AI-generated from public sourcesThe starting point for every profile: auto-generated by 0-Doubt from public vendor materials, and not yet confirmed by the vendor or an independent analyst. Nothing here is hidden or overstated — it simply has not been reviewed yet.Where every profile starts, before the vendor or an analyst has reviewed it. A higher label means a more independent source — not a better product.How trust works →Secure coding rating: 52/100How this score is computedA product with no known CVEs starts at a neutral score and climbs the longer it goes without one; a product with known CVEs is penalized by severity instead. This one has 0 known CVEs (vendor-level match — see the CVE list below) and is tracked as ~107 days old in our catalog (a stand-in for real release date, which we don't track). The platform admin controls the formula's weights.
AI platform that triages AppSec findings & generates validated fix PRs.
AppSecAI is an AI platform that triages application security findings from any code scanner and generates validated, tested code fixes delivered as pull requests, enabling security teams to automate vulnerability remediation without requiring developers to change their workflow. It is designed for organizations seeking to reduce manual triage effort and accelerate remediation across their entire application portfolio, including legacy and untested apps.
Strengths
Simultaneous ingestion from any SAST or AI scanner (SARIF/JSON)
Automated triage at 97% measured accuracy
Validated code fix generation at 93% measured accuracy
Vulnerability grouping by class, file, source and sink
Automation levels set per vulnerability class and application
Per-fix evidence chain and audit trail
Pricing & packaging
Pay per accepted fix, $0 for rejected fixes
News about AppSecAI (4)Where this comes fromItems from AppSecAI's own public feeds — changelog, blog, GitHub releases or status page — that name AppSecAI in the headline or summary. News from AppSecAI that does not name this product is on the vendor's page instead. Each headline links to the original source; nothing here is written by 0-Doubt.
