Technology & Deployment
Secure IT Collector and Edge AI Architecture
Ixvara reaches the systems still behind the firewall through outbound-only collectors, secure reverse-tunnel connectivity, edge compute, and validated IXBox private infrastructure. Real organizations span SaaS, cloud, data centers, local applications, private networks, and systems that were never designed for modern automation.
Deployment Options: Cloud, Collector, Edge and IXBox
Cloud
Hosted Ixvara services and integrations where cloud connectivity is appropriate. The simplest footprint when the systems involved are reachable and the data is allowed to travel.
Collector
A lightweight local presence used for discovery, collection, local integration, and controlled connectivity to systems that cannot be reached through SaaS APIs. The collector establishes outbound connectivity and can support controlled reverse-tunnel access patterns, so local systems can be reached without exposing traditional inbound management services directly to the internet. It is also how the Ixvara Observation Agent reaches approved on-premises systems during operational discovery engagements.
Edge
Additional local compute for processing, automation, integration, caching, local execution, resilience, and AI inference, when latency, privacy, bandwidth, or economics make local execution useful.
IXBox / Private
Validated larger on-premises deployment for workloads requiring local compute, storage, resilience, recovery, private models, higher AI capacity, customer-controlled infrastructure, or tightly controlled operation where supported. Resilient private deployments are validated clusters, never a single box presented as one.
Edge AI and Local Inference
AI does not always belong on the other side of an internet connection. Local inference can make sense when privacy, latency, bandwidth, resilience, or predictable inference economics outweigh the convenience of a hosted model.
Ixvara can combine hosted closed-weight models and locally-run open-weight models according to policy and workload, with quantization and model right-sizing keeping local inference practical on the hardware available. A local-only policy does not silently fall back to a cloud model.
Running a model locally supports privacy and control objectives; it does not create compliance by itself. Policy, identity, configuration, process, and evidence still apply.
Ixvara Data Engine
Streaming, Hybrid and Edge Data Processing
A modern environment produces continuous streams of operational data: telemetry, events, logs, tickets, identity signals, cloud and API activity, and the output of every integrated system. The Ixvara Data Engine ingests and correlates those streams continuously, so operational context stays current instead of being reassembled after something breaks.
Processing is hybrid: collectors and edge nodes can filter, normalize, summarize, and analyze data close to where it is produced, so high-volume raw data does not have to leave the environment just to be inspected. What moves is what policy allows and what the operation actually needs.
AI runs at the collector side too, where supported: local inference for classification, extraction, and summarization near the source of the data, under the same model and deployment policies described above.
Streaming ingestion
Continuous collection and correlation across the systems in scope, not periodic exports into another silo.
Hybrid processing
Work happens where it makes sense: locally on collectors and edge nodes, or in the cloud, by policy and workload.
AI near the data
Supported local inference lets analysis run beside the data instead of shipping everything to a hosted model.
Secure human approval
Analysis can run automatically; consequential AI-initiated actions pause for an authorized reviewer, with step-up verification including multi-factor confirmation for sensitive approvals.
IXBox
IXBox: Private Cloud and AI Infrastructure
The same controls apply everywhere it runs
Wherever execution happens, the same boundaries apply: identity, tenant scope, role, policy, approval for consequential actions, audit, and outcome verification. Deployment placement changes where work runs, not who is allowed to run it.
Discuss Deployment and Architecture
SaaS, private, legacy, disconnected, or all four. The architecture conversation starts with what exists, not with a reference diagram.