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.
Parasoft SOAtest is a robust tool for automating test scenarios, supporting a range of interfaces and protocols, making it ideal for comprehensive service testing. Its adaptability in complex environments provides extensive testing capabilities for UI and API automation.
Parasoft SOAtest offers a comprehensive suite of features designed for the efficient setup of functional tests, emphasizing ease in data-driven scenarios and thorough automation. Supporting key protocols like SOAP and REST, alongside UI recording, it integrates seamlessly with Jenkins and GitHub, adding service virtualization for enhanced end-to-end testing. Users benefit from its extensibility through custom scripts, allowing broad API and web service testing. However, there are challenges in user-friendliness, with the graphical interface requiring improvements. Reporting features need enhanced clarity and customization options. Limited cryptography support and documentation necessitate improvement. Performance issues and high pricing are noted drawbacks, but its use in banking and quality enhancement demonstrates significant potential.
What are the key features of Parasoft SOAtest?
- Rapid functional test setup: Streamlines the creation of test scenarios efficiently.
- Data-driven testing: Enables easy configuration with different datasets.
- Extensive automation: Facilitates comprehensive testing for APIs and UIs.
- Protocol support: Integrates SOAP, REST, JSON, SAP RFC functionalities.
- Service virtualization: Enhances testing across complex system architectures.
What benefits and ROI should users expect?
- Improved testing efficiency: Reduces manual testing efforts significantly.
- Enhanced quality assurance: Elevates application reliability and performance.
- Integration capabilities: Coordinates well with Jenkins and GitHub for streamlined processes.
- Comprehensive testing: Provides thorough coverage for APIs and web services.
Implementing Parasoft SOAtest in industries like banking allows automation of regression tests for web services in SOA architectures, supporting protocols such as ISO 8583. Companies use it to transition from manual testing to automation, integrating JSON and XML, facilitating improved application quality.
