Arnica Named a Representative Provider in Gartner® Innovation Insight for Agentic Application Security Testing

Arnica has been named a Representative Provider in the Gartner® Innovation Insight for Agentic Application Security Testing, published June 2026. The report examines how AI-driven security testing is changing the way organizations find and address complex vulnerabilities in their code.

What the Report Covers

Traditional application security testing tools are built on pattern matching. They're fast and consistent at catching known vulnerability classes, but they have a hard ceiling: they can't reason about what code is supposed to do versus what it does. That gap is where business-logic vulnerabilities, authentication bypasses, and multistep exploits tend to live. It's also where manual code review has historically been the only option.

Agentic AST takes a different approach. Rather than matching patterns, these tools use large language models within a structured workflow to reason through application logic, map trust boundaries, and identify vulnerabilities that require context to understand. The structured workflow, sometimes called an agentic harness, matters as much as the underlying model. It's what allows agents to specialize, chain findings, and validate results dynamically, generating remediation suggestions rather than producing a flat list of possible issues that security teams have to triage manually.

Gartner notes that by 2028, half of organizations with an application security testing program will integrate their traditional SAST with agentic AST as a complementary layer.

Where Arnica Fits

Arnica's AI SAST, powered by Arnie, is built on the same foundation the report describes: an agentic harness that orchestrates specialized agents across the security testing workflow. It goes beyond what pattern-based SAST can do, identifying the complex, context-dependent vulnerabilities that require reasoning to surface.

• Context mapping. Before any vulnerability discovery begins, Arnie maps the application's architecture, operational scripts, and trust boundaries to give the entire pipeline shared context. This is what makes cross-file and multistep vulnerability discovery possible, rather than treating each file in isolation.‍
• Parallel, specialized discovery. Rather than running a single broad scan, Arnie deploys parallel agents focused on specific attack classes and regions of code. This covers the vulnerability types that are hardest to find with deterministic tools: broken access control, authentication bypasses, insecure direct object references, race conditions, and logic flaws that span multiple components.‍
• Validation and false positive reduction. Findings are independently validated before they surface, using dynamic execution to confirm exploitability. Teams see verified results rather than a backlog of unconfirmed candidates.‍
• Reachability-informed prioritization. Not every vulnerability is equally urgent. Arnica's reachability analysis determines whether a flaw is reachable in the application's runtime context before it gets prioritized for remediation. Security and development teams work through what can be exploited, in order of actual risk.‍
• Remediation suggestions. Arnie generates specific, actionable code fixes alongside each finding. The goal is to reduce the manual burden on developers and close the loop between discovery and resolution.

AI SAST works alongside traditional SAST, as a complement to it. Arnica integrates both, using deterministic scanning where it's the right tool for the job and agentic reasoning where the vulnerability requires it. The result is coverage across the full spectrum of application security risk.

Developer-Native From the Start

The Gartner report notes that adoption without addressing internal patching bottlenecks is a wasted investment. More findings only create value if teams can act on them. Arnica is built with that constraint in mind.

Security findings reach developers through the tools they already use, including ChatOps integrations and pull request workflows, without requiring context switching or a separate security portal. The Developer Feedback Loop gives developers a way to flag false positives at scale and surfaces policy suggestions for AppSec teams to review and apply in a few clicks. Onboarding takes under five minutes, with no infrastructure changes and full repository coverage from day one.

The combination of agentic discovery and developer-native delivery is what makes the output actionable at the velocity modern engineering teams need.

What's Next

AI-generated code is expanding the application security testing surface faster than traditional tooling was designed to handle. As agentic coding tools become standard, the code produced by those agents carries the same risk profile as human-written code and requires the same quality of security coverage.

Arnica is investing in broader coverage across AI-generated and agent-produced code, deeper integration with tools, teams, and processes, and continued improvement to reachability analysis so prioritization keeps pace with the volume of findings agentic discovery produces. The goal is the same as it has always been: security that works with the way software is built.

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Gartner, Innovation Insight for Agentic Application Security Testing, Dionisio Zumerle, 5 June 2026.

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