Supervity's Agent Security framework safeguards Agentic AI with a multi-layered defense, mitigating risks like code failures, hallucinations, and security vulnerabilities. Our approach ensures reliable execution, consistent outputs, and trustworthy AI performance in business-critical applications.
Agentic AI faces security risks beyond traditional defenses. Supervity secures against four key vulnerabilities with specialized protections:
Generated scripts may not execute correctly, leading to incomplete tasks or system errors
AI may produce inaccurate or fabricated responses not grounded in reality
Generated code may contain inherent security flaws or exploitable weaknesses
Output may vary in quality and adherence to established coding practices
These challenges can stall AI adoption and erode trust. Supervity’s security framework mitigates risks, ensuring safe and reliable AI deployment.
Supervity's security framework implements multiple layers of protection throughout the AI agent lifecycle:
Supervity implements a sophisticated technical architecture to ensure agent security
Our system implements Retrieval-Augmented Generation (RAG) that grounds all AI outputs in verified organizational knowledge, ensuring responses are factual and accurate rather than fabricated.
Supervity's feedback loop system automatically detects execution errors, captures the specific failure point, and regenerates corrected code to ensure successful task completion without human intervention.
We implement encrypted communications, least-privilege access controls, and comprehensive authentication systems to ensure secure integration with your business-critical applications.
Yes. Our security architecture continuously evolves through regular updates and machine learning-based threat detection to protect against emerging attack vectors specific to AI systems.
Our platform allows for custom security policy implementation, enabling your security teams to enforce organization-specific controls, restrictions, and compliance requirements across all AI operations.