01
Published research record
31 CVEs / 15 MITRE tickets
The research timeline documents the 48-hour vulnerability sprint, confirmed MITRE tickets, and coordinated disclosure status.
Research timelineOur commitment to security is not a promise — it is a verifiable reality. Built by a CISSP-certified security expert, Innora.ai uses code and automated processes to construct trust, not marketing claims.
The strongest public proof appears first: published research, methodology, disclosure operations, and inspectable engineering surface.
Evidence rule
Every claim below links to a source a buyer can verify.
31 CVEs / 15 MITRE tickets
The research timeline documents the 48-hour vulnerability sprint, confirmed MITRE tickets, and coordinated disclosure status.
Research timelineAI-assisted audit method
The methodology article explains target selection, sanitizer verification, three-model validation, and coordinated disclosure boundaries.
31-CVE methodologyCanonical security.txt
The disclosure policy gives researchers a stable contact path, policy URL, acknowledgments route, preferred language, and expiry date.
security.txtOpen security tooling
The public GitHub organization exposes security projects, examples, and implementation signals that buyers can inspect independently.
sgInnora GitHubAI crawler policy
Innora publishes crawler-facing assets for public discovery, answer routing, citation freshness, and responsible security reporting. Private APIs and build artifacts remain blocked from crawler access.
Robots rules allow public content discovery for search and AI crawlers while blocking private, API, and build-output surfaces.
/robots.txtllms.txt lists priority pages, product proof routes, citation guidance, and freshness metadata for AI answer engines.
/llms.txtThe sitemap is the source of truth for public pages that should be discoverable, cited, and audited.
/sitemap.xmlsecurity.txt gives researchers a stable reporting channel, policy URL, acknowledgment route, and expiry date.
/.well-known/security.txtWe pursue industry-recognized standards to provide verifiable evidence of our security posture.
Internal SOC 2 readiness controls implemented. External Type II audit on the enterprise roadmap; not yet engaged.
Data processing aligned with GDPR requirements. Custom DPA can be drafted on request for enterprise customers.
Open-source core components, public status page, and a vulnerability disclosure program from day one.
We follow a 'distrust by default' architectural principle. Every access request is verified independently, regardless of source.
We address the 'bus factor' head-on with automated failsafes and documented recovery procedures.
Signed Enterprise agreements can define uptime targets, support coverage, and status monitoring. Live service status remains public.
View Live StatusDaily automated database backups with 30-day retention. Off-site storage with defined RTO and RPO targets.
Automated continuity mechanism. If the founder is unreachable for 30 days, emergency access is granted to designated legal counsel and technical trustees.
Full source code and operational documentation held by a trusted third-party escrow service, released under defined trigger conditions.
Don't take our word for it — verify it yourself.
Live uptime monitoring and incident history for all Innora.ai services.
Visit Status PageWe welcome responsible security research. The canonical policy is published at /.well-known/security.txt; report via [email protected] or the scoped contact route with reproduction steps and PoC evidence.
View security.txtCore security tools are open source on GitHub. Audit the code, file issues, and contribute.
View on GitHubYour data is your data. We handle it with the care it deserves.
We collect only the minimum data necessary to provide and improve our services. This includes account information, usage telemetry, and security event logs. We never sell user data.
Primary infrastructure is hosted on AWS US-East (N. Virginia). For enterprise clients with data sovereignty requirements, we offer deployment on AWS Singapore through our SG entity.
Our core sub-processors include AWS (infrastructure), Stripe (payments), and select AI model providers. A complete sub-processor list can be shared with enterprise customers as part of a DPA discussion ([email protected]).
Submit a deletion request to [email protected]. We process all requests within 30 days in compliance with applicable data protection regulations.
No. Customer data is never used for training AI models. Your security data and configurations remain strictly isolated and confidential.
Built by experts, for experts. We believe radical transparency is the ultimate security posture.
Founder & Chief Architect
CISSP-certified security professional with 20+ years of industry experience. Every core architecture decision and security audit is personally led by the founder.
As a single-operator company, Innora.ai delivers unmatched response speed — security issues are handled directly by the person who built the system, with zero communication overhead.
Core platform built with Rust and eBPF — providing memory safety guarantees that eliminate entire classes of vulnerabilities (buffer overflow, use-after-free, data races) at the language level.
Download our security whitepaper for a comprehensive overview of Innora.ai's security architecture, compliance roadmap, and operational practices.