Grafyn provides an AI Security Fabric that continuously discovers, monitors, and protects AI models, data pipelines, and autonomous agents across multi‑cloud environments. The platform offers real‑time observability, advanced threat detection for issues like data poisoning and prompt injection, and automated remediation with adaptive guardrails and governance dashboards for enterprise AI deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises increasingly rely on AI models, data pipelines, and autonomous agents, but lack visibility and control over these assets. This creates blind spots such as shadow AI, data poisoning, prompt injection, and rapid blast‑radius propagation of compromises across connected systems.
Solution
Grafyn delivers an AI Security Fabric that continuously discovers, monitors, and protects AI assets across multi‑cloud environments. The platform automatically inventories models, pipelines, APIs, and data flows, providing real‑time observability of model behavior, performance, and usage. It detects advanced AI threats—including data leakage, adversarial inputs, and prompt injection—and supplies contextual incident investigation with full input/output lineage. Automated remediation isolates compromised components, while adaptive guardrails and policy enforcement enforce governance and compliance. Integrated red‑team and adversarial testing let organizations proactively identify vulnerabilities before attackers can exploit them.
Target Audience
Primary customers are large enterprises and AI‑driven product teams that deploy machine‑learning models, LLMs, RAG pipelines, and autonomous agents across multi‑cloud infrastructures.
Features
- Automated discovery and cataloging of models, agents, data assets, and pipelines across platforms such as Databricks, Snowflake, and Google Vertex AI
- Continuous behavior monitoring with drift detection, bias alerts, and anomaly spotting across environments and user segments
- Real‑time threat detection for data poisoning, prompt injection, model inversion, and sensitive data leakage, including full input/output traceability
- Adaptive security policies and customizable guardrails that evolve based on model behavior and emerging risk signals
- Automated remediation workflows that isolate compromised components and enforce policy updates without manual intervention
- Integrated red‑team and adversarial testing suite for simulated attacks, vulnerability reporting, and remediation guidance
- Centralized governance dashboard for ownership tracking, access control, compliance auditing, and regulatory reporting