OX rewires your security program for the Mythos Age: the era where AI writes the code, chains the exploits, and moves faster than human-built defenses can track.
OX is an AI Native Application Protection Platform (AINAPP) unifying security from Prompt to Runtime. It moves your control surface upstream to the prompt, preventing and governing risk at the source instead of chasing it downstream in runtime.
OX Mind and OX AI Context Lake connect AI-user governance, code security, cloud and runtime enforcement, and agentic pentesting into one system that shares context across the entire Agentic Development Lifecycle (ADLC), replacing fragmented point tools with a single platform.
The platform runs on four connected pillars:
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OX VibeSec: Prevents unsafe AI decisions at the point of creation and governs every AI user in the organization, not just developers using coding assistants. Full visibility into which agents, MCPs, skills, and packages run, with what permissions, against what data.
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OX Code: Separates exploitable risk from theoretical noise using evidence from your actual deployment, threat model, and threat intelligence.
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OX Cloud: Prevents misconfigurations and enforces runtime boundaries that code and agents cannot cross, watching what actually runs in production.
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OX Agentic Pentester: Continuously simulates adversarial agent behavior to prove exploit paths back to their exact source, feeding what it finds back into OX VibeSec to sharpen governance.
OX connects to your existing stack and traces every finding back to its origin (the prompt, the AI user, or the endpoint that created it), then fixes issues at the source rather than flagging them after the fact.
For new deployments, OX consolidates governance, code security, cloud enforcement, and pentesting into one platform. For existing stacks, OX layers governance on top and makes current tools smarter through continuous learning, so the same issue never gets created twice.
Visit https://ox.security for more information.
Xygeni All-In-One AppSec Platform ensures comprehensive security across the software supply chain, using deep contextual intelligence to prioritize exploitable and business-critical vulnerabilities.
With its AI-powered capabilities, Xygeni offers automatic detection and quarantine of malicious packages as soon as they're published, alongside context-aware auto-remediation. It integrates seamlessly across source code, dependencies, secrets, IaC, builds, containers, and CI/CD systems. Xygeni Shield extends that protection to the developer's own machine, blocking unauthorized package downloads at the OS level before they ever reach disk. Unified ASPM visibility and supply-chain malware protection enable accelerated, secure delivery without compromising speed or innovation.
What are the most important features of Xygeni?
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Deep Contextual Intelligence: Prioritizes vulnerabilities based on exploitability and business impact.
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Early Malware Detection: Continuously scans public registries and quarantines malicious packages at the moment they're published, before they reach a developer's machine.
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Endpoint Enforcement (Shield): Blocks unauthorized or policy-violating package downloads directly on the developer's machine, with every block attributed to the exact process that requested it.
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Seamless Integration: Works across code, dependencies, secrets, IaC, containers, and CI/CD systems.
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AI-Powered Auto-Remediation: Generates context-aware fixes for vulnerabilities in code and infrastructure-as-code.
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Code Quality, Unified: Measures maintainability, complexity, and duplication across ten languages and opens pull requests with ready-to-apply fixes, in the same platform and prioritization model as security findings.
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Developer-First Remediation: Supports developers with IDE and AI co-pilot integrations to speed up fixes.
What benefits or ROI should users expect in reviews?
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Enhanced Security: Comprehensive coverage from code to cloud, and now to the developer endpoint, reduces vulnerability risk.
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Increased Efficiency: Automation and seamless integration streamline security processes.
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Accelerated Delivery: Enables fast-paced development without compromising safety.
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Developer Productivity: AI co-pilots assist developers, improving the remediation process.
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Cost Savings: Efficient threat prioritization minimizes time spent on non-essential alerts.
Industries like finance, healthcare, and technology implement Xygeni to fortify their software supply chain, ensuring robust protection and compliance. By combining AI-driven prioritization with broad integration coverage, from the registry to the endpoint to code quality, these sectors maintain development speed while strengthening their security posture against supply chain threats.
