Xygeni provides an AI‑driven Application Security Posture Management platform that integrates into IDEs, CI/CD pipelines, and cloud environments to consolidate static, open‑source, dynamic, and IaC security findings into a unified risk graph. The system prioritizes exploitable issues, offers contextual remediation via a DevAI assistant, and enforces policy compliance with cryptographic attestations. It also monitors developer behavior and supply‑chain threats for real‑time detection.
Funding
Funding not disclosed
Founders
Product
Problem
Modern software development pipelines suffer from fragmented security tooling, excessive false‑positive alerts, and limited visibility across code, dependencies, CI/CD workflows, and cloud infrastructure. This fragmentation slows delivery, inflates remediation effort, and leaves supply‑chain and AI‑generated code vulnerabilities unchecked. Compliance and audit requirements further strain teams lacking a unified risk view.
Solution
Xygeni delivers an AI‑driven, all‑in‑one Application Security Posture Management platform that integrates directly into IDEs, CI/CD pipelines, and cloud environments. Its CoreAI engine correlates findings from static, open‑source, dynamic, and infrastructure‑as‑code scans to produce a single, continuously updated risk graph. Zero‑noise prioritization surfaces only exploitable, high‑impact issues, while the DevAI assistant offers contextual remediation guidance and can auto‑apply fixes safely. Built‑in policy enforcement and cryptographic attestations (SLSA, in‑toto) ensure compliance and audit readiness without manual tracking. The platform also monitors for anomalous developer behavior and real‑time malware in the software supply chain, providing proactive threat detection across the entire SDLC.
Target Audience
Primary users are software developers and DevSecOps engineers seeking integrated security within their development workflow, and security leaders (CISOs) responsible for enterprise‑wide risk management and compliance.
Features
- High‑precision SAST powered by deep learning models that eliminate false positives and deliver in‑IDE fix suggestions.
- Real‑time SCA with malware‑first scanning of open‑source components, including reachability analysis and safe update recommendations.
- Automated DAST and runtime application security testing integrated into each deployment stage.
- Secrets detection with automatic revocation and pre‑commit enforcement to prevent credential leakage.
- CI/CD pipeline security that enforces unified guardrails and blocks high‑risk changes without slowing builds.
- IaC security engine that validates cloud and configuration templates against best‑practice policies.
- ASPM unified control plane delivering a live risk dashboard, asset inventory, and compliance mapping (e.g., NIST, ISO 27001).
- AI‑driven remediation engine that auto‑patches vulnerabilities and updates dependencies based on risk scoring.
- DevAI conversational agent for interactive issue triage, prioritization, and remediation workflow orchestration.
- Anomaly and insider threat detection that flags suspicious developer or pipeline activity in real time.
- Cryptographic build integrity attestations (SLSA, in‑toto) guaranteeing provenance and tamper‑evidence for released artifacts.