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AISPM

AI Security Posture Management (AI-SPM)

Accelerate safe AI adoption with real-time visibility and proactive controls across your models, training data, and AI services.

AI runtime inventory of workloads, AI endpoints, identities, and risk signals

Traditional AI-SPM Stops at the Cloud Console

Aurva’s AI-SPM continuously maps your AI surface area, including open-source, in-house, and third-party models, and monitors how they’re used, where they’re accessed, and what data they interact with.

Inventorize Every Model and Tool

Automatically discover all AI models, SDKs, agents, and services, across your repos, APIs, and cloud workloads.

Prevent AI Attack Paths

Trace model access back to identities and tools. Identify overexposed data, insecure storage, or unnecessary sharing.

Model Context Protocol Security

With Aurva’s MCP mapping and access governance, you know how your models behave, and who’s behind it.

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Data Security Across Model Resources

Identify and trace lineage of AI components and data sources used in applications.

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Monitor Vector DB Access and Leakage

Trace which vector lookups contain sensitive embeddings, and which prompts or tools triggered their access.

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Track Shadow AI Agents and LLM Access

Surface unapproved AI apps, agents, and internal tools accessing models through undocumented paths.

Real-time alerts, pattern-based detection, faster investigations

Trusted by security teams all over the world

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Models Secured

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Deployment Efforts

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Detection Time

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Vector DBs Supported

From raw queries to real intelligence

See Aurva in action with your own database environment.

You now know who, and whether it was appropriate.

Authorized ≠ Appropriate. The full chain is connected.

Agent Access Data

Agents access data through chains, apart from queries.

Every chain is attributable.

AI-SPMRuntime Protection
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Sensitive Data Access

Sensitive data moves after every access.

Every Access is traceable.

DAMDSPM
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