Runtime AI Security

Bringing AI Security to the Model Layer

Aurva brings runtime monitoring and enforcement to the AI stack — so you know which models are accessed, how they're used, and when things go wrong.

Because AI Risks Don’t Wait for Logs

Runtime AI threats require runtime visibility - from LLM misuse to prompt injections to unauthorized access.

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End-to-End LLM Security

Runtime telemetry and threat analysis for LLM behavior : not just inputs and outputs, but also retrieval steps, agent calls, and RAG interactions.

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Track Vector DB Queries

Map which prompts are pulling sensitive data from Mongo, Pinecone , or in-house RAG stores.

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Live Prompt Monitoring

Capture and analyze the prompts sent to your models — including internal apps and users.

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Secure Models Beyond the Cloud Console

Enable automated discovery and telemetry collection for internally built and deployed LLM applications, and map their activity to actual data usage.

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Correlate Identity with Activity

Know which user, script, or service sent a prompt, triggered a model, or accessed embeddings — and why.

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Secure Every LLM — Vendor or In-House

Effortlessly protect your AI applications, whether powered by third-party models or proprietary LLMs, and ensure every deployment is secure, observable, and compliant.

Trusted by security teams all over the world

1000+

AI Applications Secured

50+

ML Libraries Identified

< 5sec

Detection Time

3x

Faster Incident Investigations

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Protect AI That’s Already in Production. See what models are actually doing!

Do you have 30 minutes?

We’ll guide you through how Aurva works and why it helps.

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USA

AURVA INC. 1241 Cortez Drive, Sunnyvale, CA, USA - 94086

India

Aurva Bangalore 2206, 15th B Cross Rd, 22nd B Main Rd, 1st Sector, HSR Layout, Bengaluru, India - 560102

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