Metatext provides automated testing and real-time guardrails to identify and mitigate vulnerabilities in generative AI applications, protecting enterprises from potential attacks that can harm brand reputation and incur financial losses. The platform enables customizable security measures to ensure compliance and prevent misuse, while continuously monitoring AI systems for anomalies.
Funding
Funding not disclosed
Founders
Product
Problem
Generative AI applications are vulnerable to various attacks and misuse, potentially harming brand reputation and causing financial losses for enterprises. Existing security measures may not be sufficient to identify and mitigate these evolving vulnerabilities in real-time.
Solution
Metatext offers a platform that automates the testing and provides real-time guardrails for generative AI applications, enabling enterprises to proactively identify and mitigate vulnerabilities. The platform performs simulated attacks to uncover risks and provides recommendations for mitigation. Customizable security guardrails allow businesses to implement guidelines, prevent misuse, and ensure regulatory compliance. Continuous monitoring and auditing of AI systems help detect anomalies and improve the accuracy of the guardrails through feedback on false positives and negatives.
Target Audience
Metatext targets enterprises adopting generative AI applications who need to protect their brand reputation, ensure regulatory compliance, and mitigate financial risks associated with AI vulnerabilities.
Features
- Automated red team risk assessment to identify vulnerabilities through simulated attacks.
- Customizable security guardrails to enforce business guidelines and prevent misuse.
- Real-time monitoring and auditing to detect anomalies and ensure compliance.
- Feedback mechanism for refining guardrail accuracy based on observed false positives and negatives.