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.

OpenBuckets offers an innovative online platform that helps users effortlessly find open buckets in their cloud storage through an easy-to-use search tool. Utilizing AI-powered algorithms, it swiftly identifies misconfigured or publicly accessible storage buckets that could potentially expose sensitive data. This makes OpenBuckets an essential tool for organizations aiming to bolster their cloud security defenses, safeguard data, and comply with various regulatory standards.

LeakSignal is an advanced solution that provides real-time governance and protection for your data, whether it is at rest or in transit. Utilizing AI technology, LeakSignal offers comprehensive data flow classification, policy enforcement, and monitoring capabilities. It helps in inspecting, classifying, and securing sensitive data within your networks, cloud environments, and endpoints. By integrating easily with existing infrastructure, it ensures compliance and security without compromising on data accessibility. Its robust dashboard and alert system provide detailed insights and real-time response to potential data leakage or exploits.

OpenDerisk provides a modular, extensible platform to evaluate and mitigate risks in AI systems. It includes fairness evaluation metrics, privacy leakage detection, adversarial robustness tests, bias monitoring, and output quality checks. Users can configure pre-built probes or develop custom modules to target specific risk domains. Results are aggregated into interactive reports that highlight vulnerabilities and suggest remediation steps. OpenDerisk runs as a CLI and Python SDK, allowing seamless integration into development workflows, continuous integration pipelines, and automated quality gates to ensure safe, reliable AI deployments.