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RASP vs WAF vs ADR: Which Runtime Security Tool Do You Actually Need?

By 
Roi Abitboul

The application security market has never had more tools. It has also never had more confusion about what those tools actually do - and which gaps they leave open.

Three categories dominate the conversation around runtime application protection: Web Application Firewalls (WAF), Runtime Application Self-Protection (RASP), and Application Detection and Response (ADR). All three claim to protect applications. All three work at fundamentally different layers. And the differences between them matter enormously when you are deciding how to build a modern application security program.

This blog cuts through the marketing and maps each category to what it actually does, what it cannot do, and when it is the right fit for your environment.

What Is a WAF?

WAF (Web Application Firewall): A security control that inspects HTTP/HTTPS traffic at the application perimeter, matching request payloads against known attack signatures to block malicious traffic before it reaches the application. WAFs operate outside the application process and have no visibility into what happens inside the application after accepting a request.

A Web Application Firewall sits between the internet and your application, inspecting incoming requests for patterns associated with known attacks - SQL injection strings, XSS payloads, known exploit signatures.

Modern WAFs have evolved significantly. Elastic or cloud-native WAF deployments can now run as pods within Kubernetes clusters, sitting closer to the application without being inside it. They offer CDN-agnostic deployment, centralized management, and lower latency than traditional perimeter-based WAFs.

What has not changed is the fundamental limitation: a WAF sees traffic. It does not see execution. Once a request is accepted - whether it appears legitimate or not - the WAF's job is done. What happens inside the application after that point is invisible to it.

This matters because many modern attacks are designed to look like legitimate application behavior. A prototype pollution exploit delivered as a syntactically valid JSON payload may pass perimeter inspection cleanly. An attack operating through a compromised dependency or trusted library can execute entirely inside the application process without generating a meaningful HTTP-layer signal for the WAF to detect.

A WAF sees traffic. It does not see execution. Once a request is accepted, what happens inside the application is invisible to it.

What Is RASP?

RASP (Runtime Application Self-Protection): A security technology that instruments the application runtime by injecting code or agents inside the application process to detect and block attacks in real time. RASP provides deeper visibility than WAFs but introduces performance overhead, compatibility risk, and app-by-app deployment complexity.

Runtime Application Self-Protection was designed to address exactly the gap that WAFs cannot close: what happens inside the application. By injecting instrumentation code directly into the application runtime - as a plugin, agent, or module - RASP can observe application behavior from within and intercept malicious execution.

RASP addressed an important visibility gap, but traditional implementations introduced operational tradeoffs that became harder to manage in cloud-native environments.

Because RASP works by injecting code into the application runtime, every language upgrade, framework change, container base image update, or major code change can become a compatibility and regression-testing event. The security code is physically inside the application process. If it misbehaves, the protected application can be directly impacted. The deeper the instrumentation depth, the more visibility you get - and the more performance and compatibility risk you accept.

In practice, this means RASP deployments require app-by-app maintenance, ongoing tuning, and significant engineering involvement to keep functioning correctly. Traditional agent-based RASP deployments can introduce noticeable runtime and memory overhead depending on workload, instrumentation depth, and application architecture.

If your organization is running a RASP solution, it is worth checking whether its vendor has announced an end-of-support timeline. Some legacy RASP products are being phased out with final support dates in the next one to two years. If that applies to your environment, now is the right time to evaluate modern alternatives - specifically whether Application Detection and Response is the right replacement path.

RASP also struggles with modern architectures, where applications span many services, languages, frameworks, APIs, and managed components. Because coverage depends on supported agents and runtimes, third-party or unsupported services can remain outside its protection model.

What Is ADR?

ADR (Application Detection and Response): A security category that provides behavioral detection and response capabilities inside the application runtime, observing library-level execution behavior to detect exploitation activity without requiring code injection into the application process and without introducing performance overhead.

ADR (Application Detection and Response) is a security category that provides behavioral detection and response capabilities inside the application runtime. ADR observes library-level execution behavior to identify exploitation activity as it occurs, without requiring code injection into the application process.

Application Detection and Response emerged because one critical layer of the modern software stack remained largely invisible to security teams: the application execution layer itself. Most security technologies monitor network traffic, infrastructure, operating systems, containers, or logs. Few can directly observe how a running application behaves at the library and function level.

This visibility gap becomes increasingly important as modern applications grow more complex. Applications are assembled from thousands of open source components, frameworks, and third-party libraries. When suspicious behavior occurs, security teams need to understand not only what happened, but which library executed, which call chain triggered the activity, and whether the behavior was expected.

