About OX Security
OX Security states a mission to create a world where software secures itself. OX says AI now writes most of the code, pulls its own dependencies and spins up its own cloud. OX describes an attack as a chain that runs from prompt to MCP server to agent to committed code to cloud and data. OX says security has to cover the whole chain, from the first prompt to production runtime.[2][3]
OX prevents insecure code and destructive scenarios in AI coding tools with VibeSec. OX predicts risk through organization-specific context at every stage of the SDLC and remediates with AI. OX describes its platform as a unified, code first security platform that embeds detection and response across the SDLC. OX prioritizes risks that are exploitable, reachable and impactful. OX actively identifies exploitable vulnerabilities tied to specific code and API exposures.[3][4]
OX pinpoints, investigates and eliminates code-level issues across the entire SDLC. For code that has already been written, OX Code applies a contextual SAST that prioritizes findings based on exploitability. OX supports over 100 languages and frameworks, with direct integration into developer workflows via Git-based scanning and CI/CD hooks. OX correlates static findings with runtime, environmental and business context to prioritize reachable and exploitable vulnerabilities. Code Projection is the OX capability for tracing vulnerabilities from runtime observations back to their originating source code, repository and commit. OX continuously monitors every open-source dependency and third-party component across codebase, pipelines and runtime. OX maps each open-source and third-party dependency to known CVEs and license obligations and prioritizes vulnerable components by reachability and exploitability. OX generates and maintains an SBOM in SPDX and CycloneDX formats, extended by the PBOM, to track component provenance and integrity across the CI/CD lifecycle. OX blocks malicious, hallucinated, license-violating or previously denied packages from entering a codebase or pipeline.[4][5][6][8][9]
OX records the full software delivery chain for every build, capturing runner identity, build arguments, artifact signatures, environment variables and deployment targets. OX scans pipeline configurations for insecure practices including unpinned third-party actions, secrets in logs, excessive permissions and deprecated commands. OX assesses repository and organization configurations for access control gaps, branch protection weaknesses, missing code review enforcement and authentication risks. OX identifies and remediates insecure pipeline configurations, compromised runners, tampered build scripts and unauthorized artifact promotion. OX scans Terraform, Kubernetes, Helm, Dockerfile and Azure ARM and consolidates findings in one view. OX detects overly permissive IAM roles, exposed storage, weak network policies and unencrypted resources before they reach production. OX scans source code, Git history, container images and cloud assets for API keys, passwords, tokens and personally identifiable information. OX extends secrets and PII detection into AI coding environments.[7][8][9][10]
OX inventories every model, MCP server, IDE extension, agent skill and hook in an AI dev stack with continuous risk monitoring. OX enforces policy directly against AI BOM components in real time, blocking unapproved or risky elements before the codebase is impacted. OX scans, flags and quarantines risky AI agent skills before they can propagate malicious or problematic instructions across development workflows. OX VibeSec operates as a security layer above individual IDEs and gives AppSec teams centralized control, cross-SDLC context and consistent policy enforcement. OX is built to integrate with an existing pipeline, embedding into IDEs and AI coding assistants and connecting to CI/CD systems. OX developer tool controls provide a single control plane for enforcing AI coding guardrails across multiple tools and environments.[1][2][3][4][5][9][10][11][12]
OX Security on the record