Aliph Solutions

Secure AI adoption

Create room for AI. Define the safeguards.

Engineer AI authority boundaries, egress protection, exchange logging and adversarial evaluation around an agreed customer environment.

Illustrative infrastructure corridor with glass partitions and a cobalt access panel
The opportunity

Understand what the workflow can see and do.

Aliph Cyber develops AI security controls around the approved workflow: agent authority, data egress, model exchanges and consequential actions. The engineering scope connects classification, privacy transformations, logging and adversarial evaluation. Arcova supports agreed security operations such as monitoring, triage, response and recovery. Service scope is subject to applicable registration, licensing and contracting requirements.

A documented request path

Map how information moves from the user through sources, model processing and output. Identify the systems, identities and third parties involved in the proposed design. Review data handling and operating arrangements with the owners responsible for each boundary.

Authority and egress controls

Define each agent’s remit and enforce the approved source and tool permissions. Select privacy transformations for Arabic and English sensitive fields before model processing where required by classification. Review external model paths and egress explicitly, and make human approval specific to the proposed consequential action.

Adversarial evaluation and operating evidence

Exercise misuse and failure cases in Arabic, dialect and mixed script where relevant to the scope. Agree the exchange and action records needed for investigation, along with access and retention rules. Connect Aliph’s control engineering with Arcova-supported monitoring, response, remediation validation and recovery exercises.

Illustrative scenario

Review an assistant before widening access.

An internal team plans to extend a knowledge assistant from one department to several. The review maps source permissions, examines what the model receives and tests questions using different user roles. A retrieved document containing an instruction unrelated to the task becomes a test case for the proposed safeguards.

The team records observed behaviour, unresolved findings and decisions about what must change before expansion. This illustrative review produces evidence for the responsible approvers; it does not assume that any particular deployment is already secure.

Saudi technology professionals discussing a system design at a laptop
Illustrative imagery accompanying a proposed workflow.
A practical path

From a defined need to a working process.

Map the request from source to model and action. Agree classification, authority, egress and logging requirements, then define the control engineering and operating scope with accountable owners.

01

Establish the intended use

Define the task, users and expected benefit. Identify sensitive material, external processing and the consequences of an incorrect response or action.

02

Review the design boundaries

Map identities, sources, model interactions and tools. Agree security requirements and record the owners of access, data handling and approval decisions.

03

Evaluate realistic scenarios

Exercise representative misuse and failure cases within the authorised scope. Document findings, proposed remediation and the criteria for validating a change.

04

Prepare an informed rollout

Confirm residual decisions, operational responsibilities and incident handling. Plan how new integrations, users and model or prompt changes receive appropriate review.

What to evaluate

Test source access, misuse scenarios, action permissions and the team’s ability to investigate and recover from a failure.

Frequently asked questions

Plan the next step with a clearer picture.

When should security become part of an AI project?

Include security when the workflow and its data flows are being defined. Early review helps the team make informed choices about access, processing and actions. Revisit those decisions as the implementation and intended use become more concrete.

Does a private deployment resolve every concern?

Hosting is one part of the design. The assessment also needs to consider user permissions, source access, application behaviour, output handling and operational response. Review the complete workflow against the organisation’s requirements.

What does testing cover?

The agreed scope can include source-access boundaries, untrusted input, unsupported output and unintended actions. Define the test environment and authorisation before work begins, and select scenarios that reflect the consequences of failure in the intended task.

What happens to findings that cannot be resolved immediately?

Record the finding, business consequence, owner and proposed treatment. The responsible decision-maker should understand the remaining exposure and the conditions for proceeding. A review should make that decision clearer rather than imply a blanket guarantee.

MAKE IT WORK

Plan an AI rollout with clear safeguards.

Tell us about your current process, intended users and requirements. We’ll help define a first implementation and a practical way to evaluate it.

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