Know and protect the data
Record ownership, classification and purpose. Discover sensitive Arabic and English fields, including national IDs, Iqama numbers and mixed-script records, and validate the transformations required for the approved use.
Four connected wings
Aliph AI, Aliph GRC, Aliph Data and Aliph Cyber connect engineering, governance, data and security around your approved environment. Aliph Data provides the shared foundation.

Start with the institutional outcome. AI builds the capability, GRC connects governance to evidence, Data establishes the permitted source foundation, and Cyber engineers protection and response.

Forward-deployed engineers build enterprise AI around your data, approved environment and operating needs, with Arabic engineering, customer production authority and a structured handover.

Implement obligations, policies, risks, controls and assurance on customer-approved infrastructure, with five connected products and one evidence lifecycle from requirements to reporting.

Establish ownership, classification and purpose; engineer Arabic and English privacy controls; and build attributable organisational memory with an approved, reversible learning cycle.

Engineer authority boundaries, egress protection, exchange and action logs, and adversarial tests for AI, with Arcova-supported security operations in the customer’s agreed environment.
Before a model, agent or governance workflow uses a record, the institution needs to know who owns it, how it is classified and what the intended purpose permits. Aliph Data turns those decisions into a working foundation.
Aliph AI draws on approved sources and organisational memory. Aliph GRC uses attribution to connect evidence to decisions. Aliph Cyber uses classification and privacy transformations to control information moving through models and agents.
This work can begin as standalone AI readiness or as the first stage of a connected delivery programme. The environment, data paths and operating responsibilities are agreed with the institution.
Explore the Aliph Data foundation
Record ownership, classification and purpose. Discover sensitive Arabic and English fields, including national IDs, Iqama numbers and mixed-script records, and validate the transformations required for the approved use.
Connect approved documents, decisions and business records to their sources. Preserve permissions, freshness and ownership so institutional knowledge can be maintained and answers can be reviewed.
Keep retrieval and training permissions distinct. Where model improvement is in scope, use a documented cycle of evaluation, approval, release and rollback inside the agreed deployment boundary.
A delivery scope can begin with a source collection, a business workflow or an AI security boundary. Connect the wings needed to make that scope complete and operable.
Begin with Aliph Data when ownership, classification, privacy or permitted use needs to be resolved. Prepare a selected Arabic and English source collection, agree its purpose and establish the controls needed for organisational memory or an AI implementation.
Bring Aliph AI or Aliph GRC into a defined workflow, with Aliph Data and Cyber addressing the dependencies around it. Engineer the application, connected records and controls in the approved environment, then evaluate the result with the people who will own it.
Use Aliph Cyber to examine models, agents, data paths and response responsibilities. Combine scoped Aliph control engineering with Arcova-supported operational delivery where agreed. Define the evidence, tooling, response authority and recovery exercises needed for that environment.
Approved open-weight models can run within customer-controlled infrastructure. Governed external services are used only for approved data and purposes. Any in-Kingdom hosting, isolation, connectivity and processing requirements are explicit parts of the agreed profile.
Named institutional owners hold production authority. Aliph supplies the engineering, evaluation and structured transfer that help those owners make an informed decision and operate the result.
Confirm the institutional task, data owners, classification and intended use. Name the people who control access, approve production and decide on residual risk. Agree the processing and operating environment.
Prepare the governed data foundation and implement the required applications, evidence records and AI controls. Include Arabic and mixed-language requirements, integrations and the permissions needed for the task.
Review task quality, source attribution, control behaviour and failure cases. For learning workflows, apply evaluation and owner approval before release. Present the evidence required for the institution’s production decision.
Transfer the documentation, configuration and practical knowledge to the receiving team. Confirm operating coverage, change review and recovery responsibilities. Maintain a governed route to improve or roll back the accepted implementation.
Share the task, data environment and people responsible. We’ll connect the Aliph wings needed for an approved, evaluated and operable first scope.
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