Traditional security controls were not designed to answer these questions. WAFs can inspect inbound traffic and block known attack patterns before requests reach the application, but they cannot observe what happens after code begins executing. RASP attempted to solve this challenge by instrumenting the application itself, but doing so often required invasive code injection and introduced operational, performance, and compatibility concerns.

ADR takes a different approach. Modern ADR platforms observe application execution behavior from the CPU level with no instrumentation and no code injection. This allows security teams to gain visibility into application runtime activity without modifying application code, without introducing the operational overhead associated with traditional instrumentation approaches.

ADR can observe which libraries are executing, how they interact with one another, which call chains are created, and what system resources those execution paths ultimately access. By understanding runtime behavior in context, ADR can identify when execution deviates from expected application behavior.

This enables organizations to detect exploitation activity associated with known vulnerabilities, CVE-less attacks, supply chain compromises, AI-generated exploit techniques, and zero-day threats based on runtime behavior rather than relying solely on signatures, indicators, or existing CVE identifiers.

The Three-Layer Map: What Each Tool Actually Covers

Decision Point WAF RASP ADR (Raven)
What it watches HTTP/HTTPS traffic at the perimeter Application internals via injected code Application execution at the library level
Deployment model Reverse proxy / CDN / Kubernetes ingress In-process plugin or agent per application No code injection required
CVE-less attack detection No — signature-dependent Limited — bounded by instrumentation points ✓ Yes — behavior-based, independent of CVE
Zero-day protection No — requires known signature Partial — limited by injected coverage ✓ Yes — detects behavioral deviation at execution
Library-level visibility No — operates outside the application No — not supported as a core capability ✓ Yes — patented library-level monitoring
Runtime SCA No No ✓ Yes — prioritizes by actual execution
AI agent visibility No No ✓ Yes — runtime AI-DR capability
Performance overhead Low at edge; varies by deployment Up to 10%+ CPU, 1GB+ memory ~0.4% CPU, 150–300MB memory
Code modification required No Yes — agent/plugin per application No — zero code changes
Supply chain detection No — no runtime visibility Limited ✓ Yes — detects behavioral anomalies in libraries
Kubernetes-native Yes — cloud-native WAF options No ✓ Yes — single Helm chart, 5-minute deploy

When Each Tool Is the Right Fit

Use a WAF when:

  • You need perimeter-level protection against known attack signatures and bot traffic.
  • Compliance frameworks require WAF coverage as a control (PCI-DSS, SOC 2).
  • You need DDoS protection, rate limiting, or CDN-integrated security.
  • Your priority is edge filtering and traffic management.

Use RASP when:

  • Your RASP vendor is still actively supporting the product. (Many RASP vendors are announcing end of life.)
  • Application instrumentation is acceptable in your environment.
  • Performance overhead is not a primary concern.
  • Application-by-application deployment is operationally manageable.
  • Runtime and framework compatibility issues can be accommodated during upgrades.
  • Your applications don’t rely on modern cloud-native architectures.

Deploy ADR when:

  • You need visibility into what is actually executing inside your production applications
  • CVE-less attacks, zero-days, supply chain threats, or AI-generated exploits are part of your threat model
  • You need runtime security without code modification or application restarts
  • You are replacing a legacy RASP solution and need a modern, lower-overhead alternative
  • You need Runtime SCA to cut CVE noise and prioritize by actual execution
  • AI agents are operating in your environment and you need behavioral visibility

A Modern Attack Example

Consider a common modern attack scenario:

A malicious request reaches an application through a valid API call. The payload itself appears legitimate, so the WAF allows it through. Inside the application, a vulnerable dependency begins executing unexpected behavior. The exploit never drops malware onto the host and never triggers a traditional signature-based alert.

This is where runtime visibility becomes important.

The WAF still provides valuable perimeter filtering. But ADR can observe what the application actually does after the request is accepted.

Do You Need All Three?

The honest answer for most enterprise environments: WAF and ADR together provide complementary coverage that neither delivers alone. WAF handles the perimeter - known signatures, bot traffic, DDoS, compliance. ADR handles the execution layer - behavioral detection, CVE-less threats, supply chain, runtime visibility.

RASP was designed to fill the same gap ADR fills. If you are running a RASP solution that is well-maintained, low-overhead, and working in your environment, ADR is an evolution rather than an immediate replacement. If your RASP is reaching end-of-support, generating excessive overhead, or struggling with Kubernetes and container environments, ADR is the modern replacement path.

The security architectures that will hold up long term are the ones that combine perimeter protection with runtime visibility, without introducing unnecessary operational complexity.

The challenge for most teams is not choosing a single control layer. It is understanding where each layer fits in a modern runtime security architecture.

Want to go deeper on how these categories compare across every decision point? Talk to an expert.

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