Unizo

Vega is an AI-native, federated security analytics platform built to give security operations teams unified visibility, detection, investigation, and response across all of their security data without requiring costly data migration or centralized ingestion. Its Security Analytics Mesh (SAM) lets analysts instantly access and query data wherever it lives, including SIEMs, data lakes, cloud services, and cold storage, using natural language or query languages, eliminating blind spots and reducing cost and maintenance overhead while expanding coverage. It delivers AI-powered detections, automated triage, and cross-environment alert correlation, translating and normalizing data from disparate sources so teams can build, deploy, and refine detection rules once and run them everywhere. Vega also continuously tunes alerts to reduce noise, uncovers hidden security gaps, and integrates with existing security stacks through pre-built connectors.

GPT-5.5-Cyber is an advanced cybersecurity-focused AI model designed for verified defenders working on authorized security research, vulnerability discovery, and remediation. The model pairs stronger cyber capabilities with more permissive behavior for specialized workflows that require deep analysis across complex software environments. It can help identify security-relevant components, trace vulnerable code paths, validate likely issues in controlled settings, develop and test patches, and prepare evidence for human review. GPT-5.5-Cyber is built to support the full remediation loop rather than simply generating more findings. The model shows stronger benchmark performance than GPT-5.5 on CyberGym, ExploitGym, and SEC-bench Pro, reflecting improvements in vulnerability reproduction, exploit reasoning, and long-horizon security tasks. GPT-5.5-Cyber is intended for advanced, authorized cybersecurity work with verification, monitoring, scoped controls, and review.