Appcan - 2026 Pricing, Features, Reviews & Alternatives

Appcan is a cloud-based automated security scanning platform for iOS and Android mobile applications, accessible via web at scan.appcan.io with no installation, SDK integration, or source code required. Developers, startups, and product and security teams upload an APK or IPA file, and the platform executes layered security checks combining static analysis, signature-based detection, and compliance evaluation across six core security domains. Findings are delivered as a ranked, plain-language remediation report rather than a raw data export, with AI-generated summaries that explain each issue in accessible terms and indicate prioritized fix order. The platform targets teams without a dedicated in-house security function, supporting pre-release security checks, compliance management, and cross-team communication between engineering, product, and stakeholder groups.

Each scan evaluates insecure data handling, authentication weaknesses, encryption issues, third-party library risks, and compliance concerns aligned with the OWASP Mobile Top 10. Results are consolidated in a single dashboard spanning all scanned applications, and each app receives an Application Quality Score with percentile benchmarking against the full database of scanned apps, allowing teams to track and compare security posture over time. Compatible inputs include CI artifacts, TestFlight builds, and distribution packages for iOS. Sign-in is available via Google, GitHub, or email, and a free plan with limited scan credits allows platform evaluation before committing to a paid subscription with unrestricted scan access.

AI analysis within Appcan supports interpretation and prioritization of scan results but does not replace user security judgment; all final decisions remain with the user, and raw scan data is always accessible independently of AI-generated insights. This separation ensures that security, engineering, and non-engineering stakeholders can engage with findings at the appropriate level of technical depth, reducing time spent interpreting results and accelerating remediation workflows across teams of varying security expertise.