Arnica takes a fundamentally different approach to application security by eliminating the need for CI/CD pipeline integration entirely. Instead of scanning code only when it reaches a pull request or build step, Arnica monitors every push to every branch in real-time through direct SCM integration with GitHub, GitLab, Bitbucket, and Azure DevOps. This pipelineless architecture means security coverage begins the moment the tool is installed — no per-repository configuration, no developer opt-in, and no gaps in feature branches or backlog code. The platform covers SAST, SCA with function-level reachability analysis, hardcoded secrets detection with automatic remediation, IaC scanning, license compliance, and low-reputation package identification.
The Arnie AI engine introduced in late 2025 represents Arnica's push into agentic application security. It combines traditional rule-based static analysis for fast, deterministic detection with a multi-agent AI reasoning layer that interprets developer intent, understands cross-file dependencies, and identifies complex vulnerabilities like business logic errors and authorization flaws that pattern-matching alone would miss. The Agentic Rules Enforcer embeds version-controlled security policies directly into repositories, enforcing standards like OWASP ASVS in real-time as code is written — whether by humans or AI coding assistants like Copilot or Claude. When violations occur, developers get inline explanations in their pull requests, Slack, or Teams.
Arnica offers free visibility including code risk reports, git posture analysis, SBOM inventory, and excessive permissions detection across all repositories. Paid tiers add automated remediation workflows, AI-generated fix suggestions, and enterprise support. The platform is available on the AWS Marketplace and as a GitHub Marketplace app with zero-configuration setup. Risk prioritization uses CVSS, EPSS, and KEV scoring alongside business context and code reachability to surface the most exploitable issues first, reducing the alert fatigue that plagues traditional SAST tools.
