Aurva

️ Tool Name: 🖼
AIOStack by Aurva

Categories: 🔖
Automation and Smart Agents
Governance, Compliance, and Policies
Data and Analytics
Data Preparation and Cleaning
Knowledge Base and Self-Service
DevOps, CI/CD, and Monitoring
Data Warehouses and Modeling

️ What does this tool offer? ✏
AIOStack is an AI-powered security platform developed by Aurva, designed to secure AI systems within organizations, including AI agents, models, services, and unknown systems within the organization—also known as “Shadow AI.”

The platform analyzes the system kernel and cloud environment to create a comprehensive map of applications, identities, endpoints, and data sources, while monitoring the actual behavior of each component without requiring code modifications or the addition of components within applications.

AIOStack relies on technologies such as:

• eBPF for monitoring network paths and system calls.
• Cloud APIs such as IAM, CloudTrail, Bedrock, and Metadata APIs.
• Identity Graph to link identities to resources.
• AI Analyzer to analyze behavior, establish baselines, and generate intelligent alerts.

The platform secures:

• AI agents.
• Models used within the organization.
• Data flows.
• Identities and permissions.
• Endpoints.
• Text prompts.

AIOStack is deployed within the organization’s environment using self-hosted, SaaS, or within a VPC, in read-only mode, so that data never leaves the environment and applications do not need to be aware of the system’s existence.

The platform relies on four main layers for monitoring and analysis:

• Applications and models.
• Identities.
• Endpoints.
• Data sources.

AIOStack also provides six key operational outputs:

• Inventory: Displays all models, agents, endpoints, and identities.
• Trace: Links a user or agent to an instance, endpoint, and data.
• Drift: Detects unusual changes, such as the use of new resources or new models.
• Blast Radius: Calculates the potential scope of impact in the event of a breach of an agent or identity.
• Right-size: Reduce permissions based on actual usage over the last 90 days.
• Audit: Log actions such as calls, queries, and data movement.

What does it actually offer based on user experience? ⭐

• Detect unknown AI systems within the organization.
• Create a comprehensive inventory of applications, models, and agents.
• Monitor model calls and analyze usage.
• Analyze prompts, completions, tokens, and latency.
• Monitor identities, users, agents, and Kubernetes service accounts.
• Analyze access permissions and compare them to actual usage.
• Detect unusual changes in permissions.
• Monitor endpoints accessed by AI.
• Tracking sources of sensitive data.
• Map data flows from the agent to the query and the data transferred.
• Detect data leakage risks.
• Provide compliance and security workflow reports.
• Support security teams and platforms in monitoring production AI environments.

Does it include automation? 🤖
Yes, AIOStack relies on AI-powered security automation.

Automation includes:

• Automatic detection of models and agents.
• Analysis of operational behavior without manual intervention.
• Establishing baselines for normal behavior.
• Drift detection.
• Analysis of relationships between identities and resources.
• Generate evidence-based alerts.
• Prioritize risks.

Pricing Model: 💰
Enterprise Pricing / For Businesses

Aurva uses an enterprise pricing model and does not list fixed subscription prices or paid plans on its official website.

Pricing details are available by:

• Requesting a demo.
• Contacting the sales team.
• Requesting a customized quote based on your organization’s needs.

🆓 Free Plan Details:

Paid plan details: 💳

How to access the tool: 🧭

Demo link or official website: 🔗
https://aurva.io/customers