# Build Secure AI Applications Promptfoo

## About

The AI Security Platform that catches vulnerabilities in development. Trusted by 127 of the Fortune 500 and 300,000+ developers worldwide.

- Verified: Yes

## Services

### AI Development and Optimization
- [AI Development & Optimization](https://bilarna.com/ai/ai-development-and-optimization/ai-development-and-optimization-solutions)

### AI Security and Risk Management
- [AI Security & Risk Management](https://bilarna.com/ai/ai-security-and-risk-management/ai-security-and-risk-management-services)

## Trust & Credentials

### Certifications
- ISO 27001 Certified (ISO)
- SOC2 Certified (SOC2)
### Compliance
- SOC2, ISO
### Data Security
- SOC2 Certified, ISO 27001 Certified

## Notable Customers

- undefined
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## Frequently Asked Questions

**Q: How can I integrate AI security testing into my development workflow?**
A: Integrate AI security testing by following these steps: 1. Connect your AI applications, agents, and workflows to the security platform using supported integrations such as CI/CD pipelines, GitHub, GitLab, Jenkins, or MCP and Agent frameworks. 2. Automate testing by creating thousands of context-aware attacks tailored to your application, leveraging real-time threat intelligence from a large user community. 3. Receive remediation guidance directly in pull requests and developer workflows, including actionable steps and continuous monitoring to track fixes across teams.

**Q: What types of AI application vulnerabilities can automated red teaming detect?**
A: Automated red teaming detects various AI application vulnerabilities by simulating real user attacks. Follow these steps: 1. Generate custom attacks targeting your application, including direct and indirect prompt injections. 2. Identify jailbreak attempts tailored to your guardrails to bypass security controls. 3. Detect data and personally identifiable information (PII) leaks. 4. Find business rule violations and insecure tool usage within agents. 5. Uncover toxic content generation and other security risks. This comprehensive approach covers over 50 vulnerability types to secure AI applications effectively.

**Q: What benefits does real-time threat intelligence provide for AI security?**
A: Real-time threat intelligence enhances AI security by delivering early warnings and continuous updates on emerging risks. To leverage it: 1. Access a global community of over 300,000 users contributing threat data and new attack vectors. 2. Receive automated deployment of new attack techniques to keep security testing current. 3. Use insights to customize attack flows and remediation strategies tailored to your business logic. 4. Monitor security findings continuously to track and fix vulnerabilities promptly. This proactive approach helps maintain robust AI application defenses at scale.

## Links

- Profile: https://bilarna.com/provider/promptfoo
- Structured data: https://bilarna.com/provider/promptfoo/agent.json
- API schema: https://bilarna.com/provider/promptfoo/openapi.yaml