Inferise offers a security platform that continuously monitors AI agents, model calls, and data flows in real time, automatically detecting and blocking risky events at machine speed. The system provides granular access controls and a noise‑filtering dashboard to give security teams clear visibility and enforce policies without hindering AI innovation. Deployments can be configured and activated within minutes, integrating with existing AI infrastructure to protect sensitive data throughout the AI lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations adopting AI face increasing risk of sensitive data being exfiltrated or misused by unauthorized agents, shadow AI, or insecure model interactions. Traditional security tools are not designed to monitor the dynamic, data‑centric workflows of modern AI stacks, leaving gaps that can lead to data leakage before it is detected.
Solution
Inferise provides a security platform that continuously analyzes AI‑driven interactions in real time, identifying risky events and automatically blocking them at machine speed. The system surfaces only the most relevant data points, giving security teams clear visibility into how AI agents access and process information. Built‑in access controls and policy enforcement prevent unauthorized use, shadow AI deployments, and misuse of models without slowing innovation. Deployments can be configured and activated within minutes, integrating with existing AI pipelines to protect data throughout the entire lifecycle.
Target Audience
Primary customers are enterprises and development teams that deploy machine‑learning models, generative AI services, or AI‑augmented applications and need to secure sensitive data across their AI workflows.
Features
- Real‑time monitoring of AI agents, model calls, and data flows with automated risk detection
- Immediate alerting and machine‑speed blocking of identified threats to prevent data exfiltration
- Granular access control policies that restrict unauthorized agents and shadow AI usage
- Dashboard that filters noise and highlights critical interactions for security teams
- Rapid configuration and deployment that integrates with existing AI infrastructure
- Policy engine that enforces compliance across the entire AI stack without performance impact