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Mobb

Security remediation platform that uses hybrid AI to generate predictable fixes from findings produced by existing scanners.

SecurityenterpriseSource verified

Detailed overview

Mobb is a security remediation platform that works with findings from existing application security scanners. Its hybrid AI workflow analyzes vulnerabilities and produces developer-oriented fixes through the Clean Fix approach, allowing teams to improve remediation without replacing their current security stack. The official evidence describes predictable fix generation, remediation validation, integrations and coverage, product documentation, and enterprise-oriented workflows. Mobb is focused on turning detected issues into actionable changes and helping teams review the proposed result, rather than serving as a standalone general-purpose code scanner. Organizations should confirm the specific scanner integrations, supported languages, validation behavior, deployment options, and enterprise controls available to them. Automated remediation can reduce repetitive work, but security engineers still need to assess the proposed changes and their effect on application behavior. Mobb is a distinct addition for teams whose main bottleneck is fixing and validating findings across existing AppSec tools.

Pricing details

Enterprise and pilot access are offered; integrations, remediation scope, and commercial terms should be confirmed with Mobb.

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Key features

  • Hybrid AI remediation
  • Clean Fix workflow
  • Scanner finding intake
  • Fix generation
  • Remediation validation
  • AppSec integrations
  • Developer-oriented findings

Systems you can build

  • SaaS web apps
  • APIs
  • Backend services
  • CI/CD pipelines

Strengths

  • Works with existing scanners
  • Focuses on remediation
  • Designed for enterprise workflows

Limitations

  • Requires compatible scanner findings
  • Fixes need review
  • Commercial scope requires confirmation

Verification sources

Listing details are checked against official sources.

https://mobb.ai/