Last reviewed: April 2026
AI-powered cybersecurity platform.
Veracode is an AI-powered cybersecurity platform that detects threats, prevents breaches, and protects digital infrastructure. It is designed for developers, appsec engineers, devsecops teams across the cybersecurity sector. Founded in 2010, the company is recognized for its developer-friendly and ci/cd integration.
Veracode is best suited for developers, appsec engineers, devsecops teams. Enterprise pricing with dedicated support and custom deployment.
Official website: Veracode
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The platform is designed to address the specific challenges faced by Cybersecurity organizations. Key users include Developers, AppSec engineers, DevSecOps teams who rely on the platform for sast enterprise, developer-first security, appsec program. In the rapidly evolving Cybersecurity landscape, Veracode stands out by combining application security capabilities with industry-specific features that address the unique challenges of sast enterprise, developer-first security, appsec program. The platform enables Developers and AppSec engineers to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the application security space, Veracode differentiates itself through its focus on Cybersecurity use cases, and Enterprise (custom pricing) that accommodates organizations at different stages of their AI adoption journey.
Before adopting Veracode or any Application Security solution for your cybersecurity workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. Veracode positions itself as a Application Security solution, having been in the market since 2010, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the Application Security space to establish a meaningful benchmark. Veracode uses a Enterprise (custom pricing) pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated cybersecurity environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
Veracode is a Application Security platform designed for cybersecurity organizations. AI-powered cybersecurity platform.
Veracode scores 9/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across Application Security tools. Read our full scoring methodology.
The top alternative to Veracode on AI Scanner is GitHub Advanced Security with a score of 9.3/10. Other alternatives include Snyk AI, Semgrep, Checkmarx. Compare all alternatives.
Veracode is designed for enterprise organizations. Its Enterprise (custom pricing) pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
Veracode uses a Enterprise (custom pricing) pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.