, and heavy bot and DDoS activity. The practical lesson is to combine continuous asset discovery, identity-aware API controls, rapid vulnerability response, and layered edge protection.
What Cloudflare actually measured
Cloudflare says it mitigated 6.8% of all web-application and API traffic seen during the observation period. Those figures come from aggregated patterns on Cloudflare’s global network, supplemented by cited third-party information. They describe Cloudflare’s customers and traffic—not a statistically representative sample of every organization or every internet request.
| Finding | Qualification |
|---|---|
| 6.8% of web-application and API traffic mitigated | Cloudflare-observed traffic, April 2023–March 2024 |
| 37.1% of application traffic mitigated was DDoS traffic | Share of traffic Cloudflare mitigated |
| 31.2% of traffic came from bots | Cloudflare-observed traffic, not all internet traffic |
| 93% of bot traffic was unverified | “Unverified” is not synonymous with definitively malicious |
| 33% more public API endpoints discovered | Machine-learning discovery compared with customer-provided session identifiers |
| 66.6% of protected API traffic used traditional negative WAF rules | Cloudflare’s classification of traffic receiving Layer 7 security |
| 22 minutes to exploitation | One zero-day was exploited 22 minutes after proof-of-concept publication |
Cloudflare’s commercial position matters when interpreting the findings: its network and customer mix shape the data, and its recommended remedies often correspond to Cloudflare products. The statistics are useful signals, not universal measurements or proof that a particular customer was compromised.
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For later context, Cloudflare reported 47.1 million DDoS attacks in 2025 and a 31.4 Tbps record attack in its 2025 Q4 report. Those are separate, later observations and do not change the 2024 report’s dates or method.
Cloudflare’s June 25, 2024 announcement and its State of application security explainer provide the underlying figures.
What “outdated security approach” means
“Outdated” describes a mismatch between a control and the system it is supposed to protect. A conventional WAF rule, VPN, IP allowlist, or on-premises DDoS appliance can remain valuable as one layer. The problem is relying on such a control as the primary answer for fast-changing APIs, distributed applications, cloud services, and automated abuse.
- Generic WAF signatures block known payloads but may miss valid-looking requests that abuse a workflow or authorization flaw.
- Manual API inventories become stale as mobile clients, partners, internal services, and AI-enabled applications add endpoints.
- Authenticated users, approved IP addresses, and VPN-connected devices are often treated as trustworthy without evaluating the specific identity, token, device, operation, or risk.
- Perimeter-centric “castle-and-moat” routing can backhaul SaaS traffic, add latency, and concentrate failure points.
- On-demand scrubbing and manually activated controls may be too slow for attacks that start and scale automatically.
- Third-party browser code is frequently managed as a performance concern rather than as a supply-chain and data-access risk.
Cloudflare describes the castle-and-moat limitation in its zero-trust reference architecture. The right question is not whether a tool is old, but whether it supplies current visibility, context, scale, and response speed.
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Why APIs are the center of the problem
APIs expose business functions and data directly. Mobile apps, partner integrations, browsers, internal services, and newer AI applications all depend on them. They change rapidly and often accept structured, authenticated requests, so a malicious request can look normal to a signature-based filter.
Discovery comes before protection
Cloudflare says machine-learning discovery found 33% more public-facing API endpoints than customers knew about. An unknown endpoint has no confirmed owner, lifecycle status, authentication requirement, data classification, or retirement plan. Discovery is therefore a control only when it leads to ownership, policy, monitoring, and remediation.
Negative and positive security models
A negative model permits traffic unless it matches a known bad signature. It is effective for familiar attack patterns and broad web protection, but weaker against novel abuse and business-logic attacks.
A positive model defines the valid contract: methods, paths, fields, data types, authentication context, and sometimes permitted sequences. Requests outside that contract can be rejected before reaching the application. Cloudflare reported that 66.6% of API traffic receiving Layer 7 security was primarily protected by traditional negative WAF rules rather than specialized positive API rules.
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Positive validation requires accurate, maintained schemas and careful rollout; it can break undocumented but legitimate clients. It also cannot decide whether an authorized user is scraping records, abusing a refund flow, or using excessive permissions. Authorization, business-logic testing, and behavioral monitoring remain necessary.
Controls an API program needs
- Continuous discovery and an authoritative endpoint inventory.
- Authentication and authorization matched to the data and operation.
- Schema and input validation, with separate treatment for administrative and privileged methods.
- Rate limits based on identity, endpoint, token, risk, and business context—not only source IP.
- Detection of enumeration, scraping, token misuse, unusual geography, and abnormal response sizes.
- Version lifecycle controls that retire undocumented and deprecated endpoints.
Why speed-to-exploit changes the response model
Cloudflare reported that one newly disclosed zero-day was exploited 22 minutes after its proof of concept was published. That example does not mean every vulnerability is exploited that quickly, but it demonstrates why a weeks-long process for internet-facing systems can be unsafe.
