Stryda
Tests LLMs and conversational AI against OWASP, MITRE ATLAS and NIST AI RMF attack vectors to find vulnerabilities and prompt injection failures before production
The product is an adversarial evaluation platform and security review service that tests large language models and conversational AI against attack vectors mapped to OWASP, MITRE ATLAS, and NIST AI RMF to find vulnerabilities, data exposure, and prompt injection failures before production. It sells to developers, IT and security teams in businesses that build or deploy AI systems. It is delivered as a self-service SaaS for running curated datasets against customer endpoints with private browser execution and framework-tagged coverage, plus researcher-led scoped assessments with reporting and remediation guidance.
Key features
- LLM security review
- Adversarial robustness testing
- Prompt injection assessment
- Conversational AI hardening
- Curated adversarial datasets
- Framework-tagged prompt coverage
- Private browser runner
- Aggregate summary retention
- Public benchmark by attack vector
- API access and run history
- No social media activity within the last 30 days
- API
- Docs
- Security teams
- Engineering teams
- Software developers