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Data + Identity Security

Data Security Posture Management

Database Activity Monitoring

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Data Flow Monitoring

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AI Security Goes Beyond the Model. Secure the Entire Stack.

What’s changing and why it matters

Most existing security tools were designed for web apps, not AI systems.

They track login events.

They log API calls.

But they don’t tell you:

What your LLM just accessed
Where your data is flowing across agents
Whether someone just injected a malicious prompt
Or if your model is being fine-tuned on sensitive data

AI introduces new risks: shadow access, data leakage, poisoning attacks, adversarial attacks, and compliance blind spots. These are runtime problems. And they need runtime answers.

What Aurva AI Security delivers

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End-to-end visibility across your AI stack

We monitor everything that matters:

Model activity across GPT, Llama, and custom fine-tunes
Frameworks like LangChain, RAG pipelines, and orchestration layers
Data flows into vector stores, embeddings, and third-party APIs

You see what’s happening, who accessed what, where the data is going, and what’s triggering your models.

AI-specific threat detection

Traditional alerts miss the nuance of AI behavior. We don’t.

Aurva detects:

Prompt injections and unsafe output behavior
Shadow access from internal agents or services
Fine-tuning on untrusted or sensitive data
Unusual access patterns across cloud and on-prem

You get alerts that are tied to actual AI behavior, not just logs.

AI-aware DAM (Database Activity Monitoring)

Our platform traces how your models interact with sensitive data:

Full audit trails of model-driven queries
Detection of abnormal joins or payloads
Monitoring of how embeddings are stored, queried, and used

This helps prevent model leaks, data misuse, and compliance violations—before they happen.

Compliance without the manual overhead

As regulations evolve, questions around AI data usage are going to be front and center.

Aurva helps you:

Understand which data is accessed by which model
Prove that personal data isn't used beyond intended purposes
Automatically document data flows for assessments like DPIA and ROPA

In other words, you stay compliant—without slowing down your teams.

For teams building with AI in production

Aurva AI Security is already helping teams:

Secure GenAI-powered user experiences
Trace sensitive data usage in LLMs and agents
Monitor internal model deployments across cloud and hybrid environments

Whether you're an ML engineer deploying fast, or a security team trying to keep up; we built this to fit into your workflows, not slow them down.

Let’s simplify AI security

AI is no longer experimental. It’s powering production systems across industries.

But as the systems get smarter, the security needs to keep up.

Aurva AI Security gives you the visibility and control you’ve been missing without needing to rebuild your pipeline or bolt on extra tools.

We’re excited to partner with teams solving real problems with AI and now doing it more securely.