Organizations need an asset inventory and emergency playbook before a disclosure arrives. Temporary controls—virtual patching, managed rules, access restriction, endpoint isolation, or disabling a feature—can reduce exposure while a permanent fix is prepared. Teams should preserve logs and investigate indicators: exposure is not proof of compromise, and an absence of an alert is not proof of safety.
DDoS and automated traffic require nuance
Cloudflare said DDoS attacks represented 37.1% of application traffic it mitigated during the observation period. It also said bots generated 31.2% of all observed traffic and that 93% of bot traffic was unverified. “Unverified” can include benign or beneficial automation; it is not a synonym for malicious.
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Volumetric attacks test bandwidth and capacity, while application-layer attacks can be low-volume but exhaust a database, search function, login service, or expensive transaction. A resilient design combines network and application-layer protection, origin shielding, caching where appropriate, identity-aware rate limits, and a definition of legitimate automation. Blocking every bot can damage search visibility, accessibility tools, monitoring, and business integrations.
Cloudflare’s 2025 Q3 report advises organizations using on-premises appliances or on-demand scrubbing to reassess whether those arrangements provide sufficient scale and speed. That is a planning consideration, not a requirement to discard every appliance.
Third-party code expands the attack surface
Cloudflare reported averages of 47.1 third-party code components and 49.6 outbound connections to third-party resources per organization. Analytics, advertising, payment widgets, chat tools, and other browser-loaded services can create simultaneous security, privacy, availability, and data-transfer dependencies.
- Maintain an inventory of every external script, domain, owner, purpose, and data access.
- Remove unused dependencies and minimize privileges for those that remain.
- Use integrity checks, content-security policies, and browser permission controls where compatible.
- Review vendor security practices, change notifications, breach obligations, and subcontractors.
- Monitor behavioral changes rather than assuming a previously approved script remains unchanged.
A practical modernization sequence
- Map the public attack surface. Inventory domains, applications, APIs, cloud accounts, exposed services, origins, and third-party scripts; assign an owner to every item.
- Close immediate visibility gaps. Find undocumented endpoints, direct-to-origin paths, expired API versions, and internet-facing systems without centralized logs.
- Match API controls to risk. Enforce authentication, authorization, schemas, rate limits, and monitoring by operation and identity.
- Set emergency vulnerability deadlines. Tier internet-facing assets, subscribe to vendor advisories and exploit intelligence, and rehearse virtual-patching or temporary-blocking procedures.
- Make DDoS and bot protection continuous. Cover network and application layers, test failover and origin protection, and document legitimate automation.
- Govern dependencies. Reduce third-party code, constrain what it can access, and review behavior and vendor commitments.
- Test recovery. Retain enough telemetry for forensics, exercise incident-response plans, and verify that critical services can be restored.
Choosing an architecture or provider
Cloudflare is one possible edge-centered architecture, not a universal winner. Buyers should evaluate the capability and operating model rather than a product label.
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| Approach | Potential strengths | Important limits |
|---|---|---|
| Managed edge platform | Always-on DDoS scale, centralized WAF, bot, API, and zero-trust telemetry | Vendor dependency; careful DNS, certificate, routing, and origin configuration required |
| Cloud-provider-native controls | Natural integration with an existing AWS, Azure, or Google Cloud estate | May require more service integration and operational ownership; portability can be limited |
| Dedicated API gateway or API-security platform | Strong contract enforcement, discovery, posture, and runtime API controls | Usually needs separate DDoS, bot, edge, logging, and incident-response capabilities |
| Self-managed gateway and WAF | Deployment control and customization | Scaling, rule maintenance, discovery, observability, and response remain the team’s responsibility |
| Zero-trust access service | Identity-based access to private applications and SaaS without broad network trust | Not a replacement for public API security, WAF, or DDoS protection |
Cloudflare’s relevant offerings include WAF, API Security, Bot Management, DDoS Protection, Access, Magic Transit, and Cloudforce One. Some tiers are free or self-service, while enterprise API, network, bot, and support features can be sales-led; confirm current terms on Cloudflare’s plans page.
Alternatives include Akamai’s App & API Protector and Prolexic; Fastly Next-Gen WAF; AWS WAF, Shield, and API Gateway; Azure Web Application Firewall and Azure DDoS Protection; Google Cloud Armor; and specialized or self-managed gateways such as Kong, NGINX App Protect, and Tyk.
Questions security leaders should ask
- Can the program discover unknown APIs, hosts, services, origins, and third-party dependencies continuously?
- Can policies use identity, device, token, endpoint, and behavioral context?
- Can the team deploy a compensating control within minutes during active exploitation?
- Are DDoS controls always on, and do they cover both network and application layers?
- Can logs support detection, compliance, and forensic investigation with defined retention?
- What happens when an API schema changes or a legitimate client is undocumented?
- How are business-logic abuse and excessive permissions tested?
- What are the portability, egress, request, bandwidth, protected-asset, and support costs?
- Which controls protect the origin, private applications, backups, endpoints, and recovery process outside the edge?
The central buying warning is simple: an edge platform can reduce exposure to hostile internet traffic, but it cannot repair insecure code, excessive permissions, vulnerable dependencies, weak identity controls, missing backups, or an unprepared incident-response team.
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