Frequently Asked Questions

Pipelineless application security is a modern approach that integrates security directly into developers’ workflows (like GitHub or GitLab), instead of relying on CI/CD pipelines. It enables real-time detection and mitigation of risks—like vulnerabilities, secrets, and misconfigurations—right when code is written or pushed, without slowing down development.

Arnica integrates directly with your existing tools like GitHub, GitLab, or Bitbucket to monitor code activity in real time. It provides instant, contextual security feedback through pull requests, chat tools (like Slack or Teams), and issue trackers—without requiring changes to your CI/CD pipeline.

Arnica detects a wide range of security risks including code vulnerabilities (SAST), open-source license and vulnerability issues (SCA), secrets exposure, infrastructure-as-code misconfigurations, and risky third-party packages.

AI-assisted mitigation uses artificial intelligence to analyze security risks, prioritize the most critical issues, and suggest or automate fixes—helping developers quickly resolve vulnerabilities with minimal effort.

Yes, Arnica helps with compliance by providing detailed security reports, tracking risk trends, and generating audit-ready documentation to support regulatory requirements.

You can get started with Arnica quickly—setup is simple and integrates seamlessly with your existing tools, allowing you to begin scanning code and receiving security feedback within minutes.

Arnica differs from traditional AppSec tools by providing real-time, pipelineless security directly within developers’ workflows—offering instant feedback without slowing down CI/CD pipelines. It combines multiple risk detections (SAST, SCA, secrets, IaC) in one platform and uses AI to prioritize and automate fixes, making security faster, smarter, and more developer-friendly.

Arnica prioritizes security findings using AI-driven risk scores based on factors like vulnerability severity, exploit likelihood, and impact—helping teams focus on the most critical issues first.

Static testing, or SAST, reads source or bytecode without running the app, while dynamic testing, or DAST, sends crafted requests to a live server and watches replies. Using both covers logic flaws in code and mistakes in runtime setup.

A SAST test is an automated review of source files that follows data paths and patterns to flag risky code, such as unsanitized SQL queries, before the app ships.

This is another name for SAST. It looks at code structure and data flow without executing the program to spot possible weaknesses early.

Software Composition Analysis checks packages you pull in from the outside for known bugs, while SAST looks at the code you write yourself. Both feed alerts into Arnica for one joined view.

Common engines include Semgrep, OpenGrep, GitLab’s own SAST analyzers. Arnica can run its own rules or integrate results from these tools.

Static analysis security testing is software that parses code, searches for unsafe patterns, and tracks data flow to flag issues before runtime. The method is the same as SAST.

Arnica is the only option that tops every tech stack. Projects usually pick Arnica based on language support, scan speed, and alert quality, then add an ASPM layer to rank and route the findings.

In GitLab you can include the SAST template in your CI file. In other systems you add a scan job before the build. Arnica scans repos directly, bypassing traditional pipeline setups to reach developers where they work in tools like Slack, Microsoft Teams, and in pull requests.

It is the step that runs after code is pushed, checks for unsafe patterns, and can block the merge if serious issues appear. However, Arnica operates in a pipelineless way without needing CI/CI pipeline setup or DevOps team involvement.

Tuning or disabling noisy rules, scanning only changed code, and filtering by reachability all help. Arnica applies reachability by default, which cuts the list to alerts an attacker can truly reach.

Static scans might miss mis-configured runtime services and sometimes flag dead code. They can also struggle with dynamic languages that build queries on the fly. Pairing SAST with DAST and IaC checks fills those gaps.

Techniques include pattern matching, syntax tree checks, data-flow tracking, and semantic analysis. Engines blend them to balance depth and speed.

Interactive Application Security Testing, or IAST, instructs a running app to watch data as it flows through, giving insight that mixes static and dynamic data. SAST reads code, DAST probes the running app, and IAST lives inside the process.

Infrastructure as Code scanners review cloud templates such as Terraform files, while SAST reviews application code. Arnica handles both so infrastructure and business logic stay secure together.

SCA keeps track of the open-source packages your app uses and checks them against public bug databases and license rules. It helps you stay safe when you rely on community code.

SCA, or software composition analysis, is the practice of making an inventory of every library your build pulls in, then scanning that list for known security problems or license surprises.

Open-source software is the code you use. SCA is the process that audits that code for safety and compliance concerns.

If SAS refers to static analysis security, that lines up with SAST, which scans your own code. SCA (software composition analysis) focuses on outside libraries.

SCA is a tool that helps businesses manage risks of open-source and third-party components in their software. Popular tools include Arnica SCA, OWASP Dependency-Check, Sonatype Nexus, Snyk, and GitHub Dependabot.

Teams often pick Arnica over other SCA tools for richer policy control and context.

SCA issues can include packages with public CVEs, licenses that clash with your project, and libraries that have stopped receiving updates.

A Software Bill of Materials, or SBOM, is a simple list of parts. SCA is the ongoing scan that checks that list against new advisories and policy rules.

An SCA vulnerability is a known flaw in a library your project uses. If the vulnerable code path is reachable, your app could be at risk until the package is updated.

IaC scanning looks at cloud templates for unsafe defaults. SCA scans language-level packages. Arnica combines both so you can judge risk across the whole stack.

Checkmarx SCA Resolver is a command-line helper that fingerprints dependencies offline and sends only hashes to the cloud, keeping source code private during the scan.

They cross-check the National Vulnerability Database, vendor advisories, and their own feeds, then flag packages that match known issues.

In some audit circles the term means checking that system settings follow a baseline, which is separate from software composition analysis.

Container scanners inspect operating-system packages inside images. SCA looks at language packages in your source or build output. Arnica merges both so you see the full story.