Supervity's GenSecOps framework integrates security into the AI lifecycle, tackling AI-specific threats like prompt injection and data exposure. Designed for enterprise-grade protection, it ensures every AI-generated output meets the highest security standards.
Supervity's GenSecOps follows a structured four-stage security pipeline specifically tailored for AI-generated code and environments:
Supervity implements industry-leading tools and practices within the GenSecOps framework:
GenSecOps extends traditional security operations with specialized processes for AI-specific threats like prompt injection, hallucination-based data exposure, and AI model manipulation that traditional security frameworks don't address.
Our system identifies various prompt manipulation techniques including context hijacking, instruction override attempts, delimiter injection, and other methods that could lead to unauthorized data access or system control.
Our framework complements your current security tools and processes, adding AI-specific protection while integrating with existing SIEM, vulnerability management, and security monitoring systems.
Security validation occurs continuously throughout the AI lifecycle—from prompt creation and code generation to deployment and runtime execution—ensuring comprehensive protection at every stage
Our security research team continuously monitors emerging threat patterns and vulnerability disclosures in the AI security landscape, updating detection patterns and countermeasures to provide protection against evolving threats.