Application Security Tools Compared: Why Modern AppSec Teams Move Beyond Static Scanners
Compare runtime-validated AppSec against the static scanners, developer-native platforms, and AI code review tools you already evaluate. See where Kodem fits across SAST, SCA, container security, and runtime defense. Pick a vendor comparison below or scan the capability matrix.
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Compare Kodem to your current application security tool
Kodem brings an end to false positives and wasteful manual labor, leading your security and dev teams to only take meaningful action that heightens security.
Kodem vs Snyk
Replace static dependency scanning with runtime call graph validation and Attack-Driven Remediation.
Kodem vs Checkmarx
Source-code-only static analysis vs hybrid static and runtime analysis with binary coverage.
Kodem vs Veracode
Binary scanning without execution context vs eBPF-driven runtime call graphs.
Kodem vs Semgrep
Pattern-rule SAST and SCA vs runtime-validated exploitability and ADR.
Kodem vs Github
CodeQL-bound static scanning vs cross-repo, cross-language runtime call graph validation.
Capability comparison:
Kodem vs every mode
What is runtime application security?
Runtime application security is the practice of validating which vulnerabilities are actually exploitable in a running application, and defending against exploitation in real time rather than waiting for upstream patches.
It combines static analysis with runtime telemetry to build accurate call graphs of what code executes, where untrusted input flows, and which vulnerable functions are reachable. Modern runtime application security tools add Attack-Driven
Remediation, runtime policies that intercept exploit attempts at the kernel level. The result: false positives drop, mean time to remediation drops, and exploit windows close before code is patched.
Reviewed by Pavel Furman
Co-founder & CTO, Kodem
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Why current application security tools produce more noise than action
Modern AppSec stacks generate thousands of findings. Static analysis (SAST and SCA) and developer-first scanning tools produce long lists of potential issues but provide little context or evidence of exploitability. They suffer from five compounding failures:
Conservative call graphs
Static analyses approximate control flow, leading to false positives and high triage overhead.
Limited scope
Static scanners often miss compiled dependencies, transitive packages, and container layers entirely.
No runtime context
Tools cannot confirm that a vulnerable function is ever invoked, or whether the environment exposes it to untrusted input.
No zero-day coverage
Reliance on CVE databases leaves unknown vulnerabilities undetected until disclosure.
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No runtime defense
Remediation depends on developers fixing code. The exploit window stays open until deployment, sometimes 30 to 230 days after disclosure.
Security teams are overwhelmed not by a lack of signal, but by a lack of certainty and control.
How Kodem works: runtime validation plus ADR
Kodem deploys lightweight eBPF sensors that collect runtime call graphs without instrumenting your code, then applies generative AI to validate exploitability, catch zero-day patterns, and generate ADR policies that block unsafe calls before payloads execute.
No runtime context
Tools cannot confirm that a vulnerable function is ever invoked, or whether the environment exposes it to untrusted input.
Cross-language and polyglot support
Monitors Java, .NET, Go, Rust, Node.js, Python, C/C++, and interpreted languages uniformly.
Deep dependency analysis
Inspects source and binary dependencies, including pre-compiled native libraries and OS packages.
Generative AI for exploit validation
Merges static and dynamic signals to rank vulnerabilities by exploitability, eliminating dead-code alerts.
Zero-day detection
Identifies suspicious call sequences and behaviours (unsafe deserialization, reflective invocation) even before a CVE is published.
Attack-Driven Remediation (ADR)
Synthesizes runtime policies that intercept unsafe calls, block injection payloads, and enforce safe defaults without touching application code.
Real-time telemetry
Feeds continuous call-graph data into a graph database for correlation, query, and forensic analysis.
CI/CD and production-resident
Runs as a gating step in CI and remains active in production, protecting the exploit surface from dev through deployment.
Why traditional models fall short
| Model | Core Mechanism | Technical Limitations |
|---|---|---|
| Static analysis (SAST & SCA) | Cannot observe runtime behaviour. Conservative reachability leads to false positives. Lacks insight into compiled dependencies and dynamic loading. | Cannot observe runtime behaviour. Conservative reachability leads to false positives. Lacks insight into compiled dependencies and dynamic loading. |
| Developer-native scanning | Integrates SCA and SAST into CI/CD pipelines and IDEs | Same static limitations. Only sees what is in the repository. Cannot observe library calls, system interactions, or container images at runtime. |
| AI code review tools | Large language models reason about code patterns and suggest fixes | Limited by training data. Cannot verify that vulnerable code executes. No visibility into runtime or compiled dependencies. No defense. |
| WAF, EDR, and NDR | Inspect network and host traffic | See only network packets or process behaviour. Cannot correlate to function-level execution or code context. High false positives. Cannot auto-patch vulnerabilities. |
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Hybrid static + runtime call-graph collection (eBPF) with AI-driven taint analysis and ADR | Unifies and extends the four approaches above. Covers code, dependencies, containers, and runtime. Validates exploitability. Models attack chains. Enforces protection. |
Attack walkthroughs: ADR in action
CVE-2021-44228
No runtime context
Static scanners flagged every use of Log4j, forcing emergency upgrades across thousands of services. Kodem traced runtime call graphs and saw that many services never invoked the vulnerable JndiLookup.lookup() call. It downgraded those alerts and prevented unnecessary patching.
