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Scanity Review

Scanity is a security tool designed to automatically scan pull requests for vulnerabilities in AI-generated code, blocking merges for high-severity findings.

shipped Aug 30, 2026codefreemium
code
Scanity — product screenshot

Why it matters

1Scanity specifically targets vulnerabilities in AI-generated code, rather than being a general-purpose SAST tool.
2It integrates with GitHub to automatically scan pull requests and block merges for high-severity security findings.
3The tool offers a freemium pricing model, with an 'Individual' free tier and a 'Team' tier at $29.99/seat/mo.
4Scanity learns from team-verified findings to improve the precision of its vulnerability scans.

About Scanity

Business Model
Subscription SaaS
Usage Pricing
$29.99/seat/mo per seat
Free Credits
$20 worth of tokens per seat
Team Size
small
Platforms
Web
Target Audience
Developers and teams working with AI-generated code

Pricing Plans

Individual
Free
  • • Start free on one repository.
Team
$29.99/seat/mo
  • • $20 worth of tokens per seat
  • • Everything in Pro, for every seat
  • • Centralized billing across the team
  • • Shared repos with per-member visibility controls
Enterprise
Custom
  • • Unlimited repositories
  • • SSO and audit logs
  • • Custom severity-gating policy
  • • Dedicated support

Cost Examples

  • • 1 seat per month: $29.99

Leadership

Ayman AhsanFounder · CEO
Dihyah AdibCo-founder · Lead Engineer
SM AyatCFO

overview

What is Scanity?

Scanity is a code security tool developed by Ayman Ahsan, Dihyah Adib, and SM Ayat that enables developers and development teams to detect and mitigate vulnerabilities in AI-generated code. It is specifically tuned for the failure modes that LLMs produce, ensuring that high-severity findings block merges in continuous integration pipelines. Unlike general-purpose Static Application Security Testing (SAST) tools, Scanity focuses on the unique security challenges introduced by AI-assisted code generation. The platform learns from team verdicts on identified findings to continuously improve its scan precision.

features

Key Features of Scanity

Scanity provides a suite of features designed to secure AI-generated code within development workflows. Its core functionality revolves around automated pull request scanning and intelligent vulnerability detection.

  • Automatic scanning of pull requests for security vulnerabilities.
  • Detection of vulnerabilities specifically tuned for AI-generated code and LLM failure modes.
  • Blocking of merges for pull requests containing high-severity security findings.
  • Learning mechanism that improves scan precision based on team-verified findings.
  • Capability to perform full scans of entire repositories.
  • Integration with GitHub for streamlined workflow within collaborative coding environments.
  • Focus on security issues unique to AI-generated code, differentiating it from general SAST tools.

use cases

Who Should Use Scanity?

Scanity is primarily designed for developers, development teams, and security teams who are incorporating AI-generated code into their projects and require specialized security analysis.

  • Developers: For real-time feedback on security vulnerabilities in AI-generated code within their pull requests.
  • Development Teams: To enforce security standards for AI-assisted code, ensuring high-severity findings block merges in CI/CD pipelines.
  • Security Teams: To gain specialized insights into the unique security risks posed by LLM-produced code and to improve overall code security posture.
  • Organizations using AI for code generation: To establish a dedicated security layer for code produced by large language models.

how to use

How to Use Scanity

Scanity integrates directly into existing development workflows, primarily through GitHub, to automate the scanning of pull requests. Users can configure the tool to block merges based on the severity of detected vulnerabilities.

  • 1Sign up for a Scanity account via scanity.dev.
  • 2Connect Scanity to your GitHub repository.
  • 3Configure scan settings, including severity thresholds for blocking merges.
  • 4Submit a pull request containing AI-generated code.
  • 5Scanity automatically analyzes the pull request for vulnerabilities.
  • 6Review findings and, if high-severity issues are detected, the merge will be blocked until resolved.

pricing

Scanity Pricing & Plans

Scanity operates on a freemium model, offering different tiers to accommodate individual developers and larger teams. The pricing structure includes a free option and paid subscriptions with per-seat billing.

  • Individual: Free tier, suitable for single users.
  • Team: $29.99 per seat per month, designed for collaborative development teams.
  • Enterprise: Custom pricing, tailored for larger organizations with specific security and integration requirements.

Pros

  • +Specialized detection for vulnerabilities unique to AI-generated code and LLM failure modes.
  • +Automated scanning of pull requests with GitHub integration.
  • +Ability to block merges for high-severity security findings, enforcing security standards.
  • +Learning mechanism improves scan precision based on team verdicts.
  • +Offers a free tier for individual developers.

Cons

  • −Not a general-purpose SAST tool, meaning it may not cover all traditional code security vulnerabilities.
  • −Pricing for teams is per seat per month, which can scale for larger organizations.
  • −Specific details on the proprietary LLM models used for analysis are not publicly disclosed.
  • −Limited public user reviews due to its relatively recent market presence.

Similar Tools

Scanity vs Competitors

Scanity differentiates itself in the code security landscape by focusing specifically on the unique vulnerabilities introduced by AI-generated code, rather than serving as a general-purpose SAST tool. This specialization allows it to address LLM failure modes that broader tools may overlook.

1
SemgrepOn Stork

Semgrep allows developers to write custom rules using a simple pattern language, making it highly flexible for specific code analysis needs.

While Semgrep offers powerful and customizable static analysis, it is a general-purpose SAST tool and does not have built-in, specialized detection for vulnerabilities unique to AI-generated code like Scanity does. You would need to write custom rules to target such issues.

2
SonarCloudOn Stork

SonarCloud provides continuous code quality and security analysis, integrating deeply into CI/CD pipelines and offering comprehensive dashboards.

SonarCloud is a robust general-purpose SAST solution with strong PR integration, but it lacks the specific tuning for LLM failure modes in AI-generated code that Scanity offers. Its free tier is primarily for public open-source projects, whereas Scanity's freemium model might be more accessible for private projects at a small scale.

3
Snyk CodeOn Stork

Snyk Code focuses on developer-first security, providing real-time feedback on vulnerabilities directly within the IDE and during pull requests.

Snyk Code offers broad SAST capabilities and integrates well into developer workflows, but it is a general-purpose security scanner. It does not specifically target or specialize in the unique vulnerabilities and failure modes found in AI-generated code, which is Scanity's core differentiator.

4
Bandit↗

Bandit is a security linter specifically designed to find common security issues in Python code.

Bandit is an excellent free and open-source option for Python projects, offering deep analysis for Python-specific vulnerabilities. However, it is limited to Python code and does not have the specialized focus on AI-generated code vulnerabilities or the broader language support that Scanity might imply for its AI-code scanning.

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