Security research reports, company information, and brand assets.
How we discovered 17 automotive zero-days across 9 open-source projects — 16 of them now MITRE-assigned CVEs — using AI-augmented code auditing. Includes the Cerberus Protocol methodology, ASAN verification data, and 3-LLM cross-validation framework.
Public version of the AI-assisted automotive code audit methodology.
Public research record with MITRE ticket table, disclosure timeline, and methodology links.
Product page connecting the methodology to CVE benchmark and validation proof.
Source-backed trust record including disclosure policy, research proof, and public engineering surface.
SharpEye, vulnerability scanners, and public security tooling.
Primary SVG logo for press, partner, and analyst references.
Square PNG icon for compact media cards and PWA references.
High-resolution PNG icon for app stores, previews, and press cards.
Canonical RFC 9116 security.txt policy for vulnerability reporting.
Downloadable long-form research report hosted as a static PDF asset.
Innora is an AI security research company founded in 2023. Our public dataset covers 45 assigned CVEs across automotive, IoT, and AI systems, including 16 MITRE-assigned automotive CVEs from a 48-hour research sprint that surfaced 31 vulnerabilities.
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