Who AI recommends, and when it changes.
Data as of Apr 10, 2026 · Based on 40 AI answers · A buyer need in Automated Patch & Vulnerability Remediation Platforms. · See how Parse measures this
AI assistants most frequently recommend for code vulnerability ticketing, thanks to its AI-powered AutoFix that auto‑triages findings and generates pull requests. and are close behind, offering real‑time scanner mapping and automatic fix PRs respectively.
Where a different pick wins:
AI consistently recommends GitHub Advanced Security for its Copilot Autofix and deep integration with GitHub workflows. · 1 source
CorgeaCorgea is highlighted for auto‑triaging and fixing a high percentage of findings with an AI‑native approach. · 2 sources
AktoAkto is recommended for automating Jira tickets from API security test results. · 1 source
InvictiInvicti integrates with Jira to auto‑create detailed vulnerability tickets from verified dynamic scan results. · 1 source
Kodem provides runtime‑aware Jira tickets with context on specific runtime conditions. · 1 source
CheckmarxCheckmarx correlates findings with reachability to show true exploitability in tickets. · 1 source
Recommendation share
Aikido leads at 18% of AI recommendations; Arnica follows at 15%.
By platform
Platforms disagree: Aikido leads on Google AI Overviews, Arnica on ChatGPT.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
Why here: Aikido uses AI-powered AutoFix for automatic pull requests and low-noise ticket creation. · 3 sources
Why here: Arnica auto-generates tickets and PRs with real‑time scanner mapping and developer‑native security. · 3 sources
Why here: Snyk integrates with GitHub and CI tools for automatic fix PRs and retesting. · 3 sources
Why here: Checkmarx automates tickets with reachability context and agentic IDE guidance. · 2 sources
