SecGPT wraps LLM calls with layered security controls and automated testing. Developers define security profiles in YAML, integrate the library into their Python pipelines, and leverage modules for prompt injection detection, data leakage prevention, adversarial threat simulation, and compliance monitoring. SecGPT generates detailed reports on violations, supports alerting via webhooks, and seamlessly integrates with popular tools like LangChain and LlamaIndex to ensure safe and compliant AI deployments.

Swift Security offers a comprehensive AI-driven security solution designed to protect users, applications, and data across various environments. It employs public, private, and custom large language models (LLM) to provide real-time threat detection, incident response, and data compliance features. By integrating with existing systems, Swift enables organizations to streamline their security posture while minimizing vulnerabilities. With user-friendly controls and extensive reporting features, it ensures that organizations stay ahead of emerging threats while maintaining compliance with industry standards.

Amplifier Security leverages artificial intelligence to provide dynamic threat detection, real-time monitoring, and detailed reporting for businesses. Its AI-driven features allow for faster identification of vulnerabilities and automatic responses to potential breaches. This ensures comprehensive security management, enhancing organizational resilience against persistent cyber threats.