Our AI agents and Knowledge Fabric deliver broad coverage of runtime and static detection, triaging and response for cloud by maximally auto-correlating of threats and risk factors with contextual enrichment from native integrations and third-party sources.

Ariksa overcomes limitations of traditional data models that are ill-suited for embedding and rapid retrieval of rich, multi-dimensional information that characterize cloud environments. Our data model is purpose-built and optimized for the rich and multi-layered nature of cloud security threats and risks.

Our Knowledge Fabric makes AI fast and accurate by providing high-quality and deeply connected data for insights, threat analysis, summarization, building plans based on context, and autonomous remediation. Our Knowledge Fabric combines native and third-party data to maximize context and enrichment.

Ariksa’s middleware provides orchestration of multiple native tools to retrieve information, perform analysis and undertake a sequence of multi-step retrievals and actions for triaging, search, policy generation, and actionability, particularly for scenarios where intent is multi-dimensional.

Our agentic AI Assistant provides capabilities for triaging, investigation and remediation that use our Knowledge Fabric. These also include conversational AI search using business semantics, retrieving ad hoc custom insights, and policy generation for proactive enforcement.