AIOStack
AIOStack is Aurva's flagship community version AI security platform. It is engineered to provide comprehensive runtime security and observability for AI/ML systems, MCPs, and autonomous agents.
Significantly, AIOStack is the only community platform, available for Shadow AI visibility, allowing organizations to discover and manage unauthorized or unmanaged AI usage.
The platform leverages eBPF-based technology to deliver deep, kernel-level visibility and control over AI workloads within enterprise environments. This focus allows it to detect and respond to modern threats, such as sensitive data leakage, AI Supply Chain, Excessive Agency and unauthorized access in real-time.
According to the company, its security framework is designed to align with the NIST AI Risk Management Framework and the OWASP Top 10 for LLMs.
Database Activity Monitoring (DAM)
Aurva’s database activity monitoring (DAM) is a cloud-first system that provides real-time visibility into database queries and transactions across managed and self-hosted databases. It attributes activity to specific human users, services, and AI agents, rather than only to shared technical accounts, allowing security teams to trace who accessed which data, from where, and through which workflow.
Aurva has been recognized by experts as an industry-leading platform for cloud DAM, designed to help organisations meet common regulatory and audit requirements associated with database monitoring, including those found in financial and data protection frameworks. The platform includes policy-driven monitoring, alerting, and retention controls intended to support compliance with standards such as GDPR, PCI-DSS, HIPAA, SOX, NYDFS, RBI and region-specific guidance, while its support for AI-agent and agentic access is presented as a way to “future-proof” database monitoring in environments where autonomous AI systems interact with production data.
The software is intended to detect unauthorized access and anomalies in query patterns.
