# Tracecat The open source AI automation platform for enterprise

## About

Tracecat is the open source AI automation platform for enterprise workflows, agents, and tickets. Turn simple prompts into secure, scalable agents and workflows with 100+ integrations.

- Verified: Yes

## Services

### Security & Threat Management
- [Cybersecurity & Incident Response](https://bilarna.com/ai/security-and-threat-management/cybersecurity-and-incident-response)

### Business Process Automation
- [Workflow Automation Platform](https://bilarna.com/ai/business-process-automation/workflow-automation)

## Pricing

- Model: custom

## Trust & Credentials

### Certifications
- SOC2 (SOC2)
### Compliance
- SOC2
### Data Security
- SOC2

## Frequently Asked Questions

**Q: What features should I look for in an AI automation platform for enterprise workflows?**
A: An effective AI automation platform for enterprise workflows should offer secure and scalable automation capabilities, support for creating agents and workflows from simple prompts, and integration with a wide range of third-party tools. Key features include sandboxed execution environments to protect sensitive data, human-in-the-loop agents for manual approvals, and flexible control flows such as loops and conditional logic. Additionally, the platform should provide robust ticketing and incident management capabilities, support for audit logs, and options for self-hosting or cloud deployment. These features help enterprises automate complex processes while maintaining security and compliance.

**Q: How can AI agents improve incident response and security alert management in enterprises?**
A: AI agents can significantly enhance incident response and security alert management by automating the triage, enrichment, and containment recommendation processes. They can pull related alerts from various sources such as SIEM systems and on-call logs, correlate data with authentication and network telemetry, and propose actionable containment and rollback steps. This automation reduces detection delays and human error, enabling faster and more accurate responses to security incidents. Additionally, AI agents can generate timelines, draft reports, and assist with communication, making incident management more efficient and effective while maintaining compliance and security standards.

**Q: What are the benefits of using sandboxed environments in AI automation platforms?**
A: Sandboxed environments in AI automation platforms provide a secure and isolated space where actions and agents can run without risking exposure of sensitive data or system integrity. This isolation helps prevent unauthorized access to secrets and reduces the impact of potential errors or malicious activities. Sandboxing also enables safer testing and development of workflows and agents by containing their effects within a controlled environment. For enterprises, this means enhanced security compliance, reduced risk of data leaks, and greater confidence in deploying automated processes that interact with critical infrastructure and sensitive information.

## Links

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