Cygova turns controls, evidence and live system signals into continuous assurance — deterministic where rules are explicit, AI-assisted where context and judgement matter.
The verification engine
Cygova connects requirements, controls, evidence and system signals to a living test layer. Every result is designed to remain explainable, reviewable and linked to proof.
When a requirement can be expressed as a rule, Cygova checks it exactly — with explicit inputs, repeatable logic and a machine-verifiable result.
When evidence requires context, Cygova adds an AI review layer — interpreting documents and relationships while keeping the finding grounded in source material.
Deterministic results and AI-assisted findings converge in the same evidence chain, ready for ownership, review and audit.
Operational clarity
Distinguish continuously tested controls from manual checks, missing evidence and areas still awaiting test logic.
Keep the source, time, owner, test version and review decision attached to every verification result.
Move gaps into accountable remediation work, then verify the control again when the underlying state changes.
Operational integrations
Cygova can connect verification logic with operational data, so controls are supported by current signals instead of periodic declarations.
Use alerts, configuration signals and detection status as test inputs and audit evidence.
Bind controls to the inventory, ownership, lifecycle and technical state of assets.
Turn incidents, requests and remediation work into a traceable path from finding to closure.
Continuous assurance loop
Cygova is designed to move GRC from periodic collection toward a repeatable operating rhythm.
Frameworks and requirements become a clear, connected control model.
Each control receives test logic, evidence rules and accountable ownership.
Exact checks and contextual AI-assisted reviews run against current inputs.
Findings remain linked to evidence, decisions and a traceable history.
Deployment choice
Choose the delivery model that matches your data-residency, network-isolation and operating requirements.
A cloud-native service built for Oracle Cloud Infrastructure, designed for rapid start, managed operation and continuous evolution.
A sovereign model for organisations with elevated privacy, confidentiality or infrastructure-control requirements.
Enterprise foundation
Cygova is engineered on Oracle AI Database 26ai to bring controls, evidence, relationships and AI-assisted analysis into one durable data foundation.
The engineering team includes specialists certified at OCI Developer Professional level.
Under construction
Cygova is taking shape for organisations that need more than a register of obligations — they need an assurance layer that keeps testing.