Xygeni.io VS https://open-gpt.app/

Xygeni.io's answer

Xygeni stands out on three fronts: - Malware Early Warning (MEW): catches malicious open-source packages before a signature or CVE exists, closing the window most supply chain attacks exploit. Most tools, including competitors' free tiers, only detect malware once it's already known. - AI applies to everything, not just native findings: Xygeni's ASPM layer ingests results from third-party scanners already in your stack and applies the same AI Triage and Remediation to them, so switching vendors isn't required. - Full AppSec breadth at mid-market pricing: SAST, DAST, SCA, Secrets, CI/CD, IaC, and AI Security in one platform, with a genuinely usable free tier instead of enterprise-only contracts. European HQ means data sovereignty is built in, not bolted on.

Xygeni.io's answer

Most AppSec tools force a choice: buy a narrow best-of-breed tool per risk type, or buy an enterprise suite that's too expensive and too heavy for a mid-market team. Xygeni removes that trade-off. - You don't have to rip out what you already have. Xygeni's ASPM layer ingests findings from third-party scanners already in your stack and applies the same AI Triage, Explanation, and Remediation to them. Most competitors only prioritize their own findings, leaving everything else as a separate dashboard. - It catches what signature-based tools miss. Malware Early Warning (MEW) detects malicious open-source packages before a CVE or signature exists, even on the free tier. Snyk Free and Aikido Free, the closest comparisons in price and positioning, don't detect malware without a known signature. - It's full breadth without enterprise-only pricing. SAST, DAST, SCA, Secrets, CI/CD, IaC, and AI Security in one platform, at mid-market ACVs, not the six-figure contracts typical of Checkmarx or Veracode. - Security lives where developers already work. DevAI runs inside the IDE, proactively, without needing to be prompted, so security stops feeling like a separate tool developers have to go check. - Data sovereignty is default, not an add-on. European headquarters, relevant for GDPR and any organization that can't put data through a US-based platform.

Xygeni.io's answer

Xygeni's primary audience is application security and engineering teams at mid-market, regulated, or regulation-adjacent companies (finance, insurance, public sector, industrial), typically running teams that manage numerous repositories and CI/CD pipelines across multiple SCMs.

• CISOs and Heads of Application Security: the economic buyer, focused on risk posture, audit and certification readiness, data sovereignty, and consolidating too many disconnected security tools.
• DevSecOps Leads and AppSec Engineers: the technical evaluator, focused on coverage, false-positive rates, prioritization quality, and whether the platform ingests findings from tools they already run.
• VP Engineering / Head of Engineering: the affected stakeholder, concerned with developer friction, build times, and whether security adds work for their teams instead of removing it.
• Developers: not the buyer, but a real influence, the IDE and DevAI experience wins hearts and accelerates adoption even though budget decisions sit above them.

Beyond this core, Xygeni also reaches individual developers and small teams through a free, self-serve tier (up to 25 repos, 50 AI scans/month), which serves as both an entry point for smaller organizations and a growth channel toward the paid tiers.

Xygeni.io's answer

Xygeni was founded in 2021 and is headquartered in Madrid, Spain, built around a simple observation: application security tools multiply faster than the risk they're meant to reduce. Most organizations end up running a separate scanner for code, dependencies, secrets, pipelines, and infrastructure, each with its own dashboard, its own alerts, and no shared sense of what actually matters.

Xygeni's answer was to build one platform instead of one more tool: native scanners across the full SDLC, unified by an ASPM layer that also ingests findings from the third-party tools teams already run, so adopting Xygeni never means ripping anything out. AI sits at the center of that thesis, not as an add-on, but as the layer that turns raw findings into prioritized, explained, and often auto-remediated fixes.

The company is privately held, has raised $4.4M in a seed round, and has grown to 11-50 people. It's currently transitioning from a founder-led company to a professionally managed one, with a new CEO (previously the company's Product lead) stepping in.