In services where the call did occur, Kodem's ADR injected an eBPF policy that intercepted the JNDI lookup and blocked remote code loading. Exploits were neutralized while the library was patched in the background.
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CVE-2022-22965
Spring4Shell
When a classloader manipulation flaw surfaced in Spring, static scanners could only warn. Kodem detected anomalous reflective calls at runtime, correlated them with untrusted inputs, and blocked the behaviour.
Developers applied a fix later, but the service stayed protected from day zero.
Unpublished
Zero-day deserialization RCE
Generative AI flagged a suspicious deserialization pattern that matched no known CVE. Kodem's eBPF trace captured the gadget chain and prevented the final Runtime.exec() call.
The vulnerability was reported to the maintainer. Traditional tools never saw it.
AppSec teams running on Kodem
"Kai saved our engineers time, 10x’d our team, and gave us visibility we never had"
"We uncovered every attack scenario our past SAST and SCA tools missed and eliminated a seven‑figure risk before it hit production."
"No other tool showed us how low-severity vulns could be chained into a breach. Kodem® did."
"Wiz made infra security feel easy. Kodem® is doing the same for AppSec. It tells us what attackers can actually reach."
– Nir Rothenberg, CISO
Kodem in numbers
99.5%
reduction in alerts that don't matter
74%
improvement in Mean Time to Remediation
83%
fewer net-new vulns per release
10x
effective team multiplier (Apollo.io)
Frequently asked questions
Application security tools detect, validate, and defend against vulnerabilities across an application's lifecycle. Traditional categories include SAST (source code analysis), SCA (dependency scanning), DAST (dynamic testing), container scanning, IaC checks, and secrets detection. Modern application security tools add runtime call graph validation, exploitability scoring, and runtime defense capabilities like Attack-Driven Remediation. The category is consolidating: where teams once stitched together five or six tools, modern AppSec platforms like Kodem unify scanning, validation, and defense in one system.
The best application security tools in 2026 depend on what you are trying to solve. For runtime-validated exploitability and Attack-Driven Remediation, Kodem is the category-leading platform. For developer-led shift-left programs with broad ecosystem coverage, Snyk remains a common choice. For enterprise SAST depth, Checkmarx and Veracode have established positions. For reachability-focused SCA without runtime telemetry, Endor Labs is the closest static-only equivalent. For all-in-one developer-friendly platforms at SMB pricing, Aikido is an option. Compare any of these against Kodem directly via the vendor comparisons in Section 2 above.
Application Detection and Response (ADR) is a runtime defense capability that intercepts exploit attempts at the application layer, in real time, without requiring a code patch. ADR works by observing application execution (typically via eBPF or similar kernel-level instrumentation), recognizing exploit behaviour as it happens, and injecting policies that block the unsafe call or sanitize the input. ADR is the application-layer equivalent of EDR for endpoints: detection plus defense, not detection alone.
Reachability analysis determines whether a vulnerable function in your code or dependencies is actually invoked during execution. Static reachability builds a call graph from source code and checks whether a path exists from your application's entry point to the vulnerable function. Runtime reachability observes actual execution and confirms whether the function ran. Kodem uses runtime reachability validated by eBPF call graphs, which produces fewer false positives than static reachability because it sees what code actually ran, not what could theoretically run.
SAST analyzes source code for vulnerabilities. SCA scans dependency manifests against CVE databases. CNAPP platforms (like Wiz or Prisma) secure cloud infrastructure and configuration. Kodem unifies SAST and SCA with runtime call graph analysis and AI-driven taint tracking, then adds Attack-Driven Remediation for runtime defense. Where SAST and SCA produce findings lists that require manual triage, Kodem produces a validated action list with exploitability already confirmed. Where CNAPP secures cloud infrastructure, Kodem secures the application running on top of it.
eBPF (extended Berkeley Packet Filter) is a Linux kernel technology that allows programs to run inside the kernel without modifying kernel code. Kodem uses eBPF to observe system calls, network I/O, and function execution across containers, virtual machines, and serverless runtimes without instrumenting application code. eBPF gives Kodem cross-language runtime visibility with sub-millisecond latency, less than 1 percent CPU overhead, and no application restart required at deployment.
Yes for most teams. Kodem covers everything SAST and SCA tools cover (source code analysis, dependency scanning, container scanning, IaC) and adds runtime call graph analysis, exploitability validation, zero-day pattern detection, and ADR. Teams typically run Kodem alongside their existing tools for one to two quarters during transition, then consolidate. Snyk, Checkmarx, Veracode, Semgrep, Endor Labs, and GitHub Advanced Security users have a dedicated comparison in Section 2 above.
See what your AppSec stack is actually missing
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