Embrsystems offers runtime security for live AI systems, delivering continuous monitoring, active protection, and validation of inputs, behavior, and outputs. Their platform secures deployed agents, workflows, and autonomous applications, enabling teams to operate AI with confidence. It integrates real‑time assurance tools that detect and mitigate threats as AI models run in production.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI agents, autonomous workflows, and other live AI systems face a lack of visibility into runtime behavior, making it difficult to detect malicious inputs, model drift, or unauthorized actions that can compromise security and reliability.
Solution
Embrsystems provides a runtime security platform that continuously monitors deployed AI components, validates inputs, observes execution behavior, and verifies outputs. The system detects anomalies and potential threats in real time and can automatically trigger protective actions to prevent compromised operations. By delivering ongoing assurance across the AI lifecycle, the platform enables teams to maintain confidence in the safety and integrity of their live AI deployments without requiring extensive manual oversight.
Target Audience
Primary customers are enterprises and development teams that operate production AI models, autonomous agents, or automated decision‑making workflows and need runtime security and compliance assurance.
Features
- Continuous monitoring of AI inputs, runtime execution, and output data for security anomalies
- Automated threat detection with real‑time alerts and response actions to mitigate risks
- Validation engine that checks model behavior against predefined policies and expected performance
- Centralized dashboard for visibility into the security posture of all deployed AI agents and workflows
- Integration hooks for common AI deployment environments to embed protection without code changes