Confident Security

Confident Security is a platform focused on securing AI systems and the data they interact with. It is designed to help organizations govern, monitor, and protect their AI deployments, including large language models (LLMs) and agentic AI workflows. Key areas of focus include: - LLM Guardrails: Enforcing policies and controls on inputs and outputs of language models to prevent misuse, data leakage, and unsafe responses. - AI Gateway functionality: Acting as an intermediary layer between users/applications and AI models to apply security controls. - Prompt injection protection: Detecting and blocking malicious prompt injection attempts targeting LLMs. - AI Data Loss Prevention: Preventing sensitive or confidential data from being exposed through AI interactions. - Shadow AI Discovery: Identifying unauthorized or unmanaged AI usage within an organization. - AI Governance and Compliance: Providing visibility and policy enforcement to help organizations meet compliance requirements around AI usage. - Monitoring and Observability: Logging and tracking AI interactions for auditing, investigation, and anomaly detection. The platform targets enterprises looking to operationalize safe and compliant AI adoption, giving security teams control over how AI tools are used across the organization.