HiddenLayer – Technical Use Cases

Shift-Left Model Security: Integrate model scanning into CI/CD pipelines to detect malicious payloads, backdoors, or vulnerabilities in ML models before deployment.
AI Supply Chain Risk Management: Assess third-party and open-source models for embedded threats prior to ingestion into production MLOps pipelines.
Runtime Threat Detection: Deploy AI Runtime Security to monitor inference endpoints in real time, detecting adversarial inputs, model extraction attempts, and anomalous query patterns.
Red Teaming & Attack Simulation: Use automated adversarial attack simulation to stress-test models against known AI attack vectors before and after deployment.
Agentic AI & MCP Security: Apply protection controls to autonomous AI agents and MCP-based tool integrations to enforce boundaries and prevent prompt injection or tool misuse.
SIEM/SOAR Integration: Forward AI security events into existing SIEM platforms and automate response playbooks via SOAR for unified security operations coverage.
AI Asset Discovery: Continuously discover and inventory AI/ML models deployed across AWS, Databricks, and other environments to maintain full visibility.