Full-lifecycle LLM security platform offering automated red teaming for text, vision and audio models, runtime guardrails, and compliance reports mapped to NIST AI 600, OWASP LLM Top 10 and MITRE ATLAS, plus a public LLM safety leaderboard.
Key Features
- Automated red teaming
- Real-time runtime security guardrails
- Supports text, vision, and audio models
- Reports mapped to international compliance standards
- A public LLM safety leaderboard
Pros
- Covers the entire model lifecycle
- Supports multimodal security testing
- Automatically produces compliance audit reports
Cons
- Requires some security background
- Higher enterprise adoption cost
Use Cases
- Security red-team testing of enterprise AI systems
- Ensuring LLM output complies with regulations
- Assessing the security of different large language models
Editor's Note
An all-around security solution built for enterprise-grade AI that effectively reduces the security risks of deploying LLMs.
FAQ
What types of models does Enkrypt AI support?
The platform supports security testing and protection for multimodal large language models across text, vision, and audio.
Which compliance standards can it help map to?
The platform can automatically produce compliance reports mapped to standards such as NIST AI 600, OWASP LLM Top 10, and MITRE ATLAS.
What is the platform's red-teaming feature?
It uses automated testing to simulate malicious attacks, helping enterprises find potential security vulnerabilities before a model goes live.