Platform
One graph. Every job.
Observe the ICT estate, detect what falls outside policy, and automate the rest. TPRM, AI governance, and DORA sit on the same graph.
Trusted by
How it works
Discover, evaluate, then act.
Ethira lands in the organisation, builds a living knowledge graph of the ICT estate, and turns that graph into ownership, findings, and automations.
- Named owners on the graph
- Data reach, not just a vendor list
- Reports from the live graph
Discover the estate as it is
Code, contracts, browsers, workstations, and OSINT resolve into one graph of vendors, systems, agents, and data flows: kept current without a quarterly rebuild.
Evaluate against live reality
Write what you care about in plain language. Ethira turns it into findings on the graph (owners, reach, and evidence attached) as the estate changes.
Act with the graph in context
Findings, vendor events, and external signals start the next step: diligence, evidence, ownership, and reports. No parallel workflow in a spreadsheet.
Coverage
Everything AI can touch sits on the graph.
Vendors, internal systems, agents, MCP tools, and the data they reach: classified, owned, and ready for evaluation.
Vendors and Nth parties
ICT third parties, subprocessors, and the services they actually run, not a static register.
Shadow AI
Browser, workstation, and code discovery of agents, models, skills, and MCP servers in use.
Data reach
Paths from a vendor or agent into systems, datasets, and fields: blast radius as fact.
Findings that stay current
Free-text rules compiled into checks that re-run as the graph changes.
Event-based automations
Findings, supply-chain events, and webhooks start the next governance step with context.
Reports from the graph
DORA Register of Information, evidence packs, and risk reports assembled from live inventory.
Integrations
Meet the estate where it already lives.
Discovery and automations plug into the tools your teams already use. The inventory updates as a side-effect of work, not homework.
Get started
See how AI and data move.
Connect discovery sources and walk the graph of your vendors, systems, and agents, then decide what to evaluate and automate first.