AI Security Asset Management
AI Security Asset Management continuously inventories every knowledge base, vector store, model, MCP, and agent pipeline in your tech stack so security teams can see their entire AI supply chain. It audits each component for bias, compliance, and exposure risks before attackers can weaponize them, keeping your stack secure, bias-free, and regulation-ready.
Knowledge Base & Data Store Scanning
Automatically inspects RAG corpora, knowledge bases, and vector stores for adversarial content, retrieval data poisoning, and sensitive data such as PII or secrets so poisoned content never slips into production.
Model Risk Indexing
Builds a living risk index for every model (open or proprietary) that captures bias, toxicity, and known prompt exploits and jailbreak incidents so teams know which deployments demand extra controls.
Pipeline & MCP Auditing
Maps every prompt surface inside agents, plugins, and MCP servers to highlight permission gaps and over-privileged workflows—flagging lethal trifecta combinations like untrusted prompts plus unrestricted file and internet access.
Vulnerability Detection
Actively probes each asset for prompt injection weaknesses, bias, data poisoning, and supply-chain abuse, attaching risk ratings and remediation guidance directly to the affected component.
